Biology subjects

Lan, D. M.

Publications and source records attributed to Lan, D. M..

3 recordsLinked to original sources

bioRxiv2023

Deep FASTQ and BAM co-compression in Genozip 15

We introduce Genozip Deep, a method for losslessly co-compressing FASTQ and BAM files. Benchmarking demonstrates improvements of 75% to 96% versus the already-compressed source files, translating to 2.3X to 6.8X better compression than current state-of-the-art algorithms that compress FASTQ and BAM separately. The Deep method is independent of the underlying FASTQ and BAM compressors, and here we present its implementation in Genozip, an established genomic data compression software.

bioinformatics↗

bioRxiv2022

Genozip 14 - advances in compression of BAM and CRAM files

SummaryGenozip performs compression of a wide range of genomic data, including widely used FASTQ, BAM and VCF file formats. Here, we introduce the latest advancement in Genozip technology, focused on compression of BAM and CRAM files. We demonstrate Genozips ability to compress data generated by a variety of study types (e.g., whole genome sequencing, DNA methylation, RNASeq), sequencing technologies and aligners, up to 2.7 times better than the current state of the art compressor, CRAM version 3.1. Availability and implementationGenozip is freely available for academic research use and has been tested for Linux, Mac and Windows. Installation instructions are available at https://genozip.com/installing.html. A user manual is available at https://genozip.com/manual.html. Supplementary informationSupplementary data are available.

bioinformatics↗

bioRxiv2022

Genozip Dual-Coordinate VCF format enables efficient genomic analyses and alleviates liftover limitations

We introduce Dual Coordinate VCF (DVCF), a file format that records genomic variants against two different reference genomes simultaneously and is fully compliant with the current VCF specification. As implemented in the Genozip platform, DVCF enables bioinformatics pipelines to seamlessly operate across two coordinate systems by leveraging the system most advantageous to each pipeline step, simplifying bioinformatics workflows and reducing file generation and associated data storage burden. Moreover, our benchmarking of Genozip DVCF shows that it produces more complete, less erroneous, and less biased translations across coordinate systems than two widely used alternative tools (i.e., LiftoverVcf and CrossMap). Availability and ImplementationAn open source (GPL) version of Genozip containing DVCF functionality but not compression functionality, and which includes scripts for reproducing the benchmarks presented here, is available at https://github.com/divonlan/dvcf. Documentation is available at https://genozip.com/dvcf.

bioinformatics↗