Predictors of assembly quality
Wick, RR
and Holt, KE
(2022).
Predictors of assembly quality.
[Dataset].
PLOS Computational Biology.
https://doi.org/10.1371/journal.pcbi.1009802.s018
and Holt, KE
(2022).
Predictors of assembly quality.
[Dataset].
PLOS Computational Biology.
https://doi.org/10.1371/journal.pcbi.1009802.s018
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 |
| Date Deposited | 07 Mar 2022 11:47 |
| Last Modified | 14 Oct 2025 14:28 |
| Publisher | PLOS Computational Biology |
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