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Chipster is a user-friendly analysis software for high-throughput data. It contains over 350 analysis tools for next generation sequencing (NGS), microarray, proteomics and sequence data. Users can save and share automatic analysis workflows, and visualize data interactively using a built-in genome browser and many other visualizations.
Data analysis usually requires a combination of bioinformatics software tools (see also List of RNA-Seq bioinformatics tools) that vary according to the experimental design and goals. The process can be broken down into four stages: quality control, alignment, quantification, and differential expression. [ 105 ]
List of proprietary bioinformatics software; List of open-source bioinformatics software; Alternatively, here is a categorization according to the respective bioinformatics subfield specialized on: Sequence analysis software. List of sequence alignment software; List of alignment visualization software; Alignment-free sequence analysis
Galaxy was originally written for biological data analysis, particularly genomics. The set of available tools has been greatly expanded over the years and Galaxy is now also used for gene expression , genome assembly , proteomics , epigenomics , transcriptomics and host of other disciplines in the life sciences.
Software Description Platform License Developer .NET Bio Language-neutral toolkit built using the Microsoft 4.0 .NET Framework to help developers, researchers, and scientists .NET Framework: Apache: Collaborative project AMPHORA: Metagenomics analysis software Linux: GPL: Jonathan Eisen: Anduril: Component-based workflow framework for data analysis
Computational genomics refers to the use of computational and statistical analysis to decipher biology from genome sequences and related data, [1] including both DNA and RNA sequence as well as other "post-genomic" data (i.e., experimental data obtained with technologies that require the genome sequence, such as genomic DNA microarrays).
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GenMAPP was developed by biologists and is focused on pathway visualization for bench biologists. Unlike many other computational systems biology tools, GenMAPP is not designed for cell/systems modeling; it focuses on the immediate needs of bench biologists by enabling them to rapidly interpret genomic data with an intuitive, easy-to-use interface.