ArticleNucleic acids research2016
CARGO: effective format-free compressed storage of genomic information.
Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- CMIC: an efficient quality score compressor with random access functionality.BMC bioinformatics · 2022Article
- CALQ: compression of quality values of aligned sequencing data.Bioinformatics (Oxford, England) · 2018Article
- GeneComp, a new reference-based compressor for SAM files.Proceedings. Data Compression Conference · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The recent super-exponential growth in the amount of sequencing data generated worldwide has put techniques for compressed storage into the focus. Most available solutions, however, are strictly tied to specific bioinformatics formats, sometimes inheriting from them suboptimal design choices; this hinders flexible and effective data sharing. Here, we present CARGO (Compressed ARchiving for GenOmics), a high-level framework to automatically generate software systems optimized for the compressed storage of arbitrary types of large genomic data collections. Straightforward applications of our approach to FASTQ and SAM archives require a few lines of code, produce solutions that match and sometimes outperform specialized format-tailored compressors and scale well to multi-TB datasets. All CARGO software components can be freely downloaded for academic and non-commercial use from http://bio-cargo.sourceforge.net.
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Registered trials
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