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Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 671 software packages, and an active user community. Bioconductor is also available as an Amazon Machine Image (AMI).
The Distributed Annotation System (DAS) & BioDas defines a communication protocol used to exchange annotations on genomic or protein sequences. It is motivated by the idea that such annotations should not be provided by single centralized databases, but should instead be spread over multiple sites. Data distribution, performed by DAS servers, is separated from visualization, which is done by DAS clients. The advantages of this system are that control over the data is retained by data providers, data is freed from the constraints of specific organisations and the normal issues of release cycles, API updates and data duplication are avoided.
BioJava is an open-source project dedicated to providing a Java framework for processing biological data. It provides analytical and statistical routines, parsers for common file formats and allows the manipulation of sequences and 3D structures. The goal of the biojava project is to facilitate rapid application development for bioinformatics.
BioPAX is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Specifically, BioPAX supports data exchange between pathway data groups and thus reduces the complexity of interchange between data formats by providing an accepted standard format for pathway data. It is an open and collaborative effort by the community of researchers, software developers, and institutions. BioPAX is defined in OWL DL and is represented in the RDF/XML format. BioPAX Paper was published in Nature Biotechnology in 2010.
Biophp The aim of this site is to share knowledge by using a Wiki-like service: classes, functions and minitools may be edited by registered users. More info here.
Biopython is a set of freely available tools for biological computation written in Python by an international team of developers.
BioRuby comes with a comprehensive set of free development tools and libraries for bioinformatics and molecular biology, for the Ruby programming language. BioRuby has components for sequence analysis, pathway analysis, protein modelling and phylogenetic analysis; it supports many widely used data formats and provides easy access to databases, external programs and public web services, including BLAST, KEGG, GenBank, MEDLINE and GO.
BioSmalltalk is an open source library for doing bioinformatics with Smalltalk. BioSmalltalk enables you to build bioinformatics scripts and applications using the most powerful object technology as of today, the Smalltalk programming environment. See the installation page for details about downloading the environment.
Ensembl uses MySQL relational databases to store its information. A comprehensive set of Application Programme Interfaces (APIs) serve as a middle-layer between underlying database schemes and more specific application programmes. The APIs aim to encapsulate the database layout by providing efficient high-level access to data tables and isolate applications from data layout changes.
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