Integrating omics data / George Tseng, University of Pittsburgh, Debashis Ghosh, the Pennsylvania State University, Xianghong Jasmine, University of Southern California.
Tseng, George| Call Number | 572.8/6 |
| Author | Tseng, George, author. |
| Title | Integrating omics data / George Tseng, University of Pittsburgh, Debashis Ghosh, the Pennsylvania State University, Xianghong Jasmine, University of Southern California. |
| Physical Description | 1 online resource (x, 461 pages) : digital, PDF file(s). |
| Notes | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
| Summary | In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays. As the technologies have become mature and the price affordable, omics data are rapidly generated, and the problem of information integration and modeling of multi-lab and/or multi-omics data is becoming a growing one in the bioinformatics field. This book provides comprehensive coverage of these topics and will have a long-lasting impact on this evolving subject. Each chapter, written by a leader in the field, introduces state-of-the-art methods to handle information integration, experimental data, and database problems of omics data. |
| Subject | Genomics Statistical methods. Meta-analysis. |
| Multimedia |
Total Ratings:
0
02147nam a22003618i 4500
001
vtls001584393
003
VRT
005
20200921121800.0
006
m|||||o||d||||||||
007
cr||||||||||||
008
200921s2015||||enk o ||1 0|eng|d
020
$a 9781107706484 (ebook)
020
$z 9781107069114 (hardback)
020
$z 9781107697577 (paperback)
035
$a (UkCbUP)CR9781107706484
039
9
$y 202009211218 $z santha
040
$a UkCbUP $b eng $e rda $c UkCbUP
050
0
0
$a QH438.4.S73 $b T74 2015
082
0
0
$a 572.8/6 $2 23
100
1
$a Tseng, George, $e author.
245
1
0
$a Integrating omics data / $c George Tseng, University of Pittsburgh, Debashis Ghosh, the Pennsylvania State University, Xianghong Jasmine, University of Southern California.
264
1
$a Cambridge : $b Cambridge University Press, $c 2015.
300
$a 1 online resource (x, 461 pages) : $b digital, PDF file(s).
336
$a text $b txt $2 rdacontent
337
$a computer $b c $2 rdamedia
338
$a online resource $b cr $2 rdacarrier
500
$a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520
$a In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays. As the technologies have become mature and the price affordable, omics data are rapidly generated, and the problem of information integration and modeling of multi-lab and/or multi-omics data is becoming a growing one in the bioinformatics field. This book provides comprehensive coverage of these topics and will have a long-lasting impact on this evolving subject. Each chapter, written by a leader in the field, introduces state-of-the-art methods to handle information integration, experimental data, and database problems of omics data.
650
0
$a Genomics $x Statistical methods.
650
0
$a Meta-analysis.
776
0
8
$i Print version: $z 9781107069114
856
4
0
$u https://doi.org/10.1017/CBO9781107706484
999
$a VIRTUA
No Reviews to Display
| Summary | In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays. As the technologies have become mature and the price affordable, omics data are rapidly generated, and the problem of information integration and modeling of multi-lab and/or multi-omics data is becoming a growing one in the bioinformatics field. This book provides comprehensive coverage of these topics and will have a long-lasting impact on this evolving subject. Each chapter, written by a leader in the field, introduces state-of-the-art methods to handle information integration, experimental data, and database problems of omics data. |
| Notes | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
| Subject | Genomics Statistical methods. Meta-analysis. |
| Multimedia |