Get Started with Bioinformatics Toolbox
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.
- Exploring a Nucleotide Sequence Using the Sequence Viewer App
Use a graphical interface for the sequence functions.
- Explore a Protein Sequence Using the Sequence Viewer App
Use the Biological Sequence Viewer to investigate protein sequences
- Compare Sequences Using Sequence Alignment Algorithms
Determining the similarity between two sequences is a common task in computational biology.
- View and Align Multiple Sequences
Use the Sequence Alignment app to visually inspect a multiple alignment and make manual adjustments.
- Get Information from Web Database
Example of creating a get function
- Exchange Bioinformatics Data Between Excel and MATLAB
Example of using Spreadsheet Link™ with software to view bioinformatic data