DEUS
DEUS analyzes raw sequencing reads to quantify expression levels of small RNAs without reference genome alignment, reducing ambiguous-mapping errors and accurately representing small RNA populations.
Key Features:
- Mapping-Free Expression Profiling: DEUS assesses expression directly from raw sequence data without the need for reference genome alignment.
- Differential Expression Analysis: Identifies sequences with significant expression changes across conditions using individual sequence counts.
- Annotation and Clustering: Annotates identified sequences against user-defined databases and clusters them by sequence similarity to link to known biological functions.
Scientific Applications:
- Gene Regulation Studies: Profiles small RNA regulation of gene expression under different conditions.
- Disease Research: Investigates small RNAs as candidate biomarkers or therapeutic targets in diseases such as cancer.
- Developmental Biology: Characterizes roles of small RNAs in developmental processes and organismal growth.
Methodology:
Sequence-based expression profiling from raw reads without genome alignment; counting individual sequences for differential expression; annotation against user-defined databases and clustering by sequence similarity.
Topics
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 6/23/2019
- Last Updated:
- 11/24/2024
Operations
Publications
Jeske T, Huypens P, Stirm L, Höckele S, Wurmser CM, Böhm A, Weigert C, Staiger H, Klein C, Beckers J, Hastreiter M. DEUS: an R package for accurate small RNA profiling based on differential expression of unique sequences. Bioinformatics. 2019;35(22):4834-4836. doi:10.1093/bioinformatics/btz495. PMID:31228198. PMCID:PMC6853685.
Documentation
Downloads
- Software packagehttp://ibis.helmholtz-muenchen.de/deus/DEUS-master.zip