Accurate assembly of the olive baboon (Papio anubis) genome using long-read and Hi-C data. Issue 12 (7th December 2020)
- Record Type:
- Journal Article
- Title:
- Accurate assembly of the olive baboon (Papio anubis) genome using long-read and Hi-C data. Issue 12 (7th December 2020)
- Main Title:
- Accurate assembly of the olive baboon (Papio anubis) genome using long-read and Hi-C data
- Authors:
- Batra, Sanjit Singh
Levy-Sakin, Michal
Robinson, Jacqueline
Guillory, Joseph
Durinck, Steffen
Vilgalys, Tauras P
Kwok, Pui-Yan
Cox, Laura A
Seshagiri, Somasekar
Song, Yun S
Wall, Jeffrey D - Abstract:
- Abstract: Background: Baboons are a widely used nonhuman primate model for biomedical, evolutionary, and basic genetics research. Despite this importance, the genomic resources for baboons are limited. In particular, the current baboon reference genome Panu_3.0 is a highly fragmented, reference-guided (i.e., not fully de novo ) assembly, and its poor quality inhibits our ability to conduct downstream genomic analyses. Findings: Here we present a de novo genome assembly of the olive baboon ( Papio anubis ) that uses data from several recently developed single-molecule technologies. Our assembly, Panubis1.0, has an N50 contig size of ∼1.46 Mb (as opposed to 139 kb for Panu_3.0) and has single scaffolds that span each of the 20 autosomes and the X chromosome. Conclusions: We highlight multiple lines of evidence (including Bionano Genomics data, pedigree linkage information, and linkage disequilibrium data) suggesting that there are several large assembly errors in Panu_3.0, which have been corrected in Panubis1.0.
- Is Part Of:
- GigaScience. Volume 9:Issue 12(2020)
- Journal:
- GigaScience
- Issue:
- Volume 9:Issue 12(2020)
- Issue Display:
- Volume 9, Issue 12 (2020)
- Year:
- 2020
- Volume:
- 9
- Issue:
- 12
- Issue Sort Value:
- 2020-0009-0012-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-12-07
- Subjects:
- Information storage and retrieval systems -- Research -- Periodicals
Biology -- Research -- Periodicals
Medical sciences -- Research -- Periodicals
Database management -- Periodicals
570.285 - Journal URLs:
- http://www.gigasciencejournal.com/ ↗
http://www.oxfordjournals.org/ ↗ - DOI:
- 10.1093/gigascience/giaa134 ↗
- Languages:
- English
- ISSNs:
- 2047-217X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15237.xml