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OMIC
02167

Anchored Assembly

A novel analysis pipeline that accurately detects and maps variations that are often missed by standard analysis algorithms.

Specifications

Software type:
Framework
Interface:
Command line interface
Restrictions to use:
License purchase required
Operating system:
Unix/Linux
Programming languages:
C++
Parallelization:
MapReduce
License:
Commercial
Computer skills:
Advanced
Stability:
Stable
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Classification

Literature

  • (Magoc et al., 2013) GAGE-B: an evaluation of genome assemblers for bacterial organisms. Bioinformatics.
    PMID: 23665771
  • (Miller et al., 2010) Assembly algorithms for next-generation sequencing data. Genomics.
    PMID: 20211242
  • (Narzisi and Mishra, 2011) Comparing de novo genome assembly: the long and short of it. PloS one.
    PMID: 21559467
  • (Henson et al., 2012) Next-generation sequencing and large genome assemblies. Pharmacogenomics.
    PMID: 22676195
  • (Kleftogiannis et al., 2013) Comparing memory-efficient genome assemblers on stand-alone and cloud infrastructures. PloS one.
    PMID: 24086547
  • (Nagarajan and Pop, 2013) Sequence assembly demystified. Nature reviews Genetics.
    PMID: 23358380
  • (Bradnam et al., 2013) Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species. GigaScience.
    PMID: 23870653
  • (Salzberg et al., 2012) GAGE: A critical evaluation of genome assemblies and assembly algorithms. Genome research.
    PMID: 22147368
  • (Utturkar et al., 2014) Evaluation and validation of de novo and hybrid assembly techniques to derive high-quality genome sequences. Bioinformatics.
    PMID: 24930142
  • (Alkan et al., 2011) Limitations of next-generation genome sequence assembly. Nature methods.
    PMID: 21102452
  • (Love et al., 2016) Evaluation of DISCOVAR de novo using a mosquito sample for cost-effective short-read genome assembly. BMC genomics.
    PMID: 26944054

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