The Gene Ontology (GO) is a major bioinformatics initiative to unify the representation of gene and gene product attributes across all species. More specifically, the project aims to: 1) maintain and develop its controlled vocabulary of gene and gene product attributes; 2) annotate genes and gene products, and assimilate and disseminate annotation data; and 3) provide tools for easy access to all aspects of the data provided by the project, and to enable functional interpretation of experimental data using the GO, for example via enrichment analysis. GO is part of a larger classification effort, the Open Biomedical Ontologies, being one of the Initial Candidate Members of the OBO Foundry.
Michael Ashburner is a biologist and Emeritus Professor in the Department of Genetics at University of Cambridge. He is also the former joint-head and co-founder of the European Bioinformatics Institute (EBI) of the European Molecular Biology Laboratory (EMBL) and a Fellow of Churchill College, Cambridge.
The Jackson Laboratory is an independent, non-profit biomedical research institution. It employs more than 3,000 employees in Bar Harbor, Maine; Sacramento, California; Farmington, Connecticut; Shanghai, China; and Yokohama, Japan. The institution is a National Cancer Institute-designated Cancer Center and has NIH Centers of Excellence in aging and systems genetics.
David Botstein is an American biologist serving as the chief scientific officer of Calico. He served as the director of the Lewis-Sigler Institute for Integrative Genomics at Princeton University from 2003 to 2013, where he remains an Anthony B. Evnin Professor of Genomics.
Mouse Genome Informatics (MGI) is a free, online database and bioinformatics resource hosted by The Jackson Laboratory, with funding by the National Human Genome Research Institute (NHGRI), the National Cancer Institute (NCI), and the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD). MGI provides access to data on the genetics, genomics and biology of the laboratory mouse to facilitate the study of human health and disease. The database integrates multiple projects, with the two largest contributions coming from the Mouse Genome Database and Mouse Gene Expression Database (GXD). As of 2018, MGI contains data curated from over 230,000 publications.
Webb Colby Miller is a professor in the Department of Biology and the Department of Computer Science and Engineering at The Pennsylvania State University.
Gerald Mayer Rubin is an American biologist, notable for pioneering the use of transposable P elements in genetics, and for leading the public project to sequence the Drosophila melanogaster genome. Related to his genomics work, Rubin's lab is notable for development of genetic and genomics tools and studies of signal transduction and gene regulation. Rubin also serves as a vice president of the Howard Hughes Medical Institute and executive director of the Janelia Research Campus.
The International Knockout Mouse Consortium (IKMC) is a scientific endeavour to produce a collection of mouse embryonic stem cell lines that together lack every gene in the genome, and then to distribute the cells to scientific researchers to create knockout mice to study. Many of the targeted alleles are designed so that they can generate both complete and conditional gene knockout mice. The IKMC was initiated on March 15, 2007 at a meeting in Brussels. By 2011, Nature reported that approximately 17,000 different genes have already been disabled by the consortium, "leaving only around 3,000 more to go".
SUPERFAMILY is a database and search platform of structural and functional annotation for all proteins and genomes. It classifies amino acid sequences into known structural domains, especially into SCOP superfamilies. Domains are functional, structural, and evolutionary units that form proteins. Domains of common Ancestry are grouped into superfamilies. The domains and domain superfamilies are defined and described in SCOP. Superfamilies are groups of proteins which have structural evidence to support a common evolutionary ancestor but may not have detectable sequence homology.
Richard Michael Durbin is a British computational biologist and Al-Kindi Professor of Genetics at the University of Cambridge. He also serves as an associate faculty member at the Wellcome Sanger Institute where he was previously a senior group leader.
Protein function prediction methods are techniques that bioinformatics researchers use to assign biological or biochemical roles to proteins. These proteins are usually ones that are poorly studied or predicted based on genomic sequence data. These predictions are often driven by data-intensive computational procedures. Information may come from nucleic acid sequence homology, gene expression profiles, protein domain structures, text mining of publications, phylogenetic profiles, phenotypic profiles, and protein-protein interaction. Protein function is a broad term: the roles of proteins range from catalysis of biochemical reactions to transport to signal transduction, and a single protein may play a role in multiple processes or cellular pathways.
Lincoln David Stein is a scientist and Professor in bioinformatics and computational biology at the Ontario Institute for Cancer Research.
Suzanna (Suzi) E. Lewis was a scientist and Principal investigator at the Berkeley Bioinformatics Open-source Project based at Lawrence Berkeley National Laboratory until her retirement in 2019. Lewis led the development of open standards and software for genome annotation and ontologies.
The Uber-anatomy ontology (Uberon) is a comparative anatomy ontology representing a variety of structures found in animals, such as lungs, muscles, bones, feathers and fins. These structures are connected to other structures via relationships such as part-of and develops-from. One of the uses of this ontology is to integrate data from different biological databases, and other species-specific ontologies such as the Foundational Model of Anatomy.
In bioinformatics, a Gene Disease Database is a systematized collection of data, typically structured to model aspects of reality, in a way to comprehend the underlying mechanisms of complex diseases, by understanding multiple composite interactions between phenotype-genotype relationships and gene-disease mechanisms. Gene Disease Databases integrate human gene-disease associations from various expert curated databases and text mining derived associations including Mendelian, complex and environmental diseases.
Alexander George Bateman is a computational biologist and Head of Protein Sequence Resources at the European Bioinformatics Institute (EBI), part of the European Molecular Biology Laboratory (EMBL) in Cambridge, UK. He has led the development of the Pfam biological database and introduced the Rfam database of RNA families. He has also been involved in the use of Wikipedia for community-based annotation of biological databases.
Model organism databases (MODs) are biological databases, or knowledgebases, dedicated to the provision of in-depth biological data for intensively studied model organisms. MODs allow researchers to easily find background information on large sets of genes, plan experiments efficiently, combine their data with existing knowledge, and construct novel hypotheses. They allow users to analyse results and interpret datasets, and the data they generate are increasingly used to describe less well studied species. Where possible, MODs share common approaches to collect and represent biological information. For example, all MODs use the Gene Ontology (GO) to describe functions, processes and cellular locations of specific gene products. Projects also exist to enable software sharing for curation, visualization and querying between different MODs. Organismal diversity and varying user requirements however mean that MODs are often required to customize capture, display, and provision of data.
Julio Collado-Vides is a Guatemalan scientist and Professor of Computational Genomics at the National Autonomous University of Mexico. His research focuses on genomics and bioinformatics.
Coisogenic strains are one type of inbred strain that differs by a mutation at a single locus and all of the other loci are identical. There are numerous ways to create an inbred strain and each of these strains are unique. Genetically engineered mice can be considered a coisogenic strain if the only difference between the engineered mouse and a wild-type mouse is a specific locus. Coisogenic strains can be used to investigate the function of a certain genetic locus.
PathoPhenoDB is a biological database. The database connects pathogens to their phenotypes using multiple databases such as NCBI, Human Disease Ontology Human Phenotype Ontology, Mammalian Phenotype Ontology, PubChem, SIDER and CARD. Pathogen-disease associations were gathered mainly through the CDC and the List of Infectious Diseases page on Wikipedia. The manner by which they assigned taxonomy was semi-automatic. When mapped against NCBI Taxonomy, if the pathogen was not an exact match, it was then mapped to the parent class. PathoPhenoDB employs NPMI in order to filter pairs based on their co-occurrence statistics.
