4.7 Article

New developments of alignment-free sequence comparison: measures, statistics and next-generation sequencing

期刊

BRIEFINGS IN BIOINFORMATICS
卷 15, 期 3, 页码 343-353

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bib/bbt067

关键词

alignment-free; word patterns; Markov model; genome comparison; statistical power; NGS data

资金

  1. US National Institutes of Health [P50HG002790, R21HG006199]
  2. NSF [DMS-1043075, OCE 1136818]
  3. National Natural Science Foundation of China [31171262, 11021463]
  4. National Key Basic Research Project of China [2009CB918503]
  5. Engineering and Physical Sciences Research Council [EP/K032402/1] Funding Source: researchfish
  6. Directorate For Geosciences
  7. Division Of Ocean Sciences [1136818] Funding Source: National Science Foundation
  8. EPSRC [EP/K032402/1] Funding Source: UKRI

向作者/读者索取更多资源

With the development of next-generation sequencing (NGS) technologies, a large amount of short read data has been generated. Assembly of these short reads can be challenging for genomes and metagenomes without template sequences, making alignment-based genome sequence comparison difficult. In addition, sequence reads from NGS can come from different regions of various genomes and they may not be alignable. Sequence signature-based methods for genome comparison based on the frequencies of word patterns in genomes and metagenomes can potentially be useful for the analysis of short reads data from NGS. Here we review the recent development of alignment-free genome and metagenome comparison based on the frequencies of word patterns with emphasis on the dissimilarity measures between sequences, the statistical power of these measures when two sequences are related and the applications of these measures to NGS data.

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