CRAFT: Compact genome Representation toward large-scale Alignment-Free daTabase

Author:

Lu Yang Young1,Bai Jiaxing2,Wang Yiwen2,Wang Ying23ORCID,Sun Fengzhu1

Affiliation:

1. Quantitative and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA

2. Department of Automation, Xiamen University, Xiamen 361000, China

3. Xiamen Key Lab. of Big Data Intelligent Analysis and Decision, Xiamen 361000, China

Abstract

Abstract Motivation Rapid developments in sequencing technologies have boosted generating high volumes of sequence data. To archive and analyze those data, one primary step is sequence comparison. Alignment-free sequence comparison based on k-mer frequencies offers a computationally efficient solution, yet in practice, the k-mer frequency vectors for large k of practical interest lead to excessive memory and storage consumption. Results We report CRAFT, a general genomic/metagenomic search engine to learn compact representations of sequences and perform fast comparison between DNA sequences. Specifically, given genome or high throughput sequencing data as input, CRAFT maps the data into a much smaller embedding space and locates the best matching genome in the archived massive sequence repositories. With 102−104-fold reduction of storage space, CRAFT performs fast query for gigabytes of data within seconds or minutes, achieving comparable performance as six state-of-the-art alignment-free measures. Availability and implementation CRAFT offers a user-friendly graphical user interface with one-click installation on Windows and Linux operating systems, freely available at https://github.com/jiaxingbai/CRAFT. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

U.S. National Science Foundation

Natural Science Foundation of Fujian

Open Fund of Engineering Research Center for Medical Data Mining and Application of Fujian Province

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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