henhaobio
Sign in

GigaScienceBioinformaticsPeer-reviewed journal article

MBGC: Multiple Bacteria Genome Compressor

Szymon GrabowskiiD, Tomasz KowalskiiD

PDFDOIPreprintCode

Abstract

SummaryGenomes within the same species reveal large similarity, exploited by specialized multiple genome compressors. The existing algorithms and tools are however targeted at large, e.g., mammalian, genomes, and their performance on bacteria strains is mediocre. In this work, we propose MBGC, a specialized genome compressor making use of specific redundancy of bacterial genomes. Our tool is not only compression efficient, but also fast. On a collection of 168,311 bacterial genomes, totalling 587 GB, we achieve the compression ratio around the factor of 730, and the compression (resp. decompression) speed around 1070 MB/s (resp. 740 MB/s) using 8 hardware threads, on a computer with a 6-core / 12-thread CPU and a fast SSD, being about 4 times more succinct and more than an order of magnitude faster in the compression than our main competitors. Availability and implementationMBGC is freely available at github.com/kowallus/mbgc.

Citations
17
FWCI
1.23
Field percentile
top 20%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISBřinda '25Kowalski '19Song '24Wachsmann '26Wang '23Einarsson '23
63% semantic matchBioinformatics
Karel Břinda, Leandro Lima, Simone Pignotti+6 more·Nature Methods·Apr 1, 2025· 28 citations