000 03438nam a22005535i 4500
001 978-0-387-69745-1
003 DE-He213
005 20140220084454.0
007 cr nn 008mamaa
008 100907s2010 xxu| s |||| 0|eng d
020 _a9780387697451
_9978-0-387-69745-1
024 7 _a10.1007/978-0-387-69745-1
_2doi
050 4 _aRC261-271
072 7 _aMJCL
_2bicssc
072 7 _aMED062000
_2bisacsh
082 0 4 _a614.5999
_223
100 1 _aYegnasubramanian, Srinivasan.
_eeditor.
245 1 0 _aModern Molecular Biology
_h[electronic resource] :
_bApproaches for Unbiased Discovery in Cancer Research /
_cedited by Srinivasan Yegnasubramanian, William B. Isaacs.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2010.
300 _aXII, 192 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aApplied Bioinformatics and Biostatistics in Cancer Research
505 0 _aGenome-Scale Analysis of Data from High-Throughput Technologies -- Analysis of Inherited and Acquired Genetic Variation -- Examining DNA–Protein Interactions with Genome-Wide Chromatin Immunoprecipitation Analysis -- Genome-Wide DNA Methylation Analysis in Cancer Research -- Use of Expression Microarrays in Cancer Research -- Signal Sequencing for Gene Expression Profiling -- Mass Spectrometry Based Proteomics in Cancer Research -- Tissue Microarrays in Cancer Research.
520 _aA convergence of advancements in molecular biology, engineering, computer science, biostatistics and other disciplines has made possible the development of technologies facilitating the massively parallel investigation of the complex biological phenomena driving cancer initiation and progression. Such technologies include DNA microarrays, next generation sequencing, proteomics technologies, and tissue microarrays. In order to properly harness these technologies to imaginatively decipher these complex biological processes, scientists must have an understanding of the underlying technology, be able to adapt these technologies with molecular biology lab approaches, and then be poised to efficiently process and interpret the extremely high dimensional and complex data sets that are generated by these technologies. The primary purpose of this volume is to help bridge the gap between molecular biologists and cancer researchers and the bioinformatics and computational biology researchers by providing an overview of these technologies to those that are not yet familiar with them.
650 0 _aMedicine.
650 0 _aOncology.
650 0 _aHuman genetics.
650 0 _aMedical laboratories.
650 0 _aMicrobiology.
650 0 _aMedical virology.
650 1 4 _aBiomedicine.
650 2 4 _aCancer Research.
650 2 4 _aHuman Genetics.
650 2 4 _aLaboratory Medicine.
650 2 4 _aMedical Microbiology.
650 2 4 _aMolecular Medicine.
650 2 4 _aVirology.
700 1 _aIsaacs, William B.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387697444
830 0 _aApplied Bioinformatics and Biostatistics in Cancer Research
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-69745-1
912 _aZDB-2-SBL
999 _c109770
_d109770