Name
Abstract | ||
|---|---|---|
Standardized interfaces for efficiently accessing high-throughput sequencing data are a fundamental requirement for large-scale genomic data sharing. We have developed htsget, a protocol for secure, efficient and reliable access to sequencing read and variation data. We demonstrate four independent client and server implementations, and the results of a comprehensive interoperability demonstration. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1093/bioinformatics/bty492 | BIOINFORMATICS |
Field | DocType | Volume |
Data mining,World Wide Web,Text mining,Computer science | Journal | 35 |
Issue | ISSN | Citations |
1 | 1367-4803 | 1 |
PageRank | References | Authors |
0.63 | 6 | 16 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jerome Kelleher | 1 | 44 | 6.91 |
| Mike Lin | 2 | 1 | 0.63 |
| C H Albach | 3 | 1 | 0.63 |
| Ewan Birney | 4 | 2 | 1.00 |
| Robert Davies | 5 | 1 | 0.63 |
| Marina Gourtovaia | 6 | 8 | 1.80 |
| David Glazer | 7 | 1 | 0.63 |
| Cristina González | 8 | 1 | 0.96 |
| David K. Jackson | 9 | 25 | 13.52 |
| Aaron Kemp | 10 | 1 | 0.63 |
| John Marshall | 11 | 1 | 0.63 |
| Andrew Nowak | 12 | 1 | 0.63 |
| Alexander Senf | 13 | 60 | 8.39 |
| Jaime M Tovar-Corona | 14 | 1 | 0.63 |
| Alexander Vikhorev | 15 | 1 | 0.63 |
| Thomas M. Keane | 16 | 81 | 6.51 |