Name
Title | ||
|---|---|---|
Group-based variant calling leveraging next-generation supercomputing for large-scale whole-genome sequencing studies |
Abstract | ||
|---|---|---|
Next-generation sequencing (NGS) technologies have become much more efficient, allowing whole human genomes to be sequenced faster and cheaper than ever before. However, processing the raw sequence reads associated with NGS technologies requires care and sophistication in order to draw compelling inferences about phenotypic consequences of variation in human genomes. It has been shown that different approaches to variant calling from NGS data can lead to different conclusions. Ensuring appropriate accuracy and quality in variant calling can come at a computational cost. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1186/s12859-015-0736-4 | BMC Bioinformatics |
Keywords | Field | DocType |
Variant calling, Supercomputing, Whole-genome sequencing | Biology,Supercomputer,Genomics,Whole genome sequencing,Genome human,Human genome,Bioinformatics,Genetics,Workflow,Big data,Computing systems | Journal |
Volume | Issue | ISSN |
16 | 1 | 1471-2105 |
Citations | PageRank | References |
1 | 0.37 | 4 |
Authors | ||
14 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kristopher Standish | 1 | 1 | 0.37 |
| Tristan M. Carland | 2 | 1 | 0.37 |
| Glenn K. Lockwood | 3 | 3 | 1.22 |
| Wayne Pfeiffer | 4 | 37 | 5.92 |
| Mahidhar Tatineni | 5 | 99 | 15.32 |
| C. Huang | 6 | 1 | 0.37 |
| Sarah Lamberth | 7 | 1 | 0.37 |
| Yauheniya Cherkas | 8 | 1 | 0.37 |
| Carrie Brodmerkel | 9 | 1 | 0.37 |
| Ed Jaeger | 10 | 1 | 0.37 |
| Lance Smith | 11 | 1 | 0.37 |
| Gunaretnam Rajagopal | 12 | 34 | 1.99 |
| Mark Curran | 13 | 1 | 0.37 |
| Nicholas J Schork | 14 | 39 | 7.06 |