SlideShare uma empresa Scribd logo
1 de 90
^…
22 april 2015
• ^ Biobix: Who ? Where ?
• Bioinformatics
• Personal Genomics
• DIY Bio
^[now][transl comput]ational⎮ [epi]genomic$
22 april 2015
• ^ Biobix: Who ? Where ?
• Bioinformatics
• Personal Genomics
• DIY Bio
^[now][transl comput]ational⎮ [epi]genomic$
Ghent University at a glance
Department of
Molecular Biotechnology
Lab for Bioinformatics and
computational genomics
10 “genome hackers”
mostly engineers (statistics)
42 scientists
technicians, geneticists, clinicians
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and
computational genomics
10 “genome hackers”
mostly engineers (statistics)
42 scientists
technicians, geneticists, clinicians
>100 people
Hardware/software engineers,
mathematicians, molecular biologists
Lab for Bioinformatics and computational genomics
22 april 2015
• ^ Biobix: Who ? Where ?
• Bioinformatics
• Personal Genomics
• DIY Bio
^[now][transl comput]ational⎮ [epi]genomic$
Lab for Bioinformatics and computational genomics
22 april 2015
• ^ Biobix: Who ? Where ?
• Bioinformatics
• Personal Genomics
• DIY Bio
^[now][transl comput]ational⎮ [epi]genomic$
Bioinformatics ?
•Application of information
technology to the storage,
management and analysis of
biological information
•Facilitated by the use of computers
Math Algorithm
Development
Informatics
Interface Design
Bioinformatics, a scientific discipline …
AI, Image Analysis
structure prediction (HTX)
Theoretical Biology
Sequence Analysis
Computational Biology
(Molecular)
Biology
Expert Annotation
Computer Science
NP
Datamining
Bioinformatics
Discovery Informatics – Computational Genomics
Lab for Bioinformatics and computational genomics
22 april 2015
• ^ Biobix: Who ? Where ?
• Bioinformatics
• Personal Genomics
• DIY Bio
^[now][transl comput]ational⎮ [epi]genomic$
Lab for Bioinformatics and computational genomics
Cell Theory
• All organisms are
composed of one or
more cells.
• Cells are the smallest
living units of all living
organisms.
• Cells arise only by
division of a previously
existing cell.
Lab for Bioinformatics and computational genomics
Cell Theory
Lab for Bioinformatics and computational genomics
Genetic code
DNA
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
The human genome comprises the information contained in one
set of human chromosomes which themselves contain about 3
billion base pairs (bp) of DNA in 46 chromosomes (22
autosome pairs + 2 sex chromosomes). The total length of DNA
present in one adult human is calculated by the multiplication of
(length of 1 bp)(number of bp per cell)(number of cells in the body)
DNA: Structure and Function
Lab for Bioinformatics and computational genomics
The human genome comprises the information contained in one
set of human chromosomes which themselves contain about 3
billion base pairs (bp) of DNA in 46 chromosomes (22
autosome pairs + 2 sex chromosomes). The total length of DNA
present in one adult human is calculated by the multiplication of
(length of 1 bp)(number of bp per cell)(number of cells in the body)
(0.34 × 10-9
m)(6 × 109
)(1013
)
2.0 × 1013
 meters
DNA: Structure and Function
Lab for Bioinformatics and computational genomics
The human genome comprises the information contained in one
set of human chromosomes which themselves contain about 3
billion base pairs (bp) of DNA in 46 chromosomes (22
autosome pairs + 2 sex chromosomes). The total length of DNA
present in one adult human is calculated by the multiplication of
(length of 1 bp)(number of bp per cell)(number of cells in the body)
(0.34 × 10-9
m)(6 × 109
)(1013
)
2.0 × 1013
 meters
That is the equivalent of nearly 70 trips from the earth to 
the sun and back.
DNA: Structure and Function
Lab for Bioinformatics and computational genomics
22 april 2015
• ^ Biobix: Who ? Where ?
• Bioinformatics
• Personal Genomics
• 3D printing
^[now][transl comput]ational⎮ [epi]genomic$
Lab for Bioinformatics and computational genomics
107
106
105
104
103
102
101
1108
109
Full genome bp
G
E
N
E
T
I
C
Whole-genome
sequencing
Enrichment seq
(Exome)
PCR
Enrichment
Targeted Panels
Instrument and Assay providers
CLIA Lab service providers
Lab for Bioinformatics and computational genomics
The genome fits as an e-mail attachment
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Overview
• Who ? Where ?
• > Genetics
• Technology: Next Gen
Sequencing
• Personal …. Medicine/Genomics
• Manifesto
• The App
Molecular Profiling
The study of specific patterns (fingerprints) of proteins,
DNA, and/or mRNA and how these patterns correlate
with an individual's physical characteristics or
symptoms of disease.
Lab for Bioinformatics and computational genomics
Overview
• Who ? Where ?
• > Genetics
• Technology: Next Gen
Sequencing
• … Personal Genomics
• Manifesto
• The App
^[now][transl comput]ational⎮ [epi]genomic$
Generic Health advice
•Exercise (Hypertrophic Cardiomyopathy)
•Drink your milk (MCM6 Lactose intolarance)
•Eat your green beans (glucose-6-phosphate
dehydrogenase Deficiency)
•& your grains (HLA-DQ2 – Celiac disease)
•& your iron (HFE - Hemochromatosis)
•Get more rest (HLA-DR2 - Narcolepsy)
Generic Health advice (UNLESS)
•Exercise (Hypertrophic Cardiomyopathy)
•Drink your milk (MCM6 Lactose intolarance)
•Eat your green beans (glucose-6-phosphate
dehydrogenase Deficiency)
•& your grains (HLA-DQ2 – Celiac disease)
•& your iron (HFE - Hemochromatosis)
•Get more rest (HLA-DR2 - Narcolepsy)
Generic Health advice (UNLESS)
•Exercise (Hypertrophic Cardiomyopathy)
•Drink your milk (MCM6 Lactose intolerance)
•Eat your green beans (glucose-6-phosphate
dehydrogenase Deficiency)
•& your grains (HLA-DQ2 – Celiac disease)
•& your iron (HFE - Hemochromatosis)
•Get more rest (HLA-DR2 - Narcolepsy)
Generic Health advice (UNLESS)
•Exercise (Hypertrophic Cardiomyopathy)
•Drink your milk (MCM6 Lactose intolerance)
•Eat your green beans (glucose-6-phosphate
dehydrogenase Deficiency)
•& your grains (HLA-DQ2 – Celiac disease)
•& your iron (HFE - Hemochromatosis)
•Get more rest (HLA-DR2 - Narcolepsy)
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
my genome is too important (for me)
to leave it (only) to doctors
Lab for Bioinformatics and computational genomics
NXTGNT biohackerspace …
Lab for Bioinformatics and computational genomics
PGMv2: Personal Genomics Manifesto
Lab for Bioinformatics and computational genomics
Everyone should have the power and legitimacy to
be able to discover, develop and find new things
about their own genome data.
Intelligent exploration, experimentation and trial to
push the boundaries of knowledge are a basic
human right.
PGMv2: Personal Genomics Manifesto
Lab for Bioinformatics and computational genomics
Personal genome data access should be
affordable to all irrespective of nationality, gender,
social background or any other circumstance.
Not having access to a personal genetic test is in
itself a new kind of discrimination.
PGMv2: Personal Genomics Manifesto
Lab for Bioinformatics and computational genomics
Whether one wants to share genome data or keep it
private should be a matter of personal choice.
Whatever attitude a person has towards personal
genome privacy, it should be utterly respected.
Corporate interest can never compromise any human
right. Laws must fully protect individual human rights of
equality for every person, irrespective of predicted risks
from genetic data.
PGMv2: Personal Genomics Manifesto
Lab for Bioinformatics and computational genomics
Stating that genetic tests merely provide non-
clinical information misses the point of what
personal genomics is all about.
Most genomic information is uninterpretable and
may well be meaningless. But those are not
reasons to deny it to people.
Genetic test results are not unrelated to
someone’s health, one’s ability to respond to
certain drugs and one’s ethnic ancestry.
PGMv2: Personal Genomics Manifesto
Lab for Bioinformatics and computational genomics
Education in risks and opportunities for personal
genetic testing should be the primary aim of
policy makers.
Restricting access to interested people makes
no sense and it is virtually impossible to ensure.
Access to personal genomics data and tools for
its interpretation should become accessible to
everyone.
PGMv2: Personal Genomics Manifesto
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Epigenome(s)
Lab for Bioinformatics and computational genomics
22 april 2015
• ^ Biobix: Who ? Where ?
• Bioinformatics
• Personal Genomics
• DIY Bio
^[now][transl comput]ational⎮ [epi]genomic$
Lab for Bioinformatics and computational genomics
22 april 2015
• ^ Biobix: Who ? Where ?
• Bioinformatics
• Epigenetics
• Personal Genomics
• DIY Bio
^[now][transl comput]ational⎮ [epi]genomic$
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Howto
• http://www.rcsb.org/pdb/home/home.do
• Search “Green Fluorescent Protein”
• Launch MaxPyMol
• Open 2YOG.PDB
Creates gfp.wrl file
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
The goal: printing a fully functional artificial leaf, one
actually capable of photosynthesis.
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Lab for Bioinformatics and computational genomics
Is there DIY Bio Tissue ?
Set-out a few dates to browse/follow/journal club Biocoder
Select a (few) projects (iGem)
Start Biohacking
Lab for Bioinformatics and computational genomics
… $

Mais conteúdo relacionado

Mais procurados

Personalized Medicine and the Omics Revolution by Professor Mike Snyder
Personalized Medicine and the Omics Revolution by Professor Mike SnyderPersonalized Medicine and the Omics Revolution by Professor Mike Snyder
Personalized Medicine and the Omics Revolution by Professor Mike Snyder
The Hive
 
Whole genome sequencing of bacteria & analysis
Whole genome sequencing of bacteria & analysisWhole genome sequencing of bacteria & analysis
Whole genome sequencing of bacteria & analysis
drelamuruganvet
 
Next generation sequencing in pharmacogenomics
Next generation sequencing in pharmacogenomicsNext generation sequencing in pharmacogenomics
Next generation sequencing in pharmacogenomics
Dr. Gerry Higgins
 

Mais procurados (20)

2015 bioinformatics bio_cheminformatics_wim_vancriekinge
2015 bioinformatics bio_cheminformatics_wim_vancriekinge2015 bioinformatics bio_cheminformatics_wim_vancriekinge
2015 bioinformatics bio_cheminformatics_wim_vancriekinge
 
2014 11 03_bioinformatics_case_studies
2014 11 03_bioinformatics_case_studies2014 11 03_bioinformatics_case_studies
2014 11 03_bioinformatics_case_studies
 
Personalized Medicine and the Omics Revolution by Professor Mike Snyder
Personalized Medicine and the Omics Revolution by Professor Mike SnyderPersonalized Medicine and the Omics Revolution by Professor Mike Snyder
Personalized Medicine and the Omics Revolution by Professor Mike Snyder
 
The Microbiome of Research Animals : Implications for Reproducibility, Transl...
The Microbiome of Research Animals : Implications for Reproducibility, Transl...The Microbiome of Research Animals : Implications for Reproducibility, Transl...
The Microbiome of Research Animals : Implications for Reproducibility, Transl...
 
Python meetup 2014
Python meetup 2014Python meetup 2014
Python meetup 2014
 
Plant genome sequencing and crop improvement
Plant genome sequencing and crop improvementPlant genome sequencing and crop improvement
Plant genome sequencing and crop improvement
 
Whole genome sequencing of bacteria & analysis
Whole genome sequencing of bacteria & analysisWhole genome sequencing of bacteria & analysis
Whole genome sequencing of bacteria & analysis
 
Pattemore 2015
Pattemore 2015Pattemore 2015
Pattemore 2015
 
Next generation sequencing in pharmacogenomics
Next generation sequencing in pharmacogenomicsNext generation sequencing in pharmacogenomics
Next generation sequencing in pharmacogenomics
 
Genome sequencing and undiagnosed disease
Genome sequencing and undiagnosed diseaseGenome sequencing and undiagnosed disease
Genome sequencing and undiagnosed disease
 
Aug2015 deanna church analytical validation
Aug2015 deanna church analytical validationAug2015 deanna church analytical validation
Aug2015 deanna church analytical validation
 
Embed Repro Test
Embed Repro TestEmbed Repro Test
Embed Repro Test
 
Genome annotation 2013
Genome annotation 2013Genome annotation 2013
Genome annotation 2013
 
2015 10 21_pathology_wim_vancriekinge
2015 10 21_pathology_wim_vancriekinge2015 10 21_pathology_wim_vancriekinge
2015 10 21_pathology_wim_vancriekinge
 
EU PathoNGenTraceConsortium:cgMLST Evolvement and Challenges for Harmonization
EU PathoNGenTraceConsortium:cgMLST Evolvement and Challenges for HarmonizationEU PathoNGenTraceConsortium:cgMLST Evolvement and Challenges for Harmonization
EU PathoNGenTraceConsortium:cgMLST Evolvement and Challenges for Harmonization
 
Developing a Rapid Clinical Sequencing System to Classify Meningioma: Meet th...
Developing a Rapid Clinical Sequencing System to Classify Meningioma: Meet th...Developing a Rapid Clinical Sequencing System to Classify Meningioma: Meet th...
Developing a Rapid Clinical Sequencing System to Classify Meningioma: Meet th...
 
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
NGS Applications II (UEB-UAT Bioinformatics Course - Session 2.1.3 - VHIR, Ba...
 
2016 bioinformatics i_bio_cheminformatics_wimvancriekinge
2016 bioinformatics i_bio_cheminformatics_wimvancriekinge2016 bioinformatics i_bio_cheminformatics_wimvancriekinge
2016 bioinformatics i_bio_cheminformatics_wimvancriekinge
 
Microbial Genomics and Bioinformatics: BM405 (2015)
Microbial Genomics and Bioinformatics: BM405 (2015)Microbial Genomics and Bioinformatics: BM405 (2015)
Microbial Genomics and Bioinformatics: BM405 (2015)
 
BIOL335: Functional genomics
BIOL335: Functional genomicsBIOL335: Functional genomics
BIOL335: Functional genomics
 

Destaque

2014 03 28_next_generation_epigenetic_profling_v_les_epigenetica_vweb
2014 03 28_next_generation_epigenetic_profling_v_les_epigenetica_vweb2014 03 28_next_generation_epigenetic_profling_v_les_epigenetica_vweb
2014 03 28_next_generation_epigenetic_profling_v_les_epigenetica_vweb
Prof. Wim Van Criekinge
 

Destaque (20)

2012 12 12_adam_v_final
2012 12 12_adam_v_final2012 12 12_adam_v_final
2012 12 12_adam_v_final
 
Mini symposium
Mini symposiumMini symposium
Mini symposium
 
Bioinformatica t8-go-hmm
Bioinformatica t8-go-hmmBioinformatica t8-go-hmm
Bioinformatica t8-go-hmm
 
Thesis2014
Thesis2014Thesis2014
Thesis2014
 
Bioinformatica 06-10-2011-t2-databases
Bioinformatica 06-10-2011-t2-databasesBioinformatica 06-10-2011-t2-databases
Bioinformatica 06-10-2011-t2-databases
 
2011 10 26_quantitative_cell_biology_molecular_profiling_v_twitter
2011 10 26_quantitative_cell_biology_molecular_profiling_v_twitter2011 10 26_quantitative_cell_biology_molecular_profiling_v_twitter
2011 10 26_quantitative_cell_biology_molecular_profiling_v_twitter
 
2015 bioinformatics python_introduction_wim_vancriekinge_vfinal
2015 bioinformatics python_introduction_wim_vancriekinge_vfinal2015 bioinformatics python_introduction_wim_vancriekinge_vfinal
2015 bioinformatics python_introduction_wim_vancriekinge_vfinal
 
2015 bioinformatics bio_python_partii
2015 bioinformatics bio_python_partii2015 bioinformatics bio_python_partii
2015 bioinformatics bio_python_partii
 
Bioinformatics v2014 wim_vancriekinge
Bioinformatics v2014 wim_vancriekingeBioinformatics v2014 wim_vancriekinge
Bioinformatics v2014 wim_vancriekinge
 
Bioinformatics t7-proteinstructure v2014
Bioinformatics t7-proteinstructure v2014Bioinformatics t7-proteinstructure v2014
Bioinformatics t7-proteinstructure v2014
 
Bioinformatica 29-09-2011-p1-introduction
Bioinformatica 29-09-2011-p1-introductionBioinformatica 29-09-2011-p1-introduction
Bioinformatica 29-09-2011-p1-introduction
 
Bioinformatica t7-protein structure
Bioinformatica t7-protein structureBioinformatica t7-protein structure
Bioinformatica t7-protein structure
 
December 2012 drylab
December 2012 drylabDecember 2012 drylab
December 2012 drylab
 
Bioinformatica 27-10-2011-t4-alignments
Bioinformatica 27-10-2011-t4-alignmentsBioinformatica 27-10-2011-t4-alignments
Bioinformatica 27-10-2011-t4-alignments
 
2015 bioinformatics go_hmm_wim_vancriekinge
2015 bioinformatics go_hmm_wim_vancriekinge2015 bioinformatics go_hmm_wim_vancriekinge
2015 bioinformatics go_hmm_wim_vancriekinge
 
Bioinformatica p1-perl-introduction
Bioinformatica p1-perl-introductionBioinformatica p1-perl-introduction
Bioinformatica p1-perl-introduction
 
2014 03 28_next_generation_epigenetic_profling_v_les_epigenetica_vweb
2014 03 28_next_generation_epigenetic_profling_v_les_epigenetica_vweb2014 03 28_next_generation_epigenetic_profling_v_les_epigenetica_vweb
2014 03 28_next_generation_epigenetic_profling_v_les_epigenetica_vweb
 
Bioinformatica p6-bioperl
Bioinformatica p6-bioperlBioinformatica p6-bioperl
Bioinformatica p6-bioperl
 
2015 09 imec_wim_vancriekinge_v42_to_present
2015 09 imec_wim_vancriekinge_v42_to_present2015 09 imec_wim_vancriekinge_v42_to_present
2015 09 imec_wim_vancriekinge_v42_to_present
 
2015 bioinformatics bio_python_part4
2015 bioinformatics bio_python_part42015 bioinformatics bio_python_part4
2015 bioinformatics bio_python_part4
 

Semelhante a 2015 04 22_time_labs_shared

bioinformatics simple
bioinformatics simple bioinformatics simple
bioinformatics simple
nadeem akhter
 
Introducción a la bioinformatica
Introducción a la bioinformaticaIntroducción a la bioinformatica
Introducción a la bioinformatica
Martín Arrieta
 
Developing tools & Methodologies for the NExt Generation of Genomics & Bio In...
Developing tools & Methodologies for the NExt Generation of Genomics & Bio In...Developing tools & Methodologies for the NExt Generation of Genomics & Bio In...
Developing tools & Methodologies for the NExt Generation of Genomics & Bio In...
Intel IT Center
 
Comparative genomics and proteomics
Comparative genomics and proteomicsComparative genomics and proteomics
Comparative genomics and proteomics
Nikhil Aggarwal
 

Semelhante a 2015 04 22_time_labs_shared (20)

2014 05 21_personal_genomics_v_n2n_vfinal
2014 05 21_personal_genomics_v_n2n_vfinal2014 05 21_personal_genomics_v_n2n_vfinal
2014 05 21_personal_genomics_v_n2n_vfinal
 
2013 10 23_dna_for_dummies_v_presented
2013 10 23_dna_for_dummies_v_presented2013 10 23_dna_for_dummies_v_presented
2013 10 23_dna_for_dummies_v_presented
 
Open data genomics_palermo_2017_ver03
Open data genomics_palermo_2017_ver03Open data genomics_palermo_2017_ver03
Open data genomics_palermo_2017_ver03
 
2019-06-21 YC Preso V5.pdf
2019-06-21 YC Preso V5.pdf2019-06-21 YC Preso V5.pdf
2019-06-21 YC Preso V5.pdf
 
Bioinformatica 29-09-2011-t1-bioinformatics
Bioinformatica 29-09-2011-t1-bioinformaticsBioinformatica 29-09-2011-t1-bioinformatics
Bioinformatica 29-09-2011-t1-bioinformatics
 
01. Introduction to Bioinformatics.pptx
01. Introduction to Bioinformatics.pptx01. Introduction to Bioinformatics.pptx
01. Introduction to Bioinformatics.pptx
 
Bioinformatics issues and challanges presentation at s p college
Bioinformatics  issues and challanges  presentation at s p collegeBioinformatics  issues and challanges  presentation at s p college
Bioinformatics issues and challanges presentation at s p college
 
bioinformatics simple
bioinformatics simple bioinformatics simple
bioinformatics simple
 
TLSC Biotech 101 Noc 2010 (Moore)
TLSC Biotech 101 Noc 2010 (Moore)TLSC Biotech 101 Noc 2010 (Moore)
TLSC Biotech 101 Noc 2010 (Moore)
 
Introducción a la bioinformatica
Introducción a la bioinformaticaIntroducción a la bioinformatica
Introducción a la bioinformatica
 
2014 12-11 Skipr99 masterclass Arnhem
2014 12-11 Skipr99 masterclass Arnhem2014 12-11 Skipr99 masterclass Arnhem
2014 12-11 Skipr99 masterclass Arnhem
 
NGS and the molecular basis of disease: a practical view
NGS and the molecular basis of disease: a practical viewNGS and the molecular basis of disease: a practical view
NGS and the molecular basis of disease: a practical view
 
Bioinformatics workshop presentation
Bioinformatics   workshop presentationBioinformatics   workshop presentation
Bioinformatics workshop presentation
 
Nov 2014 ouellette_windsor_icgc_final
Nov 2014 ouellette_windsor_icgc_finalNov 2014 ouellette_windsor_icgc_final
Nov 2014 ouellette_windsor_icgc_final
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
Basic of bioinformatics
Basic of bioinformaticsBasic of bioinformatics
Basic of bioinformatics
 
Developing tools & Methodologies for the NExt Generation of Genomics & Bio In...
Developing tools & Methodologies for the NExt Generation of Genomics & Bio In...Developing tools & Methodologies for the NExt Generation of Genomics & Bio In...
Developing tools & Methodologies for the NExt Generation of Genomics & Bio In...
 
Bio Informatics
Bio InformaticsBio Informatics
Bio Informatics
 
Comparative genomics and proteomics
Comparative genomics and proteomicsComparative genomics and proteomics
Comparative genomics and proteomics
 
JALANov2000
JALANov2000JALANov2000
JALANov2000
 

Mais de Prof. Wim Van Criekinge

Mais de Prof. Wim Van Criekinge (20)

2020 02 11_biological_databases_part1
2020 02 11_biological_databases_part12020 02 11_biological_databases_part1
2020 02 11_biological_databases_part1
 
2019 03 05_biological_databases_part5_v_upload
2019 03 05_biological_databases_part5_v_upload2019 03 05_biological_databases_part5_v_upload
2019 03 05_biological_databases_part5_v_upload
 
2019 03 05_biological_databases_part4_v_upload
2019 03 05_biological_databases_part4_v_upload2019 03 05_biological_databases_part4_v_upload
2019 03 05_biological_databases_part4_v_upload
 
2019 03 05_biological_databases_part3_v_upload
2019 03 05_biological_databases_part3_v_upload2019 03 05_biological_databases_part3_v_upload
2019 03 05_biological_databases_part3_v_upload
 
2019 02 21_biological_databases_part2_v_upload
2019 02 21_biological_databases_part2_v_upload2019 02 21_biological_databases_part2_v_upload
2019 02 21_biological_databases_part2_v_upload
 
2019 02 12_biological_databases_part1_v_upload
2019 02 12_biological_databases_part1_v_upload2019 02 12_biological_databases_part1_v_upload
2019 02 12_biological_databases_part1_v_upload
 
P7 2018 biopython3
P7 2018 biopython3P7 2018 biopython3
P7 2018 biopython3
 
P6 2018 biopython2b
P6 2018 biopython2bP6 2018 biopython2b
P6 2018 biopython2b
 
P4 2018 io_functions
P4 2018 io_functionsP4 2018 io_functions
P4 2018 io_functions
 
P3 2018 python_regexes
P3 2018 python_regexesP3 2018 python_regexes
P3 2018 python_regexes
 
T1 2018 bioinformatics
T1 2018 bioinformaticsT1 2018 bioinformatics
T1 2018 bioinformatics
 
P1 2018 python
P1 2018 pythonP1 2018 python
P1 2018 python
 
Bio ontologies and semantic technologies[2]
Bio ontologies and semantic technologies[2]Bio ontologies and semantic technologies[2]
Bio ontologies and semantic technologies[2]
 
2018 05 08_biological_databases_no_sql
2018 05 08_biological_databases_no_sql2018 05 08_biological_databases_no_sql
2018 05 08_biological_databases_no_sql
 
2018 03 27_biological_databases_part4_v_upload
2018 03 27_biological_databases_part4_v_upload2018 03 27_biological_databases_part4_v_upload
2018 03 27_biological_databases_part4_v_upload
 
2018 03 20_biological_databases_part3
2018 03 20_biological_databases_part32018 03 20_biological_databases_part3
2018 03 20_biological_databases_part3
 
2018 02 20_biological_databases_part2_v_upload
2018 02 20_biological_databases_part2_v_upload2018 02 20_biological_databases_part2_v_upload
2018 02 20_biological_databases_part2_v_upload
 
2018 02 20_biological_databases_part1_v_upload
2018 02 20_biological_databases_part1_v_upload2018 02 20_biological_databases_part1_v_upload
2018 02 20_biological_databases_part1_v_upload
 
P7 2017 biopython3
P7 2017 biopython3P7 2017 biopython3
P7 2017 biopython3
 
P6 2017 biopython2
P6 2017 biopython2P6 2017 biopython2
P6 2017 biopython2
 

Último

Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
negromaestrong
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
ZurliaSoop
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
AnaAcapella
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
QucHHunhnh
 

Último (20)

Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
Unit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptxUnit-IV; Professional Sales Representative (PSR).pptx
Unit-IV; Professional Sales Representative (PSR).pptx
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Dyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptxDyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptx
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
Magic bus Group work1and 2 (Team 3).pptx
Magic bus Group work1and 2 (Team 3).pptxMagic bus Group work1and 2 (Team 3).pptx
Magic bus Group work1and 2 (Team 3).pptx
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 

2015 04 22_time_labs_shared

  • 2. 22 april 2015 • ^ Biobix: Who ? Where ? • Bioinformatics • Personal Genomics • DIY Bio ^[now][transl comput]ational⎮ [epi]genomic$
  • 3. 22 april 2015 • ^ Biobix: Who ? Where ? • Bioinformatics • Personal Genomics • DIY Bio ^[now][transl comput]ational⎮ [epi]genomic$
  • 4. Ghent University at a glance Department of Molecular Biotechnology Lab for Bioinformatics and computational genomics 10 “genome hackers” mostly engineers (statistics) 42 scientists technicians, geneticists, clinicians
  • 5. Lab for Bioinformatics and computational genomics Lab for Bioinformatics and computational genomics 10 “genome hackers” mostly engineers (statistics) 42 scientists technicians, geneticists, clinicians >100 people Hardware/software engineers, mathematicians, molecular biologists
  • 6. Lab for Bioinformatics and computational genomics 22 april 2015 • ^ Biobix: Who ? Where ? • Bioinformatics • Personal Genomics • DIY Bio ^[now][transl comput]ational⎮ [epi]genomic$
  • 7. Lab for Bioinformatics and computational genomics 22 april 2015 • ^ Biobix: Who ? Where ? • Bioinformatics • Personal Genomics • DIY Bio ^[now][transl comput]ational⎮ [epi]genomic$
  • 8. Bioinformatics ? •Application of information technology to the storage, management and analysis of biological information •Facilitated by the use of computers
  • 9. Math Algorithm Development Informatics Interface Design Bioinformatics, a scientific discipline … AI, Image Analysis structure prediction (HTX) Theoretical Biology Sequence Analysis Computational Biology (Molecular) Biology Expert Annotation Computer Science NP Datamining Bioinformatics Discovery Informatics – Computational Genomics
  • 10.
  • 11. Lab for Bioinformatics and computational genomics 22 april 2015 • ^ Biobix: Who ? Where ? • Bioinformatics • Personal Genomics • DIY Bio ^[now][transl comput]ational⎮ [epi]genomic$
  • 12. Lab for Bioinformatics and computational genomics Cell Theory • All organisms are composed of one or more cells. • Cells are the smallest living units of all living organisms. • Cells arise only by division of a previously existing cell.
  • 13. Lab for Bioinformatics and computational genomics Cell Theory
  • 14. Lab for Bioinformatics and computational genomics Genetic code DNA
  • 15. Lab for Bioinformatics and computational genomics
  • 16. Lab for Bioinformatics and computational genomics The human genome comprises the information contained in one set of human chromosomes which themselves contain about 3 billion base pairs (bp) of DNA in 46 chromosomes (22 autosome pairs + 2 sex chromosomes). The total length of DNA present in one adult human is calculated by the multiplication of (length of 1 bp)(number of bp per cell)(number of cells in the body) DNA: Structure and Function
  • 17. Lab for Bioinformatics and computational genomics The human genome comprises the information contained in one set of human chromosomes which themselves contain about 3 billion base pairs (bp) of DNA in 46 chromosomes (22 autosome pairs + 2 sex chromosomes). The total length of DNA present in one adult human is calculated by the multiplication of (length of 1 bp)(number of bp per cell)(number of cells in the body) (0.34 × 10-9 m)(6 × 109 )(1013 ) 2.0 × 1013  meters DNA: Structure and Function
  • 18. Lab for Bioinformatics and computational genomics The human genome comprises the information contained in one set of human chromosomes which themselves contain about 3 billion base pairs (bp) of DNA in 46 chromosomes (22 autosome pairs + 2 sex chromosomes). The total length of DNA present in one adult human is calculated by the multiplication of (length of 1 bp)(number of bp per cell)(number of cells in the body) (0.34 × 10-9 m)(6 × 109 )(1013 ) 2.0 × 1013  meters That is the equivalent of nearly 70 trips from the earth to  the sun and back. DNA: Structure and Function
  • 19. Lab for Bioinformatics and computational genomics 22 april 2015 • ^ Biobix: Who ? Where ? • Bioinformatics • Personal Genomics • 3D printing ^[now][transl comput]ational⎮ [epi]genomic$
  • 20. Lab for Bioinformatics and computational genomics 107 106 105 104 103 102 101 1108 109 Full genome bp G E N E T I C Whole-genome sequencing Enrichment seq (Exome) PCR Enrichment Targeted Panels Instrument and Assay providers CLIA Lab service providers
  • 21. Lab for Bioinformatics and computational genomics
  • 22. The genome fits as an e-mail attachment
  • 23. Lab for Bioinformatics and computational genomics
  • 24. Lab for Bioinformatics and computational genomics
  • 25. Lab for Bioinformatics and computational genomics Overview • Who ? Where ? • > Genetics • Technology: Next Gen Sequencing • Personal …. Medicine/Genomics • Manifesto • The App
  • 26. Molecular Profiling The study of specific patterns (fingerprints) of proteins, DNA, and/or mRNA and how these patterns correlate with an individual's physical characteristics or symptoms of disease.
  • 27. Lab for Bioinformatics and computational genomics Overview • Who ? Where ? • > Genetics • Technology: Next Gen Sequencing • … Personal Genomics • Manifesto • The App ^[now][transl comput]ational⎮ [epi]genomic$
  • 28. Generic Health advice •Exercise (Hypertrophic Cardiomyopathy) •Drink your milk (MCM6 Lactose intolarance) •Eat your green beans (glucose-6-phosphate dehydrogenase Deficiency) •& your grains (HLA-DQ2 – Celiac disease) •& your iron (HFE - Hemochromatosis) •Get more rest (HLA-DR2 - Narcolepsy)
  • 29. Generic Health advice (UNLESS) •Exercise (Hypertrophic Cardiomyopathy) •Drink your milk (MCM6 Lactose intolarance) •Eat your green beans (glucose-6-phosphate dehydrogenase Deficiency) •& your grains (HLA-DQ2 – Celiac disease) •& your iron (HFE - Hemochromatosis) •Get more rest (HLA-DR2 - Narcolepsy)
  • 30. Generic Health advice (UNLESS) •Exercise (Hypertrophic Cardiomyopathy) •Drink your milk (MCM6 Lactose intolerance) •Eat your green beans (glucose-6-phosphate dehydrogenase Deficiency) •& your grains (HLA-DQ2 – Celiac disease) •& your iron (HFE - Hemochromatosis) •Get more rest (HLA-DR2 - Narcolepsy)
  • 31. Generic Health advice (UNLESS) •Exercise (Hypertrophic Cardiomyopathy) •Drink your milk (MCM6 Lactose intolerance) •Eat your green beans (glucose-6-phosphate dehydrogenase Deficiency) •& your grains (HLA-DQ2 – Celiac disease) •& your iron (HFE - Hemochromatosis) •Get more rest (HLA-DR2 - Narcolepsy)
  • 32. Lab for Bioinformatics and computational genomics
  • 33. Lab for Bioinformatics and computational genomics
  • 34.
  • 35. Lab for Bioinformatics and computational genomics
  • 36. Lab for Bioinformatics and computational genomics
  • 37. Lab for Bioinformatics and computational genomics
  • 38. Lab for Bioinformatics and computational genomics
  • 39. Lab for Bioinformatics and computational genomics
  • 40. Lab for Bioinformatics and computational genomics
  • 41. Lab for Bioinformatics and computational genomics my genome is too important (for me) to leave it (only) to doctors
  • 42.
  • 43. Lab for Bioinformatics and computational genomics NXTGNT biohackerspace …
  • 44. Lab for Bioinformatics and computational genomics PGMv2: Personal Genomics Manifesto
  • 45. Lab for Bioinformatics and computational genomics Everyone should have the power and legitimacy to be able to discover, develop and find new things about their own genome data. Intelligent exploration, experimentation and trial to push the boundaries of knowledge are a basic human right. PGMv2: Personal Genomics Manifesto
  • 46. Lab for Bioinformatics and computational genomics Personal genome data access should be affordable to all irrespective of nationality, gender, social background or any other circumstance. Not having access to a personal genetic test is in itself a new kind of discrimination. PGMv2: Personal Genomics Manifesto
  • 47. Lab for Bioinformatics and computational genomics Whether one wants to share genome data or keep it private should be a matter of personal choice. Whatever attitude a person has towards personal genome privacy, it should be utterly respected. Corporate interest can never compromise any human right. Laws must fully protect individual human rights of equality for every person, irrespective of predicted risks from genetic data. PGMv2: Personal Genomics Manifesto
  • 48. Lab for Bioinformatics and computational genomics Stating that genetic tests merely provide non- clinical information misses the point of what personal genomics is all about. Most genomic information is uninterpretable and may well be meaningless. But those are not reasons to deny it to people. Genetic test results are not unrelated to someone’s health, one’s ability to respond to certain drugs and one’s ethnic ancestry. PGMv2: Personal Genomics Manifesto
  • 49. Lab for Bioinformatics and computational genomics Education in risks and opportunities for personal genetic testing should be the primary aim of policy makers. Restricting access to interested people makes no sense and it is virtually impossible to ensure. Access to personal genomics data and tools for its interpretation should become accessible to everyone. PGMv2: Personal Genomics Manifesto
  • 50. Lab for Bioinformatics and computational genomics
  • 51.
  • 52.
  • 53.
  • 54.
  • 55.
  • 56. Lab for Bioinformatics and computational genomics
  • 57. Lab for Bioinformatics and computational genomics Epigenome(s)
  • 58. Lab for Bioinformatics and computational genomics 22 april 2015 • ^ Biobix: Who ? Where ? • Bioinformatics • Personal Genomics • DIY Bio ^[now][transl comput]ational⎮ [epi]genomic$
  • 59. Lab for Bioinformatics and computational genomics 22 april 2015 • ^ Biobix: Who ? Where ? • Bioinformatics • Epigenetics • Personal Genomics • DIY Bio ^[now][transl comput]ational⎮ [epi]genomic$
  • 60. Lab for Bioinformatics and computational genomics
  • 61. Lab for Bioinformatics and computational genomics
  • 62.
  • 63.
  • 65.
  • 66.
  • 67.
  • 70.
  • 71.
  • 72.
  • 73.
  • 75.
  • 76.
  • 77.
  • 78.
  • 79.
  • 80.
  • 81. Lab for Bioinformatics and computational genomics
  • 82. Lab for Bioinformatics and computational genomics
  • 83. Lab for Bioinformatics and computational genomics
  • 84. Lab for Bioinformatics and computational genomics The goal: printing a fully functional artificial leaf, one actually capable of photosynthesis.
  • 85. Lab for Bioinformatics and computational genomics
  • 86. Lab for Bioinformatics and computational genomics
  • 87. Lab for Bioinformatics and computational genomics
  • 88. Lab for Bioinformatics and computational genomics
  • 89. Lab for Bioinformatics and computational genomics Is there DIY Bio Tissue ? Set-out a few dates to browse/follow/journal club Biocoder Select a (few) projects (iGem) Start Biohacking
  • 90. Lab for Bioinformatics and computational genomics … $