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ContFree-NGS: Removing Reads from Contaminating Organisms in Next Generation Sequencing Data

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Author(s):
Peres, Felipe Vaz ; Riano-Pachon, Diego Mauricio ; Stadler, PF ; Walter, MEMT ; Hernandez-Rosales, M ; Brigido, MM
Total Authors: 6
Document type: Journal article
Source: ADVANCES IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, BSB 2021; v. 13063, p. 4-pg., 2021-01-01.
Abstract

We present ContFree-NGS, an open source software that removes reads originating from contaminant organisms in your sequencing dataset. The user has to provide a target taxon, and anything that does not belong to this taxon or its descendants will be labelled as contaminant. In order to achieve this, ContFreeNGS exploits results from a taxonomy assignment engine, like Kraken2 or Kaiju. (AU)

FAPESP's process: 19/24796-5 - Inference and annotation of the sugarcane pantranscriptome
Grantee:Felipe Vaz Peres
Support Opportunities: Scholarships in Brazil - Scientific Initiation