Bioinformatics Toolbox™ provides algorithms and apps for Next Generation Sequencing (NGS), microarray analysis, mass spectrometry, and gene ontology. Using toolbox functions, you can read genomic and proteomic data from standard file formats such as SAM, FASTA, CEL, and CDF, as well as from online databases such as the NCBI Gene Expression Omnibus and GenBank®. You can explore and visualize this data with sequence browsers, spatial heatmaps, and clustergrams. The toolbox also provides statistical techniques for detecting peaks, imputing values for missing data, and selecting features.
You can combine toolbox functions to support common bioinformatics workflows. You can use ChIP-Seq data to identify transcription factors; analyze RNA-Seq data to identify differentially expressed genes; identify copy number variants and SNPs in microarray data; and classify protein profiles using mass spectrometry data.
Learn more about computational biology.
Apply basic graph theory to sparse matrices, use classification and statistical learning algorithms, and access the Gene Ontology database.Learn more
Discover more about Bioinformatics Toolbox by exploring these resources.
Explore documentation for Bioinformatics Toolbox functions and features, including release notes and examples.
Browse the list of available Bioinformatics Toolbox functions.
View system requirements for the latest release of Bioinformatics Toolbox.
View articles that demonstrate technical advantages of using Bioinformatics Toolbox.
Use Bioinformatics Toolbox to solve scientific and engineering challenges: