'Gene ontology' diaporamas de présentation

Introduction to the Workshop

Introduction to the Workshop. Parts and Classes in Biomedical Ontology. Barry Smith http://ontologist.com. GO:0003673: cell fate commitment. Definition: The commitment of cells to specific cell fates and their capacity to differentiate into particular kinds of cells. .

1.52k views • 143 slides

An Introduction to Ontology for Evolutionary Biology

An Introduction to Ontology for Evolutionary Biology. Barry Smith. Who am I?. Stanford Medical Informatics University of San Francisco Medical Center The Mayo Clinic University at Buffalo (PI of Dissemination and Ontology Best Practices).

1.19k views • 106 slides

Canadian Bioinformatics Workshops

1.76k views • 62 slides

Bioinformatics II http://biochem158.stanford.edu/bioinformatics.html

Genomics, Bioinformatics & Medicine http://biochem158.stanford.edu/. Bioinformatics II http://biochem158.stanford.edu/bioinformatics.html. Doug Brutlag Professor Emeritus of Biochemistry & Medicine Stanford University School of Medicine.

587 views • 49 slides

Literature Mining and Ontology BMI/IBGP 730 Autumn, 2010

Literature Mining and Ontology BMI/IBGP 730 Autumn, 2010. Yang Xiang, Ph.D. in Computer Science yxiang@bmi.osu.edu Department of Biomedical Informatics The Ohio State University. Outline. What is Literature Mining? Popular Tools for Literature Mining Basic Techniques

548 views • 40 slides

ChIP-on-Chip and Differential Location Analysis

ChIP-on-Chip and Differential Location Analysis. Junguk Hur School of Informatics. October 4, 2005. Overview. Introduction to Transcriptional Regulation ChIP-on-Chip (ChIP-Chip) Current Approaches Our Approach. Transcription. Translation. Protein. RNA. The Central Dogma. DNA.

733 views • 34 slides

UCSC Genome Browser

UCSC Genome Browser. The Progress. Database and Tool Explosion. 2000 : 230 databases and tools. 1996 : first annual compilation of databases and tools lists 57 databases and tools. 2009: 1170 databases and tools. The annual database issue of Nucleic Acids Research has grown

435 views • 33 slides

A stepwise procedure for conditional testing of GO term overrepresentation Constantin Georgescu

A stepwise procedure for conditional testing of GO term overrepresentation Constantin Georgescu . The human genome. The whole hereditary information of an organism: Instructions providing all the information necessary for a living organism to grow and live

587 views • 31 slides

Introduce GeneSpring GX12

Introduce GeneSpring GX12. Yun Lian 04-27-2012. GeneSpring Layout. Organization of Elements. Project : a container for a collection of exp. Experiment : a collection of samples for which arrays have been run in order to answer a specific scientific question.

357 views • 29 slides

Species-Neutral vs. Multi-Species Ontologies

Species-Neutral vs. Multi-Species Ontologies. Barry Smith. New York Times response. US DoD Civil Affairs strategy for non-classified information sharing . DoD annual budget $800 billion IT budget for HR alone: $6 billion http://goo.gl/znpWk. Environment (EnvO, EO).

350 views • 21 slides

Strategy of the study

Study of coordinative gene expression at the biological process level Tianwei Yu , Wei Sun , Shinsheng Yuan and Ker-Chau Li Bioinformatics 2005 21(18):3651-3657.

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Cross- P roduct Status in GO

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Rama Balakrishnan

Rama Balakrishnan. AmiGO Tutorial. Saccharomyces Genome Database (SGD) Stanford University. What is AmiGO?. Web application that reads from the GO Database (mySQL) Allows to browse the ontologies view annotations from various species compare sequences using BLAST (GOst)

537 views • 17 slides

Analysis of Differential Gene Expression in a Myotonic Dystrophy Tissue Cultue Model

Analysis of Differential Gene Expression in a Myotonic Dystrophy Tissue Cultue Model. Matthew Tanner Berglund Lab, Institute of Molecular Biology CIS 407 Dec. 2 nd , 2013. Myotonic Dystrophy 1 (DM1). Symptoms

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Gene Ontology (GO) http://www.geneontology.org/

Gene Ontology (GO) http://www.geneontology.org/.

534 views • 14 slides

Integrating the Cell Cycle Ontology with the Mouse Genome Database

Integrating the Cell Cycle Ontology with the Mouse Genome Database. DAVID R. SMITH DR. MARY DOLAN DR. JUDITH BLAKE. Ontology. A vocabulary of terms used in a specific domain, definitions of those terms, and the defined relationships between them The two ontologies being used in my project:

254 views • 12 slides

AIDS 2012 T. Blake Ball National Laboratory for HIV Immunology, Public Health Agency Canada

Highly HIV exposed seronegative (HESN) sex workers from Nairobi, Kenya have altered innate mucosal immune responses at the level of the female genital tract. AIDS 2012 T. Blake Ball National Laboratory for HIV Immunology, Public Health Agency Canada

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FLJ bud vs flower1

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Development of the Field of Biomedical Ontology

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Predicted Genes

Input. Features. Tools (databases). Final Steps. LipoP. Consensus Annotation (merging). Lipoproteins & Signal peptides. Predicted Genes. SignalP. Orthology. Blast (COGs). Translated Amino Acids. Homology (pan-proteome). BlastP ( UniProt ). KAAS - KEGG. Blast2GO (GO-ID).

85 views • 1 slides