henhaobio
Sign in

BioinformaticsBioinformaticsPeer-reviewed journal article

PgRC: Pseudogenome based Read Compressor

Tomasz KowalskiiD, Szymon GrabowskiiD

PDFDOIPreprintCode

Abstract

MotivationThe amount of sequencing data from High-Throughput Sequencing technologies grows at a pace exceeding the one predicted by Moores law. One of the basic requirements is to efficiently store and transmit such huge collections of data. Despite significant interest in designing FASTQ compressors, they are still imperfect in terms of compression ratio or decompression resources.\n\nResultsWe present Pseudogenome-based Read Compressor (PgRC), an in-memory algorithm for compressing the DNA stream, based on the idea of building an approximation of the shortest common superstring over high-quality reads. Experiments show that PgRC wins in compression ratio over its main competitors, SPRING and Minicom, by up to 18 and 21 percent on average, respectively, while being at least comparably fast in decompression.\n\nAvailabilityPgRC can be downloaded from https://github.com/kowallus/PgRC.\n\nContacttomasz.kowalski@p.lodz.pl

Citations
25
FWCI
0.91
Field percentile
top 21%

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
THISKowalski '20Tkachenko '26Sarkar '17Roguski '18Nazari '24Deorowicz '20
91% semantic matchBioinformatics
Tomasz Kowalski, Szymon Grabowski·bioRxiv·May 1, 2020· 3 citations