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Genomics data can also include DNA and transcriptome sequencing data for the human genome.
BioAge has been using machine learning and crunching genomics data to search for biomarkers that predict mortality.
MR. MEHTA is an investor in Millennium and Human Genome Sciences but also looks for companies that can use genomics data most directly in drug discovery.
The first group is the technology providers that supply tools like the so-called gene chips used in analyzing genomics data, along with DNA sequencers and bioinformatics software.
PetaGene, the Cambridge, U.K.-based genomics data compression startup, has raised $2.1 million in further funding.
Additionally, SEQRS data can be integrated with functional genomics data to uncover biological function.
Pathway analysis of genomics data represents one promising direction for computational inference of drug targets.
Analysis of a large-scale genomics data set requires a strategic plan with built-in flexibility.
Genetic epidemiologist Cecile Janssens pointed to the limited quality control for research data and interpretation of genomics data (Janssens 2014).
Similar to the RKD, we have developed a platform to display user-selected functional genomics data on a phylogenetic tree.
Similarly, genomics data can be explored by geWorkbench[28], StratomeX[29], GENE-E[30], Qcanvas[31] or Gitools[32].
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