↓ Skip to main content

Low-pass shotgun sequencing of the barley genome facilitates rapid identification of genes, conserved non-coding sequences and novel repeats

Overview of attention for article published in BMC Genomics, October 2008
Altmetric Badge

Citations

dimensions_citation
76 Dimensions

Readers on

mendeley
114 Mendeley
citeulike
11 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Low-pass shotgun sequencing of the barley genome facilitates rapid identification of genes, conserved non-coding sequences and novel repeats
Published in
BMC Genomics, October 2008
DOI 10.1186/1471-2164-9-518
Pubmed ID
Authors

Thomas Wicker, Apurva Narechania, Francois Sabot, Joshua Stein, Giang TH Vu, Andreas Graner, Doreen Ware, Nils Stein

Abstract

Barley has one of the largest and most complex genomes of all economically important food crops. The rise of new short read sequencing technologies such as Illumina/Solexa permits such large genomes to be effectively sampled at relatively low cost. Based on the corresponding sequence reads a Mathematically Defined Repeat (MDR) index can be generated to map repetitive regions in genomic sequences.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
Brazil 4 4%
Italy 2 2%
Russia 2 2%
Netherlands 2 2%
Australia 2 2%
Czechia 2 2%
Argentina 2 2%
France 1 <1%
Other 3 3%
Unknown 88 77%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 41%
Student > Ph. D. Student 23 20%
Student > Master 8 7%
Other 5 4%
Student > Doctoral Student 5 4%
Other 20 18%
Unknown 6 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 71%
Biochemistry, Genetics and Molecular Biology 14 12%
Computer Science 6 5%
Arts and Humanities 1 <1%
Immunology and Microbiology 1 <1%
Other 3 3%
Unknown 8 7%