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This list of protein subcellular localisation prediction tools includes software, databases, and web services that are used for protein subcellular localization prediction. Some tools are included that are commonly used to infer location through predicted structural properties, such as signal peptide or transmembrane helices , and these tools ...
UniProt Archive (UniParc) is a comprehensive and non-redundant database, which contains all the protein sequences from the main, publicly available protein sequence databases. [17] Proteins may exist in several different source databases, and in multiple copies in the same database.
RapMap A Rapid, Sensitive and Accurate Tool for Mapping RNA-seq Reads to Transcriptomes. recursiveCorPlot Correlation based clustering for RNA-seq data (+ ggplot corrplot-like interface - R-package: recursiveCorPlot). [66] RNAeXpress Can be run with Java GUI or command line on Mac, Windows, and Linux. It can be configured to perform read ...
The pathway mapping and over-representation tools take a single column of protein/compound identifiers, Uniprot and ChEBI accessions are preferred but the interface will accept and interpret many other identifiers or symbols. Mixed identifiers can be used. Over-representation results are presented as a list of statistically over-represented ...
In 2002, PIR – along with its international partners, the European Bioinformatics Institute and the Swiss Institute of Bioinformatics – were awarded a grant from NIH to create UniProt, a single worldwide database of protein sequence and function, by unifying the Protein Information Resource-Protein Sequence Database, Swiss-Prot, and TrEMBL ...
It can map Illumina and SOLiD reads. Unlike most mapping programs, speed increases for longer read lengths. Yes Free, GPL [49] PRIMEX Indexes the genome with a k-mer lookup table with full sensitivity up to an adjustable number of mismatches. It is best for mapping 15-60 bp sequences to a genome. No No Yes No, multiple processes per search 2003
InterPro is a database of protein families, protein domains and functional sites in which identifiable features found in known proteins can be applied to new protein sequences [2] in order to functionally characterise them.
BioJava is an open-source software project dedicated to provide Java tools to process biological data. [1] [2] [3] BioJava is a set of library functions written in the programming language Java for manipulating sequences, protein structures, file parsers, Common Object Request Broker Architecture (CORBA) interoperability, Distributed Annotation System (DAS), access to AceDB, dynamic ...