SlideShare uma empresa Scribd logo
1 de 23
The EMBL-European
Bioinformatics Institute
Prepared by
Chandan N Dipke
Assistant Professor
MGM’s College of CS & IT Nanded (MS)
Email: cdipke@gmail.com
The science of storing, retrieving and analyzing
large amounts of biological information
An interdisciplinary science, involving biologists,
computer scientists and mathematicians
At the heart of modern biology
2
What is bioinformatics?
3
Biology is changing
• Data explosion
• New types of data
• High-throughput biology
• Emphasis on systems,
not reductionism
• Growth of applied biology
• molecular medicine
• agriculture
• food
• environmental sciences…
0
2000
4000
6000
8000
10000
12000
Disks(TB)
Year
Growth of raw storage
at EMBL-EBI
(in terabytes)
What is EMBL-EBI?
4
• Bioinformatics research and services institute
• Non-profit organization
• www.ebi.ac.uk/embl and www.ebi.ac.uk
• ~ 500 staff
• Part of the European Molecular Biology Laboratory
• Bioinformatics research and services institute
the resources of European Molecular Biology Laboratory (EMBL/EBI):
divided into two categories –
databases and tools or bio-software.
EBI’s FTP server provides open access to downloadable databases and bio-
software.
6
New types of data
Genomes
Nucleotide sequence
Gene expression
Proteomes
Protein families, domains
and motifs
Protein structure
Protein-protein
interactions
Chemical entities
Pathways
Systems
Literature
Protein sequence
The five branches of EMBL
Mouse biologyStructural biology
Bioinformatics
Hinxton
Structural biology
Hamburg
• Basic research in
molecular biology
• Administration
• EMBO
Heidelberg
• 1500 staff
• >60 nationalities
MonterotondoGrenoble
8
EMBL member states
Austria, Belgium, Croatia, Denmark,
Finland, France, Germany, Greece,
Iceland, Ireland, Israel, Italy,
Luxembourg, the Netherlands,
Norway, Portugal, Spain, Sweden,
Switzerland and the United Kingdom
Associate member state: Australia
9
EMBL-EBI’s Mission
• To provide freely available data and bioinformatics services to
all facets of the scientific community in ways that promote
scientific progress
• To contribute to the advancement of biology through basic
investigator-driven research in bioinformatics
• To provide advanced bioinformatics training to scientists at all
levels, from PhD students to independent investigators
• To help disseminate cutting-edge technologies to industry
• To coordinate biological data provision across Europe
• The key goal of the EMBL nucleotide sequence database is to build,
maintain and prepare biological database and other computational
services to support data deposition and data analysis make them available
to the scientific community.
• EMBL-EBI is a huge warehouse of biological data and bio-software.
Key Goal
1
1
EMBL-EBI
Cairns
Pavilion
(shared)
Sanger Institute
Sulston building
Data centre
Sanger labs
/
informatics
The Wellcome Trust Genome Campus
© John Freebury
European node for globally coordinated data
collection and dissemination projects
Core databases produced in collaboration
with other world leaders, including NCBI (US),
National Institute of Genetics (Japan), Swiss
Institute of Bioinformatics, Cold Spring Harbor
Laboratory (US)
The world’s most comprehensive collection of
molecular databases
12
Key facts about services
1
3
Databases: molecules to systems
Genomes
Ensembl
Ensembl Genomes
EGA
Nucleotide sequence
ENA
Functional genomics
ArrayExpress
Expression Atlas
Protein Sequences
UniProt
Protein families,
motifs and domains
InterPro
Macromolecular
PDBe
Protein activity
IntAct , PRIDE
Chemical entities
ChEBI
Pathways
Reactome
Systems
BioModels
BioSamples
Literature and ontologies
CiteXplore, GO
Chemogenomics
ChEMBL
Database collaborations
1
5
Standards development – international collaborations
Genome annotation
www.geneontology.org
Functional Genomics Data
Society
www.fged.org
Protein sequence
www.uniprot.org
HUPO- Proteomics
Standards Initiative
(PSI)
www.psidev.info/
Protein structure
www.wwpdb.org
Cheminformatics
www.ebi.ac.uk/chebi
Pathways
www.reactome.org
www.biopax.org
Systems modelling
standards
www.sbml.orgMetabolomics Standards Initiative (MSI)
www.metabolomicssociety.org
Genomics Standards Consortium (GSC)
http://gensc.org
Nucleotide sequence
www.insdc.org
New search service
Access from the EBI’s
homepage
Data organised
according to:
• gene
• expression
• protein
• structure
• literature
Species selector
allows for easy
comparison
Explore data,
return easily to
your results
1
6
Relevant to ‘wet-lab’ biologists
Organises information based around a single
gene
(or a small number of genes)
User-expectation centric (not database centric)
Smooth transition to the detailed information in
many of EBI’s core databases
NOT for bioinformaticians:
does not provide programmatic access
17
Goals of the new EBI Search
A unique
environment for
bioinformatics
research
Nine dedicated
research groups
Seven services
teams also carry
out R&D
Research and
services are
mutually
supportive
Key facts about research at EMBL-EBI
34
Research themes
Genomes
Nick Goldman
Ewan Birney
Paul Flicek
Transcriptomes
Anton Enright
John Marioni
Alvis Brazma
Proteins
Janet Thornton
Rolf Apweiler
Gerard Kleywegt
Chemistry
Christoph Steinbeck
John Overington
Pathways and systems
Nicolas Le Novère
Nick Luscombe
Paul Bertone
Julio Saez-Rodriguez
Text mining
Dietrich Rebholz-Schuhmann
Service team leaders
who also have research
groups are in italics
Pre- and postdocs at EMBL-EBI
• EMBL International PhD Programme
• Postdoctoral fellowships:
– EIPOD – EMBL-sponsored interdisciplinary fellowships
– ESPOD – EBI–Sanger combined experimental and computational
fellowships
REFERENCES
 http://www.ebi.ac.uk/Information/Brochures
 www.ebi.ac.uk/support
 www.ebi.ac.uk/help
THANK YOU

Mais conteúdo relacionado

Mais procurados

Pairwise sequence alignment
Pairwise sequence alignmentPairwise sequence alignment
Pairwise sequence alignment
avrilcoghlan
 

Mais procurados (20)

Sequence Analysis
Sequence AnalysisSequence Analysis
Sequence Analysis
 
Pairwise sequence alignment
Pairwise sequence alignmentPairwise sequence alignment
Pairwise sequence alignment
 
Systems biology
Systems biologySystems biology
Systems biology
 
System's Biology
System's Biology System's Biology
System's Biology
 
UniProt
UniProtUniProt
UniProt
 
Major databases in bioinformatics
Major databases in bioinformaticsMajor databases in bioinformatics
Major databases in bioinformatics
 
NGS: Mapping and de novo assembly
NGS: Mapping and de novo assemblyNGS: Mapping and de novo assembly
NGS: Mapping and de novo assembly
 
NCBI
NCBINCBI
NCBI
 
Introduction to Bioinformatics
Introduction to BioinformaticsIntroduction to Bioinformatics
Introduction to Bioinformatics
 
Protein Databases
Protein DatabasesProtein Databases
Protein Databases
 
Protein database
Protein databaseProtein database
Protein database
 
Kegg
KeggKegg
Kegg
 
Introduction to sequence alignment
Introduction to sequence alignmentIntroduction to sequence alignment
Introduction to sequence alignment
 
EMBL
EMBLEMBL
EMBL
 
protein data bank
protein data bankprotein data bank
protein data bank
 
Gene prediction methods vijay
Gene prediction methods  vijayGene prediction methods  vijay
Gene prediction methods vijay
 
Phylogenetic analysis
Phylogenetic analysis Phylogenetic analysis
Phylogenetic analysis
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
Proteins databases
Proteins databasesProteins databases
Proteins databases
 
FASTA
FASTAFASTA
FASTA
 

Destaque (8)

Ddbj
DdbjDdbj
Ddbj
 
Ab Initio Protein Structure Prediction
Ab Initio Protein Structure PredictionAb Initio Protein Structure Prediction
Ab Initio Protein Structure Prediction
 
Homology modeling
Homology modelingHomology modeling
Homology modeling
 
Cytoscape plugins - GeneMania and CentiScape
Cytoscape plugins - GeneMania and CentiScapeCytoscape plugins - GeneMania and CentiScape
Cytoscape plugins - GeneMania and CentiScape
 
Kegg database resources
Kegg database resources Kegg database resources
Kegg database resources
 
Protein database
Protein databaseProtein database
Protein database
 
Biological databases
Biological databasesBiological databases
Biological databases
 
Protein databases
Protein databasesProtein databases
Protein databases
 

Semelhante a Introduction to bioinformatics

Ontology Services for the Biomedical Sciences
Ontology Services for the Biomedical SciencesOntology Services for the Biomedical Sciences
Ontology Services for the Biomedical Sciences
Connected Data World
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
biinoida
 

Semelhante a Introduction to bioinformatics (20)

Introduction to ncbi, embl, ddbj
Introduction to ncbi, embl, ddbjIntroduction to ncbi, embl, ddbj
Introduction to ncbi, embl, ddbj
 
World-wide data exchange in metabolomics, Wageningen, October 2016
World-wide data exchange in metabolomics, Wageningen, October 2016World-wide data exchange in metabolomics, Wageningen, October 2016
World-wide data exchange in metabolomics, Wageningen, October 2016
 
European molecular biology laboratory (EMBL)
European molecular biology laboratory (EMBL)European molecular biology laboratory (EMBL)
European molecular biology laboratory (EMBL)
 
Developing an Efficient Infrastruture, Standards and Data-Flow for Metabolomics
Developing an Efficient Infrastruture, Standards and Data-Flow for MetabolomicsDeveloping an Efficient Infrastruture, Standards and Data-Flow for Metabolomics
Developing an Efficient Infrastruture, Standards and Data-Flow for Metabolomics
 
Multi-Omics Bioinformatics across Application Domains
Multi-Omics Bioinformatics across Application DomainsMulti-Omics Bioinformatics across Application Domains
Multi-Omics Bioinformatics across Application Domains
 
Advanced Bioinformatics for Genomics and BioData Driven Research
Advanced Bioinformatics for Genomics and BioData Driven ResearchAdvanced Bioinformatics for Genomics and BioData Driven Research
Advanced Bioinformatics for Genomics and BioData Driven Research
 
Developments in Metabolomics leading to PhenoMeNal
Developments in Metabolomics leading to PhenoMeNalDevelopments in Metabolomics leading to PhenoMeNal
Developments in Metabolomics leading to PhenoMeNal
 
Building a Model Organism Metabolome Database
Building a  Model Organism Metabolome DatabaseBuilding a  Model Organism Metabolome Database
Building a Model Organism Metabolome Database
 
Supporting researchers in the molecular life sciences Jeff Christiansen
Supporting researchers in the molecular life sciences Jeff Christiansen Supporting researchers in the molecular life sciences Jeff Christiansen
Supporting researchers in the molecular life sciences Jeff Christiansen
 
Sharing data from clinical and medical research
Sharing data from clinical and medical researchSharing data from clinical and medical research
Sharing data from clinical and medical research
 
Ontology Services for the Biomedical Sciences
Ontology Services for the Biomedical SciencesOntology Services for the Biomedical Sciences
Ontology Services for the Biomedical Sciences
 
Big Data
Big DataBig Data
Big Data
 
AB3ACBS 2016: EMBL Australia Bioinformatics Resource
AB3ACBS 2016: EMBL Australia Bioinformatics ResourceAB3ACBS 2016: EMBL Australia Bioinformatics Resource
AB3ACBS 2016: EMBL Australia Bioinformatics Resource
 
ELIXIR and data grand challenges in life sciences
ELIXIR and data grand challenges in life sciencesELIXIR and data grand challenges in life sciences
ELIXIR and data grand challenges in life sciences
 
PhenoMeNal presentation at STFC-ELIXIR Meeting Hinxon
PhenoMeNal presentation at STFC-ELIXIR Meeting HinxonPhenoMeNal presentation at STFC-ELIXIR Meeting Hinxon
PhenoMeNal presentation at STFC-ELIXIR Meeting Hinxon
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
Biological database....pptx
Biological database....pptxBiological database....pptx
Biological database....pptx
 
What are Databases?
What are Databases?What are Databases?
What are Databases?
 
ELIXIR
ELIXIRELIXIR
ELIXIR
 
Large Scale computing with medical metabolic phenotyping data
Large Scale computing with medical metabolic phenotyping dataLarge Scale computing with medical metabolic phenotyping data
Large Scale computing with medical metabolic phenotyping data
 

Último

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
 
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
 

Último (20)

Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
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)
 
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
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
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
 
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
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
 
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...
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
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
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the Classroom
 
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
 
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
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Dyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptxDyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptx
 

Introduction to bioinformatics

  • 1. The EMBL-European Bioinformatics Institute Prepared by Chandan N Dipke Assistant Professor MGM’s College of CS & IT Nanded (MS) Email: cdipke@gmail.com
  • 2. The science of storing, retrieving and analyzing large amounts of biological information An interdisciplinary science, involving biologists, computer scientists and mathematicians At the heart of modern biology 2 What is bioinformatics?
  • 3. 3 Biology is changing • Data explosion • New types of data • High-throughput biology • Emphasis on systems, not reductionism • Growth of applied biology • molecular medicine • agriculture • food • environmental sciences… 0 2000 4000 6000 8000 10000 12000 Disks(TB) Year Growth of raw storage at EMBL-EBI (in terabytes)
  • 4. What is EMBL-EBI? 4 • Bioinformatics research and services institute • Non-profit organization • www.ebi.ac.uk/embl and www.ebi.ac.uk • ~ 500 staff • Part of the European Molecular Biology Laboratory
  • 5. • Bioinformatics research and services institute the resources of European Molecular Biology Laboratory (EMBL/EBI): divided into two categories – databases and tools or bio-software. EBI’s FTP server provides open access to downloadable databases and bio- software.
  • 6. 6 New types of data Genomes Nucleotide sequence Gene expression Proteomes Protein families, domains and motifs Protein structure Protein-protein interactions Chemical entities Pathways Systems Literature Protein sequence
  • 7. The five branches of EMBL Mouse biologyStructural biology Bioinformatics Hinxton Structural biology Hamburg • Basic research in molecular biology • Administration • EMBO Heidelberg • 1500 staff • >60 nationalities MonterotondoGrenoble
  • 8. 8 EMBL member states Austria, Belgium, Croatia, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Israel, Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland and the United Kingdom Associate member state: Australia
  • 9. 9 EMBL-EBI’s Mission • To provide freely available data and bioinformatics services to all facets of the scientific community in ways that promote scientific progress • To contribute to the advancement of biology through basic investigator-driven research in bioinformatics • To provide advanced bioinformatics training to scientists at all levels, from PhD students to independent investigators • To help disseminate cutting-edge technologies to industry • To coordinate biological data provision across Europe
  • 10. • The key goal of the EMBL nucleotide sequence database is to build, maintain and prepare biological database and other computational services to support data deposition and data analysis make them available to the scientific community. • EMBL-EBI is a huge warehouse of biological data and bio-software. Key Goal
  • 11. 1 1 EMBL-EBI Cairns Pavilion (shared) Sanger Institute Sulston building Data centre Sanger labs / informatics The Wellcome Trust Genome Campus © John Freebury
  • 12. European node for globally coordinated data collection and dissemination projects Core databases produced in collaboration with other world leaders, including NCBI (US), National Institute of Genetics (Japan), Swiss Institute of Bioinformatics, Cold Spring Harbor Laboratory (US) The world’s most comprehensive collection of molecular databases 12 Key facts about services
  • 13. 1 3 Databases: molecules to systems Genomes Ensembl Ensembl Genomes EGA Nucleotide sequence ENA Functional genomics ArrayExpress Expression Atlas Protein Sequences UniProt Protein families, motifs and domains InterPro Macromolecular PDBe Protein activity IntAct , PRIDE Chemical entities ChEBI Pathways Reactome Systems BioModels BioSamples Literature and ontologies CiteXplore, GO Chemogenomics ChEMBL
  • 15. 1 5 Standards development – international collaborations Genome annotation www.geneontology.org Functional Genomics Data Society www.fged.org Protein sequence www.uniprot.org HUPO- Proteomics Standards Initiative (PSI) www.psidev.info/ Protein structure www.wwpdb.org Cheminformatics www.ebi.ac.uk/chebi Pathways www.reactome.org www.biopax.org Systems modelling standards www.sbml.orgMetabolomics Standards Initiative (MSI) www.metabolomicssociety.org Genomics Standards Consortium (GSC) http://gensc.org Nucleotide sequence www.insdc.org
  • 16. New search service Access from the EBI’s homepage Data organised according to: • gene • expression • protein • structure • literature Species selector allows for easy comparison Explore data, return easily to your results 1 6
  • 17. Relevant to ‘wet-lab’ biologists Organises information based around a single gene (or a small number of genes) User-expectation centric (not database centric) Smooth transition to the detailed information in many of EBI’s core databases NOT for bioinformaticians: does not provide programmatic access 17 Goals of the new EBI Search
  • 18. A unique environment for bioinformatics research Nine dedicated research groups Seven services teams also carry out R&D Research and services are mutually supportive Key facts about research at EMBL-EBI
  • 19. 34 Research themes Genomes Nick Goldman Ewan Birney Paul Flicek Transcriptomes Anton Enright John Marioni Alvis Brazma Proteins Janet Thornton Rolf Apweiler Gerard Kleywegt Chemistry Christoph Steinbeck John Overington Pathways and systems Nicolas Le Novère Nick Luscombe Paul Bertone Julio Saez-Rodriguez Text mining Dietrich Rebholz-Schuhmann Service team leaders who also have research groups are in italics
  • 20. Pre- and postdocs at EMBL-EBI • EMBL International PhD Programme • Postdoctoral fellowships: – EIPOD – EMBL-sponsored interdisciplinary fellowships – ESPOD – EBI–Sanger combined experimental and computational fellowships
  • 21.