HTSeq—a Python framework to work with high-throughput sequencing data
HTSeq—a Python framework to work with high-throughput sequencing data is one of 9,000 studies in the ScholarPulse dataset. Key details — Authors: Simon Anders, Paul Theodor Pyl, Wolfgang Huber; Journal / source: Bioinformatics; Year: 2014.
| Authors | Simon Anders, Paul Theodor Pyl, Wolfgang Huber |
|---|---|
| Journal / source | Bioinformatics |
| Year | 2014 |
| Field | Genomics and Phylogenetic Studies |
| Times cited | 22651 |
| Type | article |
| DOI / link | https://doi.org/10.1093/bioinformatics/btu638 |