Roadmap Epigenomics Project - Data. Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer. Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer Searching the Database The information in the Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer relates chromosomal aberrations to tumor characteristics, based either on individual cases or associations.
All the data have been manually culled from the literature by Felix Mitelman, Bertil Johansson, and Fredrik Mertens. CGAP has developed six web search tools to help you analyze the information within the Mitelman Database: The Cases Quick Searcher allows you to query the individual patient cases using the four major fields: aberration, breakpoint, morphology, and topography. The Cases Full Searcher permits a more detailed search of the same individual patient cases as above, by including more cytogenetic field choices and adding search fields for patient characteristics and references. KEGG Pathway Maps (Help) The Human Protein Atlas. Gene Regulation - BIOBASE Biological Databases. TRRD. RegulonDB Database. The Human Genome. DBD Database of Biological Biinformatics Database Database of biological Databases Database of Bioinformatics Database.
The International Molecular Exchange Consortium. Curation Rules The curation rules are explained in full in the Curation Manual.
Individual databases may locally impose additional rules, but these will be additional to and not break the agreed IMEx guidelines. IMEx Curation Rules_01_12.pdf Curation Requests Users may request the curation of specific papers not currently included in the IMEx data set. Error reporting Should a user spot any error in any of the IMEx dataset, please do not hesitate to Contact Us with the details and we will endeavor to correct the record. Interactions Databases. The International Molecular Exchange Consortium. The Jena Protein-Protein Interaction Website (PPI): Databases. OSPREY: Network Visualization System. Today, Osprey version 1.2.0 was released to the public. This version is fully compatible with Mac OS X, RedHat Linux, and all version of Microsoft Windows Some changes implemented in this release include: Access to more than 50,000 InteractionsAnnotation for Yeast, Fly, Worm, Human, Mouse, Zebrafish, S.
Pombe, and RatIncreased memory for large datasetsAbility to organize and add datasetsJava webstart capabilityFixes to many 1.0.1 bugsMinor graphical user interface updates Follow the download link off the navigation bar to download your copy today! Protein Interaction Analysis. Protein-Protein Interaction Databases The Biological General Repository for Interaction Datasets (BioGRID) database was developed to house and distribute collections of protein and genetic interactions from major model organism species.
BioGRID currently contains over 198 000 interactions from six different species, as derived from both high-throughput studies and conventional focused studies. Biomolecular INteraction Network Database IntAct provides a freely available, open source database system and analysis tools for protein interaction data. All interactions are derived from literature curation or direct user submissions and are freely available. The DIP database catalogs experimentally determined interactions between proteins. The Molecular INTeraction database (MINT) focuses on experimentally verified protein-protein interactions mined from the scientific literature by expert curators.
A database of protein-protein interactions between large proteins Predicted PPI Databases. 中国医学生物信息网－CMBI. The Brutlag Bioinformatics Group - Projects. The Galaxy Project: Online bioinformatics analysis for everyone. ExPASy: SIB Bioinformatics Resource Portal - Home. ADAN database. Pathguide: the pathway resource list. Protein Ontology. BiologicalNetworks.
萬方數據知識服務平臺-論文檢索結果. Database of Protein and Genetic Interactions. Dip.doe-mbi.ucla.edu/dip/Download.cgi. Various subsets of the DIP interaction data are available in a variety of formats: PSI-MI (versions 1.0 and 2.5), MITAB2.5 and our legacy XIN format.
The sequences of the proteins participating in DIP interactions are provided in FASTA format. In addition, some more detailed information about the interactions of S.cerevisiae proteins are also provided in the form of tab-delimited files. Please note that, in general, the interaction data we offer should be customized before they are used to address any particular problem. This includes, but is not limited to, making informed choices about: Acceptable interaction types. The above issues are not specific to the datasets provided by DIP but reflect the very nature of the experimental data that the knowledge of protein-protein interactions is based upon. The NCBI C++ Toolkit Book - NCBI Bookshelf. Entrez cross-database search.