Ensemble analysis of adaptive compressed genome sequencing strategies

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Taghavi, Zeinab;
  • Publisher: Springer Nature
  • Journal: BMC Bioinformatics,volume 15,issue Suppl 9,pagesS13-S13 (issn: 1471-2105, eissn: 1471-2105)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.1186/1471-2105-15-s9-s13, pmc: PMC4221792
  • Subject: Molecular Biology | single-cell sequencing | microbial community | compressed sensing | Biochemistry | Quantitative Biology - Genomics | Computer Science Applications | co-assembly | sparsity | Proceedings | compressive genomics | adaptive sensing

Background Acquiring genomes at single-cell resolution has many applications such as in the study of microbiota. However, deep sequencing and assembly of all of millions of cells in a sample is prohibitively costly. A property that can come to rescue is that deep sequen... View more
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