MARC record from Internet Archive

LEADER: 02972cam 2200421 i 4500
001 9924439810001661
005 20150423151153.0
008 140106s2013 nyuaf b 001 0 eng
010 $a2012049273
019 $a843862024
020 $a9781107027527 (hardback)
020 $a1107027527 (hardback)
024 8 $a40022508806
035 $a(OCoLC)824608947
035 $a(OCoLC)ocn824608947
040 $aDLC$erda$beng$cDLC$dYDX$dOCLCO$dYDXCP$dYUS$dBTCTA
042 $apcc
049 $aCNUM
050 00 $aQH324.2$b.A395 2013
082 00 $a572.80285$223
084 $aMED090000$2bisacsh
245 00 $aAdvances in statistical bioinformatics :$bmodels and integrative inference for high-throughput data /$cedited by Kim-Anh Do, The University of Texas M.D. Anderson Cancer Center, Zhaohui Steven Qin, Emory University, Atlanta, GA, Marina Vannucci, Rice University, Houston, TX.
264 1 $aNew York :$bCambridge University Press,$c2013.
300 $axv, 481 pages, 16 unnumbered pages of plates :$billustrations (some color) ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
504 $aIncludes bibliographical references and index.
520 $a"When Sanger and Coulson first described a reliable, efficient method for DNA sequencing in 1975 (Sanger and Coulson, 1975), they made possible the full sequencing of both genes and entire genomes. Although the method was resource-intensive, many institutions invested in the necessary equipment, and Sanger sequencing remained the standard for the next 30 years. Refinement of the process increased read lengths from around 25 to 2 Mohlere, Wang, and Manyam almost 750 base pairs (Schadt et al., 2010, fig. 1). While this greatly increased efficiency and reliability, the Sanger method still required not only large equipment but significant human investment, as the process requires the work of several people. This prompted researchers and companies such as Applied Biosystems to seek improved sequencing techniques and instruments. Starting in the late 2000s, new instruments came on the market that, although they actually decreased read length, lessened run time and could be operated more easily with fewer human resources (Schadt et al., 2010). Despite discoveries that have illuminated new therapeutic targets, clarified the role of specific mutations in clinical response, and yielded new methods for diagnosis and predicting prognosis (Chin et al., 2011), the initial promise of genomic data has largely remained so far unfulfilled. The difficulties are numerous"--$cProvided by publisher.
650 0 $aBioinformatics$xStatistical methods.
650 0 $aBiometry.
650 0 $aGenetics$xTechnique.
700 1 $aDo, Kim-Anh,$d1960-
700 1 $aQin, Steven,$d1972-
700 1 $aVannucci, Marina,$d1966-
947 $fSCIENCE$hBOOK$p$103.20$q1
949 $aQH324.2 .A395 2013$i31786102954101
994 $a92$bCNU