New synthetic-diploid benchmark for accurate variant calling evaluation
Jonathan M Bloom,
Benjamin M. Neale,
Daniel G. MacArthur
Posted 22 Nov 2017
bioRxiv DOI: 10.1101/223297 (published DOI: 10.1038/s41592-018-0054-7)
Posted 22 Nov 2017
Constructed from the consensus of multiple variant callers based on short-read data, existing benchmark datasets for evaluating variant calling accuracy are biased toward easy regions accessible by known algorithms. We derived a new benchmark dataset from the de novo PacBio assemblies of two human cell lines that are homozygous across the whole genome. This benchmark provides a more accurate and less biased estimate of the error rate of small variant calls in a realistic context.
- Downloaded 3,040 times
- Download rankings, all-time:
- Site-wide: 1,963 out of 100,173
- In bioinformatics: 344 out of 9,208
- Year to date:
- Site-wide: 33,863 out of 100,173
- Since beginning of last month:
- Site-wide: None out of 100,173
Downloads over time
Distribution of downloads per paper, site-wide
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!