Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.14778/2367502.2367534 | PVLDB |
Keywords | Field | DocType |
performance improvement,genomic data,massive genomic data processing,real genomic data,parallel processing technique,deep analysis,end-to-end processing,data transformation,data quality,noisy raw data,biological information,quality control mechanism | Data mining,Data processing,Data quality,Terabyte,Computer science,Parallel processing,Raw data,Workflow,Database,Performance improvement | Journal |
Volume | Issue | ISSN |
5 | 12 | 2150-8097 |
Citations | PageRank | References |
3 | 0.45 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abhishek Roy | 1 | 451 | 32.21 |
| Yanlei Diao | 2 | 2234 | 108.95 |
| Evan Mauceli | 3 | 14 | 1.48 |
| Yiping Shen | 4 | 51 | 6.29 |
| Bai-Lin Wu | 5 | 3 | 0.45 |