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

Autor(es)

Peres, Felipe Vaz ; Riano-Pachon, Diego Mauricio ; Stadler, PF ; Walter, MEMT ; Hernandez-Rosales, M ; Brigido, MM

• Tipo de documento: Artigo Científico
• Fonte: ADVANCES IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, BSB 2021; v. 13063, p. 4-pg., 2021-01-01.

Resumo

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)

• Processo FAPESP: 19/24796-5 - Inferência e anotação funcional do pan-transcriptoma da cana-de-açúcar
• Beneficiário: Felipe Vaz Peres
• Modalidade de apoio: Bolsas no Brasil - Iniciação Científica