BioinformaticsBioinformaticsPeer-reviewed journal article
GTC: a novel attempt to maintenance of huge genome collections compressed
- Citations
- 22
- FWCI
- 1.69
- Field percentile
- top 14%
Abstract
MotivationO_ST_ABSResultsC_ST_ABSWe present GTC, a novel compressed data structure for representation of huge collections of genetic variation data. GTC significantly outperforms existing solutions in terms of compression ratio and time of answering various types of queries. We show that the largest of publicly available database of about 60 thousand haplotypes at about 40 million SNPs can be stored in less than 4 Gbytes, while the queries related to variants are answered in a fraction of a second.\n\nAvailabilityGTC can be downloaded from https://github.com/refresh-bio/GTC or http://sun.aei.polsl.pl/REFRESH/GTC.\n\nContactsebastian.deorowicz@polsl.pl
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.
Related papers
- GTShark: Genotype compression in large project
Sebastian Deorowicz, Agnieszka Danek·BioinformaticsPeer-reviewed·Jun 14, 2019
- Efficient genotype compression and analysis of large genetic variation datasets
Ryan M Layer, Neil Kindlon, … Aaron R Quinlan·Nature MethodsPeer-reviewed·Jan 1, 2016
- VariantStore: A Large-Scale Genomic Variant Search Index
Prashant Pandey, Yinjie Gao, Carl Kingsford·Genome biologyPeer-reviewed·Aug 19, 2021
- STABIX: Summary statistic-based GWAS indexing and compression
Kristen Schneider, Simon Walker, … Ryan M. Layer·BioinformaticsPeer-reviewed·Apr 29, 2025
- IGD: A simple, efficient genotype data format
Drew DeHaas, Xinzhu Wei·Bioinformatics AdvancesPeer-reviewed·Dec 26, 2024
- Genotype Representation Graphs: Enabling Efficient Analysis of Biobank-Scale Data
Drew DeHaas, Ziqing Pan, Xinzhu Wei·Nature Computational SciencePeer-reviewed·Dec 5, 2024