Intuitive bioinformatics - Develops sequence analysis and structure visualization software

Supplier of bioinformatics software for gene and protein sequence analysis, high-throughput screening systems and databases for managing bioassay information. Formerly Oxford Molecular, Genetics Computer Group (GCG), Molecular Simulations Inc. (MSI), and Synopsys Scientific Systems.

LIMS and collaborative software for molecular biology labs.

Provides online, as well as on-site, tools for protein sequence analysis and structure prediction. Focused on the relationship between the amino acid sequence of proteins and their function.

Software for biological pathways visualization and analysis, functional interpretation of genetic information.

Develops tools for microarray data analysis and text mining from scientific texts.

Provides expert level, human-curated databases for drug discovery and life science researchers for gene expression, regulation and transcription pathway discovery.

Biological databases, bioinformatics tools, and consulting in gene regulatory processes such as transcriptional control and signal transduction.

Provides easy to install bioinformatics software, including the EMBOSS and the Jemboss packages, for nucleotide and protein analysis.

Molecular database technologies. To-Oracle database conversions. Data-mining and eCommerce development for genomics and proteomics.

Offers microarray bioinformatics software and services.

Consulting firm specializing in applying computational biology to build solutions to biological and data analysis problems.

Professional algorithmic and software solutions for the bioinformatics industry: PROSPECT for protein structure prediction, PatternHunter for identifying all approximate repeats in a complete genome, and COPIA for discovering motifs in a family of protein sequences.

Offers annotated genome database, and DNA and protein sequence analysis tools.

Biomics develops pattern analysis software in order to discover interesting patterns in complex data. The specific focus is on genomic and proteomic biological data.