Genomatix

Genomatix GmbH is a computational biology company headquartered in Munich, Germany, with a seat of business in Ann Arbor, Michigan, U.S.A.

Genomatix GmbH
GmbH
IndustryBioinformatics
Founded1997
FounderDr. Thomas Werner
HeadquartersMunich, Germany
Websitehttp://www.genomatix.de

History

Genomatix was founded in 1997 by Dr. Thomas Werner as a spin-off from the Helmholtz Zentrum München (formerly "GSF - National German Research Institute for Environment and Health"). Helmholtz Zentrum Munich is part of the Helmholtz Association of German Research Centres. Genomatix pioneered the analysis and understanding of eukaryotic gene regulation.

Genomatix software tools

Genomatix offers integrated solutions and databases for genome annotation and regulation analysis.

Genomatix product portfolio contains solutions for:

• Literature and pathway mining
• Transcription factor analysis
• Genome annotation integrating a wide variety of transcript sources and a special focus on regulatory regions
• Analysis technology for high throughput genomic technologies (microarrays and next generation sequencing)

Literature mining
LitInspector is a literature search tool providing gene and signal transduction pathway mining within NCBI's PubMed database.[1][2]

Pathway mining
GePS
BiblioSphere

Current research

Personalized medicine developed to a major field for Genomatix.[3] Genomatix is involved in several projects and international conferences e.g. 5th Santorini Conference - "Functional Genomics towards personalized health care" [4]

Since 2008 Genomatix has strongly focused on Next Generation Sequencing data analysis. Because of the large amount of data and the need for high-end computing power, Genomatix deploys its solutions as in-house installations (hardware software bundle)

Two systems are available:

1. The Genomatix Mining Station (GMS) is based on a proprietary genomic pattern recognition paradigm, or GenomeThesaurus, which allows for input of raw sequence reads plus optional quality files from any deep sequencing hardware. It provides ultra fast mapping of sequences of any length (starting from 8bp) with no practical limits on the number of point mutations and/or insertions and deletions that can be taken into account during the mapping process. Depending on the nature of the experiment, the GMS can provide SNP detection and genotyping, copy number analysis, and small RNA analysis. For ChIPseq data, the GMS delivers clustering and peak finding, and performs automated binding pattern identification. For RNAseq experiments, normalized expression values are calculated at the exon and transcript level. A special GenomeThesaurus is also provided for potential splice junctions, which allows for splice junction analysis and identification of new transcriptional units.

For genomic re-sequencing and newly sequenced genomes, a de-novo assembly will be provided.

2. The Genomatix Genome Analyzer (GGA) delivers downstream software tools and databases for the deep biological analysis of data coming from the GMS. It allows for easy integration and visualization in the terabytes of background annotation of the ElDorado genome database. GGA extensively annotates genomic coordinates and surrounding areas derived by the GMS or any other mapping procedure. Clustering and peak finding, analysis for phylogenetic conservation, large scale correlation analysis with annotated genomic elements, meta-analysis of data correlation between different experiments, pathway mining for groups of identified genes, transcription factor binding site (TFBS) analysis ( identification, over-representation, binding partner analysis, framework identification, phylogenetic conservation, regulatory SNP effects) and much more are all processes carried out on the GGA.

With the GGA and GMS Genomatix delivers the worldwide first integrative data analysis platform for Next Generation Sequencing analysis with custom workflows tailored towards specific needs.

Further developments will be the link-up of data from clinical sources and medical applications. Pilot projects were already started within Genomatix’ consulting platform linking genotype and phenotype information.

gollark: ```Our language includes several convenient features, perfect for any aspiring Presidential candidate including: No floating point numbers, only integers. America never does anything halfway. All numbers must be strictly greater than 1 million. The small stuff is inconsequential to us. There are no import statements allowed. All code has to be home-grown and American made. Instead of True and False, we have the keywords fact and lie. Only the most popular English words, Trump's favorite words, and current politician names can be used as variable names. Error messages are mostly quotes directly taken from Trump himself. All programs must end with America is great. Our language will automatically correct Forbes' $4.5B to $10B. In its raw form, TrumpScript is not compatible with Windows, because Trump isn't the type of guy to believe in PC.```
gollark: https://github.com/samshadwell/TrumpScript
gollark: TrumpScript.
gollark: The new subclass of the generic superclass might contain turing-completeness!
gollark: HQ9***++*** is.

References
  1. Frisch, M; Klocke, B; Haltmeier, M; Frech, K (2009). "LitInspector: literature and signal transduction pathway mining in PubMed abstracts". Nucleic Acids Res. 37: W135-40. doi:10.1093/nar/gkp303. PMC 2703902. PMID 19417065.
  2. LitInspector start page.
  3. Archived 2010-07-25 at the Wayback Machine Genomatix and personalized medicine.
  4. Conference about personalized health care.
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