SNIC
SUPR
SNIC SUPR
miRControl
Dnr:

SNIC 2017/7-297

Type:

SNAC Small

Principal Investigator:

Wenjing Kang

Affiliation:

Stockholms universitet

Start Date:

2018-01-15

End Date:

2019-10-01

Primary Classification:

10203: Bioinformatics (Computational Biology) (applications to be 10610)

Allocation

Abstract

Before NGS data can be analyzed, they must go through quality control (QC) to ensure that they fulfill standards. There are numerous QC tools for RNA-seq data, but currently no dedicated QC tools for small RNA sequencing (sRNA-seq data). We are developing such tools, that will specifically address sequencing quality, depth and complexity, and which will also identify the presence of unwanted sequencing stemming from tRNAs, rRNAs and cross-species contaminations. The tools will be implemented in Java for speed and portability, and the output will be an interactive webpage of the QC results.