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Exploration and retrieval of whole-metagenome sequencing samples
Author(s) -
Sohan Seth,
Niko Välimäki,
Samuel Kaski,
Antti Honkela
Publication year - 2014
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btu340
Subject(s) - metagenomics , shotgun sequencing , human microbiome project , computer science , microbiome , computational biology , sample (material) , software , dna sequencing , data mining , biology , bioinformatics , genetics , gene , chemistry , chromatography , programming language
Over the recent years, the field of whole-metagenome shotgun sequencing has witnessed significant growth owing to the high-throughput sequencing technologies that allow sequencing genomic samples cheaper, faster and with better coverage than before. This technical advancement has initiated the trend of sequencing multiple samples in different conditions or environments to explore the similarities and dissimilarities of the microbial communities. Examples include the human microbiome project and various studies of the human intestinal tract. With the availability of ever larger databases of such measurements, finding samples similar to a given query sample is becoming a central operation.

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