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.

PMID: 31228198
PMCID: PMC6853685
Funding: - BMBF: 01GM1517A

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