CamurWeb: a classification software and a large knowledge base for gene expression data of cancer

被引：0
作者：
Emanuel Weitschek
Silvia Di Lauro
Eleonora Cappelli
Paola Bertolazzi
Giovanni Felici
机构：
[1] Department of Engineering,
[2] Uninettuno International University,undefined
[3] Institute of Systems Analysis and Computer Science “A. Ruberti”,undefined
[4] National Research Council,undefined
[5] Department of Engineering,undefined
[6] Roma Tre University,undefined
[7] SYSBIO.IT Center for Systems Biology,undefined
[8] Milano Bicocca University,undefined
来源：
BMC Bioinformatics | / 19卷
关键词：
Classification; Knowledge extraction; Big data; Cancer;
D O I：
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摘要：
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  • [1] Shendure J(2008)Next-generation DNA sequencing Nat Biotechnol 26 1135-45
  • [2] Ji H(2011)Next-generation sequencing for cancer diagnostics: a practical perspective Clin Biochem Rev 32 177-95
  • [3] Meldrum C(2013)The next-generation sequencing revolution and its impact on genomics Cell 155 27-38
  • [4] Doyle MA(2014)Next generation sequencing reads comparison with an alignment-free distance BMC Res Notes 7 869-5
  • [5] Tothill RW(2014)Technology: the $1000 genome Nature 507 294-98
  • [6] Koboldt DC(2014)Illumina claims $1000 genome win Nat Biotechnol 32 115-72
  • [7] Steinberg KM(2017)Tcga2bed: extracting, extending, integrating, and querying the cancer genome atlas BMC Bioinformatics 18 6-20
  • [8] Larson DE(2011)Rna sequencing: advances, challenges and opportunities Nat Rev Genet 12 87-459
  • [9] Wilson RK(2010)Understanding mechanisms underlying human gene expression variation with rna sequencing Nature 464 768-93
  • [10] Mardis ER(2017)A comprehensive infrastructure for big data in cancer research: Accelerating cancer research and precision medicine Frontiers Cell Dev Biol 5 83-1
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