Integromics

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Integrating the different high-throughput data of omic experiments is sometimes referred to as Integromics.

High-throughput experiments generate data of thousands of genes at the time. Studying biological functions in the lab often requires to concentrate efforts on to one or several genes. Therefore, quickly retrieving all relevant omics information about your gene of interest is indispensable today. E.g.

  • where is your gene located on the genome (genomics)
  • which genes are the neighbours of my gene (genomics) (perhaps a structural variation at that position in the genome)
  • does my gene appear in an (hyper/hypo)methylated area of the genome (epigenome)
  • what is the expression level (transcriptomics)
  • Is it being alternatively spliced (transcriptomics)
  • where is my gene expressed (transcriptomics)
  • with which proteins does it interact (proteomics)
  • what mutations are known (genomics/proteomics)

But also:

  • are other genes having similar expression patterns (transcriptomics)
  • what are common genes in different species concerning a certain biological process


Hence, integromics is finding the information you requires in the pile of data of different experiments by extensive correlation. This is not trivial, but some of the tools below should help you on your quest.

Tools

  • DAVID - Input your gene list and retrieve a functional interpretation - free online
  • Babelomics - integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling - free online
  • GeneCards - a searchable, integrated, database of human genes that provides concise genomic, transcriptomic, genetic, proteomic, functional and disease related information on all known and predicted human genes
  • [1] - InCroMap, user-friendly tool to analyse expression data for enriched pathways, with visualisation of the pathways.

Curated resources

  • NetPath - curated resource of signal transduction pathways in humans


Miscellanea

- WolframAlpha Genomics & Molecular Biology section [2]