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A leading source of news on technology and innovation in life sciences IT, informatics, genomics, next-gen, drug discovery, development, and clinical trials.
This blog focusses on next-generation sequencing and microarray technologies.
A question and answer site for professional and enthusiast programmers.
A subreddit dedicated to bioinformatics, computational genomics and systems biology.
A community created to advance the use and value of next-generation sequencing through knowledge sharing.
A large-scale orthology database for prokaryotes and eukaryotes inferred by evolutionary evidence. Contnet includes orthology predictions among 1621 complete genomes (1365 bacterial, 92 archaeal, and 164 eukaryotic), covering >7 million proteins and 4 million pairwise orthologs; Orthologous groups, comprising >300000 groups of orthologous proteins and >236000 corresponding gene trees; and inparalog groups, comprising >500000 groups of inparalogs.
Database of orthologous protein coding genes across vertebrates, arthropods, fungi, basal metazoans, and bacteria.
A software tool for high speed estimation of homology relations within and between species in massive data sets.
A database that identifies orthologs among publicly available, complete genomes. It offers a comprehensive search and numerous display options for 4.7 million proteins from 1000 species. The main features are the orthologous relationships which can be accessed either group-wise, where all group members are orthologous to all other group members, or on a sequence-centric basis, where for a given protein all its orthologs in all other species are displayed.
Software providing a scoring technique for stability selection, which improves the performance of feature selection with LARS. TIGRESS can be run online through the GenePattern platform (GP-DREAM, http://dream.broadinstitute.org).
Calpain cleavage prediction using multiple kernel learning.
Database access to information services, educational opportunities, and resources in print and electronic format to faculty, students, and researchers in the schools of the health sciences.
A knowledge-based data analysis service to predict the localization site(s) of both single-localized and multi-localized proteins.
Data analysis service for predicting subcellular localization of plant proteins with single and multiple sites.
A support vector machine (SVM)-based method for the prediction of 4 major subcellular localization (cytoplasm, mitochondrial, nuclear and plasma membrane) of human proteins using various features such as i) amino acid composition, ii) dipeptide composition and iii) evolutionary information of proteins.
Data analysis service for predicting subcellular localization of eukaryotic proteins including those with multiple sites. Euk-mPLoc covers 22 eukaryotic subcellular locations.
A comprehensive database that gathers all prediction outputs concerning complete prokaryotic proteomes. It is a client-server application, with the server installed and staying at Biogenouest bioinformatics platform, keeping all needed pre-computed genomic data, while the CoBaltDB Client or GUI is a Java application which communicates with the server via web-services. The CoBaltDB Client needs to be downloaded on your computer.
Data analysis service for cluster-based Subcellular localization prediction.
A subCELlular LOcalization predictor based on a multi-class support vector machine (SVM) classification system. CELLO uses 4 types of sequence coding schemes: the amino acid composition, the di-peptide composition, the partitioned amino acid composition and the sequence composition based on the physico-chemical properties of amino acids. They combine votes from these classifiers and use the jury votes to determine the final assignment.
International collaboration of the International Nucleotide Sequence Databases (INSD), DDBJ, ENA, and GenBank, maintained for over 18 years. Individuals submitting data to the international sequence databases should be aware of INSDC policy.