Name
Title | ||
|---|---|---|
Score: Smart Consensus Of Rna Expression-A Consensus Tool For Detecting Differentially Expressed Genes In Bacteria |
Abstract | ||
|---|---|---|
RNA-sequencing (RNA-Seq) is the current method of choice for studying bacterial transcriptomes. To date, many computational pipelines have been developed to predict differentially expressed genes from RNA-Seq data, but no gold-standard has been widely accepted. We present the Snakemake-based tool Smart Consensus Of RNA Expression (SCORE) which uses a consensus approach founded on a selection of well-established tools for differential gene expression analysis. This allows SCORE to increase the overall prediction accuracy and to merge varying results into a single, human-readable output. SCORE performs all steps for the analysis of bacterial RNA-Seq data, from read preprocessing to the overrepresentation analysis of significantly associated ontologies. Development of consensus approaches like SCORE will help to streamline future RNA-Seq workflows and will fundamentally contribute to the creation of new gold-standards for the analysis of these types of data. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1093/bioinformatics/btaa681 | BIOINFORMATICS |
DocType | Volume | Issue |
Journal | 37 | 3 |
ISSN | Citations | PageRank |
1367-4803 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Silver A Wolf | 1 | 0 | 0.34 |
| Lennard Epping | 2 | 0 | 0.34 |
| Sandro Andreotti | 3 | 9 | 1.93 |
| Knut Reinert | 4 | 1020 | 105.87 |
| Torsten Semmler | 5 | 0 | 0.34 |