Yanagi: Fast and interpretable segment-based alternative splicing and gene expression analysis
| dc.contributor.author | Gunady, Mohamed K | |
| dc.contributor.author | Mount, Stephen M | |
| dc.contributor.author | Bravo, Héctor Corrada | |
| dc.date.accessioned | 2021-06-07T16:04:00Z | |
| dc.date.available | 2021-06-07T16:04:00Z | |
| dc.date.issued | 2019-08-13 | |
| dc.description.abstract | Ultra-fast pseudo-alignment approaches are the tool of choice in transcript-level RNA sequencing (RNA-seq) analyses. Unfortunately, these methods couple the tasks of pseudo-alignment and transcript quantification. This coupling precludes the direct usage of pseudo-alignment to other expression analyses, including alternative splicing or differential gene expression analysis, without including a non-essential transcript quantification step. | en_US |
| dc.description.uri | https://doi.org/10.1186/s12859-019-2947-6 | |
| dc.identifier | https://doi.org/10.13016/kpug-smuf | |
| dc.identifier.citation | Gunady, M.K., Mount, S.M. & Corrada Bravo, H. Yanagi: Fast and interpretable segment-based alternative splicing and gene expression analysis. BMC Bioinformatics 20, 421 (2019). | en_US |
| dc.identifier.uri | http://hdl.handle.net/1903/27120 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Springer Nature | en_US |
| dc.relation.isAvailableAt | College of Computer, Mathematical & Natural Sciences | en_us |
| dc.relation.isAvailableAt | Computer Science | en_us |
| dc.relation.isAvailableAt | Digital Repository at the University of Maryland | en_us |
| dc.relation.isAvailableAt | University of Maryland (College Park, MD) | en_us |
| dc.subject | Transcriptome quantification | en_US |
| dc.subject | Differential gene expression | en_US |
| dc.subject | Alternative splicing | en_US |
| dc.subject | RNA-seq | en_US |
| dc.subject | Pseudo-alignment | en_US |
| dc.title | Yanagi: Fast and interpretable segment-based alternative splicing and gene expression analysis | en_US |
| dc.type | Article | en_US |