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Massive genomic data processing and deep analysis

  • Abhishek Roy
  • , Yanlei Diao
  • , Evan Mauceli
  • , Yiping Shen
  • , Bai Lin Wu
  • University of Massachusetts
  • Boston Children's Hospital and Harvard Medical School

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

8 Citations (Scopus)

Résumé

Today large sequencing centers are producing genomic data at the rate of 10 terabytes a day and require complicated processing to transform massive amounts of noisy raw data into biological information. To address these needs, we develop a system for end-to-end processing of genomic data, including alignment of short read sequences, variation discovery, and deep analysis. We also employ a range of quality control mechanisms to improve data quality and parallel processing techniques for performance. In the demo, we will use real genomic data to show details of data transformation through the workflow, the usefulness of end results (ready for use as testable hypotheses), the effects of our quality control mechanisms and improved algorithms, and finally performance improvement.

langue originaleAnglais
Pages (de - à)1906-1909
Nombre de pages4
journalProceedings of the VLDB Endowment
Volume5
Numéro de publication12
Les DOIs
étatPublié - 1 janv. 2012
Modification externeOui

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