Barley chromosome 7H sequencing data

Chengdao Li; Peter Langridge; Gaofeng Zhou; Cong Tan; Qisen Zhang; Xiao-Qi Zhang; Penghao Wang; Western Crop Genetics Alliance

doi:10.60867/00000014

Dataset

Barley chromosome 7H sequencing data

Chengdao Li, Peter Langridge, Gaofeng Zhou, Cong Tan, Qisen Zhang, Xiao-Qi Zhang, Penghao Wang and Western Crop Genetics Alliance

Murdoch University

01/12/2013–30/06/2016

DOI:

https://doi.org/10.60867/00000014

Files and links (2)

csv

DAW0223_sequences850.00 byte

Direct links to the sequencesCC BY V4.0, Restricted Access

url

To request access to this data, please click 'View' and fill out the form →View

Abstract

Cereal (Grains)

Breeding

Barley

Genetics

Sequencing

Crop and pasture improvement (incl. selection and breeding)

This collection contains raw reads and filtered results of the Barley chromosome 7H sequences. The data includes sequences of 8,521 clones with an average length of 122,000 base pairs covering chromosome 7H. A gold standard chromosome sequence was assembled with a total length of 664 million base pairs. The gold standard barley genome sequences enable breeders to significantly reduce the time taken to develop new high-performance barley varieties tailored to local environments.

Details

Title: Barley chromosome 7H sequencing data
Authors/Creators: Chengdao Li (Principal Investigator) - Murdoch University, Centre for Crop and Food Innovation
Peter Langridge (Contributor) - The University of Adelaide
Gaofeng Zhou (Contributor)
Cong Tan (Contributor) - Murdoch University
Qisen Zhang (Contributor) - Australian Export Grains Innovation Centre
Xiao-Qi Zhang (Contributor) - Murdoch University, Centre for Crop and Food Innovation
Penghao Wang (Data Manager) - Murdoch University, Centre for Crop and Food Innovation
Western Crop Genetics Alliance (Data Manager)
Publisher: Murdoch University
Grants: Sequencing the Barley Chromosome 7H, DAW00233, Grains Research and Development Corporation (Australia, Canberra) - GRDC
Identifiers: 991005579268307891
Murdoch Affiliation: Centre for Crop and Food Innovation
Language: English
Resource Type: Dataset

Metrics

89 Record Views