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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
Published on: May 22, 2018
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BinDash, software for fast genome distance estimation on a typical personal laptop.
1Independent researcher, Waterloo, ON, Canada.
Bioinformatics (Oxford, England)
|July 28, 2018
Summary
BinDash is a new software for estimating pairwise genome distances, outperforming existing tools in speed and efficiency on a personal laptop. This tool enables large-scale genomic comparisons, even with millions of genomes.
Area of Science:
- Computational Biology
- Bioinformatics
- Genomics
Background:
- The rapid increase in genome data necessitates efficient methods for pairwise distance estimation.
- Current software solutions struggle to handle the scale of millions of genomes, even with cloud computing.
Purpose of the Study:
- To introduce BinDash, a novel multi-threaded software for rapid and efficient pairwise genome distance estimation.
- To demonstrate BinDash's capability to perform large-scale genomic comparisons on standard hardware.
Main Methods:
- Implementation of b-bit one-permutation rolling MinHash with optimal densification.
- Evaluation using bacterial genomes from RefSeq on a Dell Inspiron laptop.
Main Results:
- BinDash significantly outperforms state-of-the-art software in precision, compression ratio, memory usage, and runtime.
- The software effectively estimates pairwise distances for millions of genomes on a personal laptop.
Conclusions:
- BinDash offers a scalable and efficient solution for large-scale genomic distance estimation.
- The software's performance makes it suitable for researchers with limited computational resources.
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