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WGA-LP: a pipeline for whole genome assembly of contaminated reads
Author(s) -
N. Rossi,
Andrea Colautti,
Lucilla Iacumin,
Carla Piazza
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab719
Subject(s) - computer science , sequence assembly , pipeline (software) , scripting language , genome , visualization , process (computing) , quality (philosophy) , data mining , computational biology , programming language , biology , gene , genetics , transcriptome , philosophy , gene expression , epistemology
Whole genome assembly (WGA) of bacterial genomes with short reads is a quite common task as DNA sequencing has become cheaper with the advances of its technology. The process of assembling a genome has no absolute golden standard and it requires to perform a sequence of steps each of which can involve combinations of many different tools. However, the quality of the final assembly is always strongly related to the quality of the input data. With this in mind we built WGA-LP, a package that connects state-of-the-art programs for microbial analysis and novel scripts to check and improve the quality of both samples and resulting assemblies. WGA-LP, with its conservative decontamination approach, has shown to be capable of creating high quality assemblies even in the case of contaminated reads.

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