Predictors of assembly quality

Wick, RR

(2022). Predictors of assembly quality. [Dataset]. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1009802.s018

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Predictors of assembly quality, as outlined in a PLOS Computational Biology submission "Polypolish: Short-read polishing of long-read bacterial genome assemblies". For each of the 100 simulated-read genomes, a Kendall-rank correlation test was conducted using all available assemblies between the assembly's known identity and 10 different potential predictors.

Keywords

Genomics; Sequence alignment; Bacterial genomics; Nucleotides; Multiple alignment calculation; Genome sequencing; Nanotechnology; Haemophilus

Item Type	Dataset
Resource Type	Resource Type Resource Description Dataset Quantitative
Capture method	Unknown
Date	24 January 2022
Language(s) of written materials	English
Creator(s)	Wick, RR and Holt, KE
LSHTM Faculty/Department	Faculty of Infectious and Tropical Diseases > Department of Infection Biology
Participating Institutions	London School of Hygiene & Tropical Medicine, London, United Kingdom
Funders	Project Funder Grant Number Funder URI UNSPECIFIED Bill and Melinda Gates Foundation OPP1175797 http://dx.doi.org/10.13039/100000865
Date Deposited	07 Mar 2022 11:47
Last Modified	22 May 2025 08:24
Publisher	PLOS Computational Biology