↓ Skip to main content

Germline and somatic variant identification using BGISEQ-500 and HiSeq X Ten whole genome sequencing

Overview of attention for article published in PLOS ONE, January 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
17 X users

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
72 Mendeley
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
Germline and somatic variant identification using BGISEQ-500 and HiSeq X Ten whole genome sequencing
Published in
PLOS ONE, January 2018
DOI 10.1371/journal.pone.0190264
Pubmed ID
Authors

Ann-Marie Patch, Katia Nones, Stephen H. Kazakoff, Felicity Newell, Scott Wood, Conrad Leonard, Oliver Holmes, Qinying Xu, Venkateswar Addala, Jenette Creaney, Bruce W. Robinson, Shujin Fu, Chunyu Geng, Tong Li, Wenwei Zhang, Xinming Liang, Junhua Rao, Jiahao Wang, Mingyu Tian, Yonggang Zhao, Fei Teng, Honglan Gou, Bicheng Yang, Hui Jiang, Feng Mu, John V. Pearson, Nicola Waddell

Abstract

Technological innovation and increased affordability have contributed to the widespread adoption of genome sequencing technologies in biomedical research. In particular large cancer research consortia have embraced next generation sequencing, and have used the technology to define the somatic mutation landscape of multiple cancer types. These studies have primarily utilised the Illumina HiSeq platforms. In this study we performed whole genome sequencing of three malignant pleural mesothelioma and matched normal samples using a new platform, the BGISEQ-500, and compared the results obtained with Illumina HiSeq X Ten. Germline and somatic, single nucleotide variants and small insertions or deletions were independently identified from data aligned human genome reference. The BGISEQ-500 and HiSeq X Ten platforms showed high concordance for germline calls with genotypes from SNP arrays (>99%). The germline and somatic single nucleotide variants identified in both sequencing platforms were highly concordant (86% and 72% respectively). These results indicate the potential applicability of the BGISEQ-500 platform for the identification of somatic and germline single nucleotide variants by whole genome sequencing. The BGISEQ-500 datasets described here represent the first publicly-available cancer genome sequencing performed using this platform.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 21%
Student > Ph. D. Student 11 15%
Student > Doctoral Student 8 11%
Student > Master 8 11%
Other 5 7%
Other 14 19%
Unknown 11 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 32%
Agricultural and Biological Sciences 20 28%
Medicine and Dentistry 4 6%
Mathematics 2 3%
Computer Science 2 3%
Other 8 11%
Unknown 13 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 October 2023.
All research outputs
#1,039,151
of 25,611,630 outputs
Outputs from PLOS ONE
#13,343
of 223,387 outputs
Outputs of similar age
#23,783
of 452,732 outputs
Outputs of similar age from PLOS ONE
#275
of 3,638 outputs
Altmetric has tracked 25,611,630 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 223,387 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 452,732 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 3,638 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.