Advances in statistical bioinformatics : models and integrative inference for high-throughput data / / edited by Kim-Anh Do, Zhaohui Steve Qin, Marina Vannucci.
"Chapter 1 An introduction to next-generation biological platforms Virginia Mohlere, Wenting Wang, and Ganiraju Manyam The University of Texas. MD Anderson Cancer Center 1.1 Introduction When Sanger and Coulson first described a reliable, efficient method for DNA sequencing in 1975 (Sanger and...
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Year of Publication: | 2013 |
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Physical Description: | xv, 481 p. :; ill. |
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Advances in statistical bioinformatics [electronic resource] : models and integrative inference for high-throughput data / edited by Kim-Anh Do, Zhaohui Steve Qin, Marina Vannucci. Cambridge ; New York : Cambridge University Press, 2013. xv, 481 p. : ill. Includes bibliographical references and index. "Chapter 1 An introduction to next-generation biological platforms Virginia Mohlere, Wenting Wang, and Ganiraju Manyam The University of Texas. MD Anderson Cancer Center 1.1 Introduction 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"-- Provided by publisher. Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. Bioinformatics Statistical methods. Biometry. Genetics Technique. Electronic books. Do, Kim-Anh, 1960- Qin, Steven, 1972- Vannucci, Marina, 1966- ProQuest (Firm) https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1357350 Click to View |
language |
English |
format |
Electronic eBook |
author2 |
Do, Kim-Anh, 1960- Qin, Steven, 1972- Vannucci, Marina, 1966- ProQuest (Firm) |
author_facet |
Do, Kim-Anh, 1960- Qin, Steven, 1972- Vannucci, Marina, 1966- ProQuest (Firm) ProQuest (Firm) |
author2_variant |
k a d kad s q sq m v mv |
author2_role |
TeilnehmendeR TeilnehmendeR TeilnehmendeR TeilnehmendeR |
author_corporate |
ProQuest (Firm) |
author_sort |
Do, Kim-Anh, 1960- |
title |
Advances in statistical bioinformatics models and integrative inference for high-throughput data / |
spellingShingle |
Advances in statistical bioinformatics models and integrative inference for high-throughput data / |
title_sub |
models and integrative inference for high-throughput data / |
title_full |
Advances in statistical bioinformatics [electronic resource] : models and integrative inference for high-throughput data / edited by Kim-Anh Do, Zhaohui Steve Qin, Marina Vannucci. |
title_fullStr |
Advances in statistical bioinformatics [electronic resource] : models and integrative inference for high-throughput data / edited by Kim-Anh Do, Zhaohui Steve Qin, Marina Vannucci. |
title_full_unstemmed |
Advances in statistical bioinformatics [electronic resource] : models and integrative inference for high-throughput data / edited by Kim-Anh Do, Zhaohui Steve Qin, Marina Vannucci. |
title_auth |
Advances in statistical bioinformatics models and integrative inference for high-throughput data / |
title_new |
Advances in statistical bioinformatics |
title_sort |
advances in statistical bioinformatics models and integrative inference for high-throughput data / |
publisher |
Cambridge University Press, |
publishDate |
2013 |
physical |
xv, 481 p. : ill. |
isbn |
9781107248588 (electronic bk.) |
callnumber-first |
Q - Science |
callnumber-subject |
QH - Natural History and Biology |
callnumber-label |
QH324 |
callnumber-sort |
QH 3324.2 A395 42013 |
genre |
Electronic books. |
genre_facet |
Electronic books. |
url |
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=1357350 |
illustrated |
Illustrated |
dewey-hundreds |
500 - Science |
dewey-tens |
570 - Life sciences; biology |
dewey-ones |
572 - Biochemistry |
dewey-full |
572.80285 |
dewey-sort |
3572.80285 |
dewey-raw |
572.80285 |
dewey-search |
572.80285 |
oclc_num |
857638186 |
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