Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/126998
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Type: | Journal article |
Title: | genozip: a fast and efficient compression tool for VCF files |
Author: | Lan, D. Tobler, R. Souilmi, Y. Llamas, B. |
Citation: | Bioinformatics, 2020; 36(13):4091-4092 |
Publisher: | Oxford University Press |
Issue Date: | 2020 |
ISSN: | 1367-4803 1367-4811 |
Editor: | Robinson, P. |
Statement of Responsibility: | Divon Lan, Raymond Tobler, Yassine Souilmi and Bastien Llamas |
Abstract: | genozip is a new lossless compression tool for VCF (Variant Call Format) files. By applying field-specific algorithms and fully utilizing the available computational hardware, genozip achieves the highest compression ratios amongst existing lossless compression tools known to the authors, at speeds comparable with the fastest multi-threaded compressors. genozip is freely available to non-commercial users. It can be installed via conda-forge, Docker Hub, or downloaded from github.com/divonlan/genozip. Supplementary data are available at Bioinformatics online. |
Keywords: | Genomics Algorithms Data Compression Software High-Throughput Nucleotide Sequencing |
Rights: | © The Author(s) 2020. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
DOI: | 10.1093/bioinformatics/btaa290 |
Grant ID: | http://purl.org/au-research/grants/arc/DP190103705 http://purl.org/au-research/grants/arc/DE190101069 http://purl.org/au-research/grants/arc/FT170100448 |
Published version: | http://dx.doi.org/10.1093/bioinformatics/btaa290 |
Appears in Collections: | Aurora harvest 8 Physics publications |
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hdl_126998.pdf | Published version | 333 kB | Adobe PDF | View/Open |
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