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Database of positive selection based on a rigorous branch-site specific likelihood test. Positive selection is detected using CODEML on all branches of animal gene trees.
Proper citation: Selectome: a Database of Positive Selection (RRID:SCR_004542) Copy
http://amphoranet.pitgroup.org/
Webserver implementation of the AMPHORA2 workflow for phylogenetic analysis of metagenomic shotgun sequencing data. It is capable of assigning a probability-weighted taxonomic group for each phylogenetic marker gene found in the input metagenomic sample.
Proper citation: AmphoraNet (RRID:SCR_005009) Copy
Data analysis service that analyzes DNA sequences and determines their most likely phylogenetic origin. Its main use is in metagenomics projects, where DNA is isolated directly from natural environments and sequenced (the organisms from which the DNA originates are often entirely undescribed). It will search such sequences for suitable marker genes, and will use maximum likelihood analysis to place them in the ''''Tree of Life''''. This placement is more reliable than simply assessing the closest relative of a sequence using BLAST. More importantly, MLTreeMap decides not only who is the closest relative of your query sequence, but also how deep in the tree of life it probably branched off. Additionally, MLTreeMap searches the sequences for genes, which are coding for key enzymes of important functional pathways, such as RuBisCo, methane monooxygenase or nitrogenase. In case of a positive hit, MLTreeMap uses maximum likelihood analysis to place them in the respective ''''gene-family tree''''.
Proper citation: MLTreeMap (RRID:SCR_004792) Copy
http://www.ebi.ac.uk/biosamples/
Database that aggregates sample information for reference samples (e.g. Coriell Cell lines) and samples for which data exist in one of the EBI''''s assay databases such as ArrayExpress, the European Nucleotide Archive or PRoteomics Identificates DatabasE. It provides links to assays for specific samples, and accepts direct submissions of sample information. The goals of the BioSample Database include: # recording and linking of sample information consistently within EBI databases such as ENA, ArrayExpress and PRIDE; # minimizing data entry efforts for EBI database submitters by enabling submitting sample descriptions once and referencing them later in data submissions to assay databases and # supporting cross database queries by sample characteristics. The database includes a growing set of reference samples, such as cell lines, which are repeatedly used in experiments and can be easily referenced from any database by their accession numbers. Accession numbers for the reference samples will be exchanged with a similar database at NCBI. The samples in the database can be queried by their attributes, such as sample types, disease names or sample providers. A simple tab-delimited format facilitates submissions of sample information to the database, initially via email to biosamples (at) ebi.ac.uk. Current data sources: * European Nucleotide Archive (424,811 samples) * PRIDE (17,001 samples) * ArrayExpress (1,187,884 samples) * ENCODE cell lines (119 samples) * CORIELL cell lines (27,002 samples) * Thousand Genome (2,628 samples) * HapMap (1,417 samples) * IMSR (248,660 samples)
Proper citation: BioSample Database at EBI (RRID:SCR_004856) Copy
http://www.ncbi.nlm.nih.gov/Structure/ibis/ibis.cgi
A web server and database that organizes, analyzes and predicts interactions between proteins and other biomolecules. For a given protein sequence or structure query, it reports protein-protein, protein-small molecule, protein nucleic acids and protein-ion interactions observed in experimentally-determined structural biological assemblies. It also infers/predicts interacting partners and binding sites by homology, by inspecting the protein complexes formed by close homologs of a given query. To ensure biological relevance of inferred binding sites, the IBIS algorithm clusters binding sites formed by homologs based on binding site sequence and structure conservation.
Proper citation: IBIS: Inferred Biomolecular Interactions Server (RRID:SCR_004886) Copy
A clade oriented, community curated database containing genomic, genetic, phenotypic and taxonomic information for plant genomes. Genomic information is presented in a comparative format and tied to important plant model species such as Arabidopsis. SGN provides tools such as: BLAST searches, the SolCyc biochemical pathways database, a CAPS experiment designer, an intron detection tool, an advanced Alignment Analyzer, and a browser for phylogenetic trees. The SGN code and database are developed as an open source project, and is based on database schemas developed by the GMOD project and SGN-specific extensions.
Proper citation: SGN (RRID:SCR_004933) Copy
http://katahdin.mssm.edu/kismeth/revpage.pl
A web-based tool for bisulfite sequencing analysis that was designed to be used with plants, since it considers potential cytosine methylation in any sequence context (CG, CHG, and CHH). It provides a tool for the design of bisulfite primers as well as several tools for the analysis of the bisulfite sequencing results. Kismeth is not limited to data from plants, as it can be used with data from any species.
Proper citation: Kismeth (RRID:SCR_005444) Copy
http://www.gene-regulation.com/pub/databases.html#transfac
Manually curated database of eukaryotic transcription factors, their genomic binding sites and DNA binding profiles. Used to predict potential transcription factor binding sites.
Proper citation: TRANSFAC (RRID:SCR_005620) Copy
http://unicarb-db.biomedicine.gu.se
An experimental glycomic MS database initially created to meet the in-house need to store structural and MS-glycomic data. Users can search by taxonomy and tissue, mass and composition, and MS/MS.
Proper citation: UniCarb-DB (RRID:SCR_014407) Copy
A genome and functional genomic database for the protozoan parasite Toxoplasma gondii. It incorporates the sequence and annotation of the T. gondii ME49 strain, as well as genome sequences for the GT1, VEG and RH (Chr Ia, Chr Ib) strains. Sequence information is integrated with various other genomic-scale data, including community annotation, ESTs, gene expression and proteomics data. Organisms * Toxoplasma gondii (ME49, RH, GT1, Veg strains) * Neospora caninum * environmental isolate sequences from numerous species Tools * BLAST: Identify Sequence Similarities * Sequence Retrieval: Retrieve Specific Sequences using IDs and coordinates * PubMed and Entrez: View the Latest Toxoplasma, Neospora Pubmed and Entrez Results * Genome Browser: View Sequences and Features in the genome browser * Ancillary Genome Browse: Access Additional info like Probeset data and Toxoplasma Array info
Proper citation: ApiDB ToxoDB (RRID:SCR_013453) Copy
The HUGE protein database has been created to publicize the Human cDNA project at the Kazusa DNA Research Institute. This project will sequence and analyze long (>4 kb) human cDNAs and establish methods by using the sequence data how to predict the primary structure of proteins of various biological activities. Currently, it focuses on the analysis of cDNA clones encoding particularly large proteins (>50 kDa). The HUGE protein database contains various types of information derived from the predicted primary structure data of newly identified human proteins. The HUGE protein database are expected to cover various sets of large human proteins of hitherto unidentified functions. They are likely to be involved in cellular structure/motility (such as cytoskeleton, membrane skeleton, and motor proteins), gene expression and nucleic acid metabolism, cell signaling/communication (such as cellular adhesion, signal transduction, channels, and receptors), and so on.
Proper citation: HUGE - Human Unidentified Gene-Encoded large proteins (RRID:SCR_013482) Copy
http://db.systemsbiology.net/kaviar/
A database containing a compilation of SNVs, indels, and complex variants observed in humans, designed to facilitate testing for the novelty and frequency of observed variants.
Proper citation: KAVIAR (RRID:SCR_013737) Copy
A database of protein disorder and mobility annotations. The database features three levels of annotation: manually curated data (which are extracted from the DisProt database), indirect data, and predicted data. Additional annotations are included from external sources, including UniProt, Pfam, PDB, and STRING.
Proper citation: MobiDB (RRID:SCR_014542) Copy
https://rtips.cancer.gov/rtips/index.do
Database of cancer control interventions and program materials. It is designed to provide program planners and public health practitioners easy and immediate access to research-tested materials.
Proper citation: Research-tested Intervention Programs (RTIPs) (RRID:SCR_016042) Copy
http://floresta.eead.csic.es/3dfootprint
Database of DNA-binding protein structures that is updated with Protein Data Bank complexes. It provides structure-based binding specificities and sequence logos, classification and clusters of protein-DNA interfaces, and downloads/stats.
Proper citation: 3D-footprint (RRID:SCR_015713) Copy
Database for the identification of the human proteome and its use across the scientific community. Users can browse proteins and chromosomes and contribute to the data repository.
Proper citation: ProteomicsDB (RRID:SCR_015562) Copy
http://bioconductor.org/packages/EGSEA/
Method developed for RNA-sequencing data. EGSEA combines results from twelve algorithms and calculates collective gene set scores to improve the biological relevance of the highest ranked gene sets.
Proper citation: EGSEA (RRID:SCR_015036) Copy
http://emboss.sourceforge.net/apps/cvs/embassy/index.html#DOMSEARCH
Source code for EMBOSS commands to search for protein domains. Its functions include removing redundant and fragment sequences from DHF files, generating PSI-BLAST hits (DHF file) from a DAF file, removing ambiguous classified sequences from DHF files, and generating DHF files from keyword search of UniProt.
Proper citation: Embassy-domsearch (RRID:SCR_016086) Copy
http://amp.pharm.mssm.edu/datasets2tools/
Database for the discovery and evaluation of biomedical digital objects. It includes a wide variety of enrichment analyses, gene interaction networks, interactive data visualizations, datasets, and computational tools.
Proper citation: Datasets2Tools (RRID:SCR_016174) Copy
https://github.com/common-workflow-language/cwltool
Reference implementation of the Common Workflow Language standards. It provides complete features and tools and comprehensive validation of CWL. The reference implementation consists of two packages. The cwltool package is the primary Python module containing the reference implementation in the cwltool module and console executable by the same name. The cwlref-runner package is optional and provides an additional entry point under the alias cwl-runner, which is the implementation-agnostic name for the default CWL interpreter installed on a host.
Proper citation: cwltool (RRID:SCR_015528) Copy
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