The Gene Ontology

Atlas of the Human Journey - The Genographic Project When humans first ventured out of Africa some 60,000 years ago, they left genetic footprints still visible today. By mapping the appearance and frequency of genetic markers in modern peoples, we create a picture of when and where ancient humans moved around the world. These great migrations eventually led the descendants of a small group of Africans to occupy even the farthest reaches of the Earth. Our species is an African one: Africa is where we first evolved, and where we have spent the majority of our time on Earth. The earliest fossils of recognizably modern Homo sapiens appear in the fossil record at Omo Kibish in Ethiopia, around 200,000 years ago.

QuickGO QuickGO News 19 August 2011 - Changes to the Term Basket "Your Terms" renamed The "Your Terms" basket has been given the more descriptive name "Term Basket". Additionally, the icons that were adjacent to each GO ID throughout QuickGO have been replaced with MGED Welcome to the website of the ontology working group for the MGED project, which is charged with developing an ontology for describing samples used in microarray experiments. What is an Ontology? From the Stanford Knowledge Systems Lab:"An ontology is an explicit specification of some topic. For our purposes, it is a formal and declarative representation which includes the vocabulary (or names) for referring to the terms in that subject area and the logical statements that describe what the terms are, how they are related to each other, and how they can or cannot be related to each other.

cardiovasculargeneontology Cardiovascular Gene Annotation The Cardiovascular Gene Annotation Initiative is funded by the British Heart Foundation. The project represents a collaboration between Professor Steve Humphries' Group at UCL, the Proteomic Services Group and Uniprot Content group at European Bioinformatics Institute (EBI) and Professor Manuel Mayr's group at King's College London. This collaboration builds on our previous 5 year annotation initiative which led to the associated over 16,000 GO terms to 1919 human proteins, for an example, see the annotation record of the fully annotated APOA4 protein. In addition. during these 5 years we contributed to the creation of over 1100 GO terms; over 500 of these terms were developed following ontology discussions with experts in heart development and cardiac conduction.

Timeline: The evolution of life - life - 14 July 2009 Read full article Continue reading page |1|2|3|4 There are all sorts of ways to reconstruct the history of life on Earth. Pinning down when specific events occurred is often tricky, though. For this, biologists depend mainly on dating the rocks in which fossils are found, and by looking at the "molecular clocks" in the DNA of living organisms. High-Throughput GoMiner Home Page We have previously developed GoMiner™ , a program that organizes lists of 'interesting' genes (for example, under- and overexpressed genes from a microarray experiment) for biological interpretation in the context of the Gene Ontology. High-Throughput GoMiner is an enhancement of GoMiner which efficiently performs the computationally-challenging task of automated batch processing of an arbitrary number of microarray experiments. High-Throughput GoMiner is implemented with both a command line interface and a web interface . When should you use High-Throughput GoMiner? Multiple changed-gene files Time course on multiple microarrays (See image on right) Multiple drug derivatives generated from combinatorial chemistry Rapid estimation and adjustment of statistical parameters for effect of testing multiple GO categories Integration of relationship of genes and GO categories in multiple experiments Relationship of transcription factor binding sites and GO categories

AmiGO! Your friend in the Gene Ontology. As AmiGO 2 moves forwards and offers new features, there a few features that are deprecated and will eventually no longer be offered. Replacements for some of these tools can be found at GO Tools Registry. The beta GO Galaxy environment is also available for some work. GO Blast This can still be used at the old AmiGO 1.x site:

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GoDiff GODiff version 1.2 (19.2M) GODiff manual (v 1.1, Mar, 2006) GODiff data for update Supplementary materials Table 1 , Table2 , Table3 , Additional file 4 Mondrian, the Genome Data Mapper Software: Getting Started Visualizing genomic profile data in the context of known biological pathways The enables researchers to visualize complex multi-dimensional genomic profiling data in the context of known biological pathways. This page provides a short tutorial for using the software and a webstart with sample data. Getting Started

Evolution: Education and Outreach - Free Access Available As of January 2013 Evolution: Education & Outreach is a peer-reviewed open access journal published under the brand SpringerOpen. From 2013 onward all new articles published in the journal are freely and permanently available online for anyone, anywhere and at any time. This journal promotes accurate understanding and comprehensive teaching of evolutionary theory for a wide audience. Evolution: Education and Outreach addresses the question of why we should care about evolution by exploring the practical applications of evolutionary principles in daily life and the impact of evolutionary theory on culture and society throughout history. Targeting K-16 students, teachers and scientists alike, the journal presents articles to aid members of these communities in the teaching of evolutionary theory. It connects teachers with scientists by adapting cutting-edge, peer reviewed articles for classroom use on varied instructional levels.

Go-Quant Official Website [Main] Welcome to the official GO-Quant Website! GO-Quant is an extended program to extract quantitative gene expression values and to calculate the average intensity or ratio for those significantly altered by functional gene category based on MappFinder Results. A full description of the application can be found in the following article published in Toxicological Science Genetic Pathways to Glioblastoma A Population-Based Study + Author Affiliations Abstract