Bioinformatics

•Transferir como PPT, PDF•

6 gostaram•2,243 visualizações

nadimissimple

Bioinformatics

Tecnologia Educação

Prereqs ,[object Object],[object Object],[object Object]

Goals for this course ,[object Object],[object Object],[object Object],[object Object],[object Object]

Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Textbook Plus, there will be supplementary reading assignments, usually online, and a few extra (suggested) readings

General policy/philosophy ,[object Object],[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],[object Object],[email_address]

Strategic overview Instruction set  Active programs  Product  System  Network

Outline for 1 st exam classes (DNA thread)‏ ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

What is Bioinformatics? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

The “old” biology The most challenging task for a scientist is to get good data

The “new” biology The most challenging task for a scientist is to make sense of lots of data

Old vs New - What’s the difference? 1) Economics ,[object Object],[object Object],[object Object],[object Object],[object Object]

What’s the difference? 2) Scale ,[object Object],[object Object],[object Object],[object Object]

What’s the difference? 3) Logic ,[object Object],[object Object],[object Object],[object Object],[object Object]

Data-driven Science Done Wrong ,[object Object],[object Object],[object Object],[object Object]

Data is being collected faster and in greater amounts

Growth in information & knowledge >4,800 Journals >16,000,000 records 672,000 new papers in 2005 (~1,840 per day)‏ MEDLINE spans:

The use of software & algorithms is becoming more common in biomedical research

The use of bioinformatics and rate of growth is field-dependant

Data => Information => Knowledge ,[object Object],[object Object]

Data => Information => Knowledge ,[object Object],[object Object],[object Object],[object Object],Gene X is correlated with disease Y

Data => Information => Knowledge ,[object Object],[object Object],[object Object],[object Object],Gene X is correlated with disease Y Gene X homozygotes have severe disease Gene X is probably causal in disease Y

Bioinformatics – what can it do for you? ,[object Object],[object Object],[object Object]

For next time ,[object Object],[object Object]

Mais conteúdo relacionado

Mais procurados

Functional proteomics, methods and toolsKAUSHAL SAHU

Protein protein interactionKAUSHAL SAHU

Bioinformaticsankitupadhyaya

MetabolomicsBahauddin Zakariya University lahore

Bioinformaticsnadimissimple

Bioinformatics data miningSangeeta Das

sequence of file formats in bioinformaticsnadeem akhter

Bioinformatics in biotechnology by kk sahu KAUSHAL SAHU

BIOINFORMATICS Applications And ChallengesAmos Watentena

Functional proteomics, and toolsKAUSHAL SAHU

Rna seqSean Davis

Application of bioinformaticsKamlesh Patade

Peptide Mass FingerprintingRida Khalid

PpiEr Puspendra Tripathi

BioinformaticsBahauddin Zakariya University lahore

Microarray Data Analysisyuvraj404

String.pptxRitikaChoudhary57

MetabolomicsAnfal Izaldeen AL KATEEB

Proteome analysisAkash Verma

BioinformaticsScitechnol International Publishers

Mais procurados (20)

Functional proteomics, methods and tools

Protein protein interaction

Bioinformatics

Metabolomics

Bioinformatics

Bioinformatics data mining

sequence of file formats in bioinformatics

Bioinformatics in biotechnology by kk sahu

BIOINFORMATICS Applications And Challenges

Functional proteomics, and tools

Rna seq

Application of bioinformatics

Peptide Mass Fingerprinting

Ppi

Bioinformatics

Microarray Data Analysis

String.pptx

Metabolomics

Proteome analysis

Bioinformatics

Destaque

Bioinformatics I-4 lectureSetia Pramana

Bioinformatics principles and applicationsSouth African National Bioinformatics Institute at the University of the Western Cape

Applications Of Bioinformatics In Drug Discovery And ProcessProf. Dr. Basavaraj Nanjwade

Welcoming to incoming bioinformatics students at UCSFDaniel Himmelstein

Clinical Trial ProgramAADYA

ACMG 2017 The Data Behind the Results - Bioinformatics for CliniciansErica Ramos

Drools & jBPM Info SheetMark Proctor

2015 bioinformatics personal_genomics_wim_vancriekingeProf. Wim Van Criekinge

الهوية الرقمية على مواقع التواصل الاجتماعيFatma Esa

Kallio Chipster Bosc2009bosc

Lt npsti process-and_forms_april_2011Mosab-Khayat

Caravane Bio [Mohammed Benbouida, AMBS, Morocco]UNESCO Venice Office

مهارات+1Mosab-Khayat

Supporting bioinformatics applications with hybrid multi-cloud servicesAhmed Abdullah

استراتيجيات العلوم والتكنولوجيا والتجديد العالمية المعاصرة (ST&I)Prof. Tafida Ghanem

Dr Justin Schonfeld - Bioinformatics ApplicationsConsortium for the Barcode of Life (CBOL)

Delivering Bioinformatics MapReduce Applications in the CloudLukas Forer

PresentAhmed Salah

Dr. Dario Lijtmaer - Data Sharing/Collaboration and Publication using BOLDConsortium for the Barcode of Life (CBOL)

e justice Mohamed Elharty

Destaque (20)

Bioinformatics I-4 lecture

Bioinformatics principles and applications

Applications Of Bioinformatics In Drug Discovery And Process

Welcoming to incoming bioinformatics students at UCSF

Clinical Trial Program

ACMG 2017 The Data Behind the Results - Bioinformatics for Clinicians

Drools & jBPM Info Sheet

2015 bioinformatics personal_genomics_wim_vancriekinge

الهوية الرقمية على مواقع التواصل الاجتماعي

Kallio Chipster Bosc2009

Lt npsti process-and_forms_april_2011

Caravane Bio [Mohammed Benbouida, AMBS, Morocco]

مهارات+1

Supporting bioinformatics applications with hybrid multi-cloud services

استراتيجيات العلوم والتكنولوجيا والتجديد العالمية المعاصرة (ST&I)

Dr Justin Schonfeld - Bioinformatics Applications

Delivering Bioinformatics MapReduce Applications in the Cloud

Present

Dr. Dario Lijtmaer - Data Sharing/Collaboration and Publication using BOLD

e justice

Semelhante a Bioinformatics

Introduction to Bioinformatics.Elena Sügis

Computational of Bioinformaticsijtsrd

2016 davis-biotechc.titus.brown

Free webinar-introduction to bioinformatics - biologist-1Elia Brodsky

BioinformaticsJTADrexel

ISMB/ECCB 2013 Keynote Goble Results may vary: what is reproducible? why do o...Carole Goble

Possible Even Popular.docxwrite5

2016 09 cxo forumChris Dwan

Beating Bugs with Big Data: Harnessing HPC to Realize the Potential of Genomi...Tom Connor

Big Data Means Big Potential Challenges for Nurse Execs Response.pdfbkbk37

Data at the NIH: Some Early ThoughtsPhilip Bourne

Supporting researchers in the molecular life sciences Jeff Christiansen ARDC

Semantics for Bioinformatics: What, Why and How of Search, Integration and An...Amit Sheth

Using Bioinformatics Data to inform Therapeutics discovery and developmentEleanor Howe

PhRMA Some Early ThoughtsPhilip Bourne

Bioinformatics: Building the cornerstones of Sequence Homology and its use fo...OECD Environment

Grand round whsiao_may2015IRIDA_community

How Can We Make Genomic Epidemiology a Widespread Reality? - William HsiaoWilliam Hsiao

Diabetes Data SciencePhilip Bourne

Lec1-Intobutest

Semelhante a Bioinformatics (20)

Introduction to Bioinformatics.

Computational of Bioinformatics

2016 davis-biotech

Free webinar-introduction to bioinformatics - biologist-1

Bioinformatics

ISMB/ECCB 2013 Keynote Goble Results may vary: what is reproducible? why do o...

Possible Even Popular.docx

2016 09 cxo forum

Beating Bugs with Big Data: Harnessing HPC to Realize the Potential of Genomi...

Big Data Means Big Potential Challenges for Nurse Execs Response.pdf

Data at the NIH: Some Early Thoughts

Supporting researchers in the molecular life sciences Jeff Christiansen

Semantics for Bioinformatics: What, Why and How of Search, Integration and An...

Using Bioinformatics Data to inform Therapeutics discovery and development

PhRMA Some Early Thoughts

Bioinformatics: Building the cornerstones of Sequence Homology and its use fo...

Grand round whsiao_may2015

How Can We Make Genomic Epidemiology a Widespread Reality? - William Hsiao

Diabetes Data Science

Lec1-Into

Último

From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software

Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge

GenCyber Cyber Security Day PresentationMichael W. Hawkins

Boost PC performance: How more available memory can improve productivityPrincipled Technologies

Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko

How to convert PDF to text with Nanonetsnaman860154

Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun

🐬 The future of MySQL is Postgres 🐘RTylerCroy

08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls

Evaluating the top large language models.pdfChristopherTHyatt

Partners Life - Insurer Innovation Award 2024The Digital Insurer

08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j

Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal

Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer

04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge

How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes

Histor y of HAM Radio presentation slidevu2urc

Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services

Bioinformatics

1. Bioinformatics: Applications ZOO 5903/4903 Fall 2006, MW 10:30-11:45 Sutton Hall, Room 312 Jonathan D. Wren, Ph.D.

5. Textbook Plus, there will be supplementary reading assignments, usually online, and a few extra (suggested) readings

8. Strategic overview Instruction set  Active programs  Product  System  Network

10.

11. The “old” biology The most challenging task for a scientist is to get good data

12. The “new” biology The most challenging task for a scientist is to make sense of lots of data

13.

14.

15.

16.

17. Data is being collected faster and in greater amounts

18.

19. Growth in information & knowledge >4,800 Journals >16,000,000 records 672,000 new papers in 2005 (~1,840 per day)‏ MEDLINE spans:

20. The use of software & algorithms is becoming more common in biomedical research

21. Bio informatics

22. The use of bioinformatics and rate of growth is field-dependant

23.

24.

25.

26.

27.

28.

29.

Bioinformatics

Recomendados

Recomendados

Mais conteúdo relacionado

Mais procurados

Mais procurados (20)

Destaque

Destaque (20)

Semelhante a Bioinformatics

Semelhante a Bioinformatics (20)

Último

Último (20)

Bioinformatics