Bioinformatics Toolbox
Description
- Introduction and Key Features
- Next Generation Sequencing Analysis
- Microarray Data Analysis and Visualization
- Mass Spectrometry Data Analysis
- Graph Theory, Statistical Learning, and Gene Ontology
- Sequence Analysis
- Data Import and Application Deployment
Data Import and Application Deployment
File Formats and Database Access
You can access standard file formats for biological data, online databases, and Web sites. Bioinformatics toolbox enables you to:
- Read sequence data from standard file formats, including FASTA, PDB, and SCF
- Read microarray data from file formats such as Affymetrix DAT, EXP, CEL, CHP, and CDF files; ImaGene® results format data; Agilent® Feature Extraction Software files; and GenePix® GPR and GAL files
- Read data from online databases such as GenBank, EMBL, NCBI BLAST, and PDB
- Import data directly from the NCBI Gene Expression Omnibus Web site with a single command
- Read cytogenetic banding information from NCBI ideograms or UCSC cytoband text files
- Read mass spectrometry data from MZXML and JCAMP-DX files
Sharing Algorithms and Deploying Applications
MATLAB provides tools that let you turn your data analysis program into a customized software application. These include tools for building graphical interfaces, a visual integrated development environment, and a profiler. MATLAB application deployment products let you integrate your MATLAB algorithms with existing C, C++, and Java™ applications, deploy the developed algorithms and custom interfaces as standalone applications, convert MATLAB algorithms into Microsoft® .NET or COM components that can be accessed from any COM-based application, and create Microsoft Excel® add-ins.
You can integrate MATLAB with commonly used bioinformatics tools such as BioPerl, SOAP-based Web services, and COM plug-ins.
