Mapping-based genome size estimation
Pucker B (2019)
bioRxiv.
Preprint
| Veröffentlicht | Englisch
Download
Pucker_2019.pdf
1.80 MB
Autor*in
Einrichtung
Abstract / Bemerkung
While the size of chromosomes can be measured under a microscope, the size of genomes cannot be measured precisely. Biochemical methods and k-mer distribution-based approaches allow only estimations. An alternative approach to predict the genome size based on high contiguity assemblies and short read mappings is presented here and optimized on Arabidopsis thaliana and Beta vulgaris. Brachypodium distachyon, Solanum lycopersicum, Vitis vinifera, and Zea mays were also analyzed to demonstrate the broad applicability of this approach. Mapping-based Genome Size Estimation (MGSE) and additional scripts are available on github: https://github.com/bpucker/MGSE.
Erscheinungsjahr
2019
Zeitschriftentitel
bioRxiv
Urheberrecht / Lizenzen
Page URI
https://pub.uni-bielefeld.de/record/2934975
Zitieren
Pucker B. Mapping-based genome size estimation. bioRxiv. 2019.
Pucker, B. (2019). Mapping-based genome size estimation. bioRxiv
Pucker, Boas. 2019. “Mapping-based genome size estimation”. bioRxiv.
Pucker, B. (2019). Mapping-based genome size estimation. bioRxiv.
Pucker, B., 2019. Mapping-based genome size estimation. bioRxiv.
B. Pucker, “Mapping-based genome size estimation”, bioRxiv, 2019.
Pucker, B.: Mapping-based genome size estimation. bioRxiv. (2019).
Pucker, Boas. “Mapping-based genome size estimation”. bioRxiv (2019).
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Creative Commons Namensnennung 4.0 International Public License (CC-BY 4.0):
Volltext(e)
Name
Pucker_2019.pdf
1.80 MB
Access Level
Open Access
Zuletzt Hochgeladen
2019-09-06T09:19:06Z
MD5 Prüfsumme
daeb8ef4cf0fc02d78394058c3a31b21
Link(s) zu Volltext(en)
Access Level
Open Access
Export
Markieren/ Markierung löschen
Markierte Publikationen
Quellen
Preprint: 10.1101/607390
Suchen in