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DRAW

eagle-i ID

http://eagle-i.itmat.upenn.edu/i/00000140-30f2-3472-da89-3b9280000000

Resource Type

  1. Algorithmic software component

Properties

  1. Resource Description
    "DRAW stands for DNA Resequencing Analysis Workflow. DRAW automates the entire process of mapping sequence reads, various quality control steps and calling variants. We developed DRAW following Best Practice Variant Detection with the Genomic Analysis Toolkit. DRAW accepts both single-end and pair-end reads in FASTQ format from a variety of DNA-seq experiments including: Whole Genome Sequencing, Whole Exome Sequencing, and target capture sequencing." DRAW can be run locally or as an Amazon Machine Image. Before running DRAW locally, the following third party programs must be installed and working properly: • <b>BWA</b> (Burrows-Wheeler Aligner) is available from http://bio-bwa.sourceforge.net/ • <b>Picard</b> and <b>Samtools</b> are both available from http://picard.sourceforge.net/ • <b>GATK</b> (Genome Analysis ToolKit) is available from http://www.broadinstitute.org/gatk/
  2. Additional Name
    DNA Resequencing Analysis Workflow
  3. Used by
    Wang Laboratory
  4. Data Input
    Demultiplexed raw sequence reads
  5. Data Output
    Annotated VCF files for called variants
  6. Data Output
    Read alignment files (BAM)
  7. Data Output
    QC summary for SneakPeek - 36 quality metrics
  8. Software purpose
    Sequence alignment objective
  9. Software purpose
    Genetic variant discovery objective
  10. Related Publication or Documentation
    DRAW+SneakPeek: Analysis Workflow and Quality Metric Man-agement for DNA-Seq Experiments
  11. Website(s)
    https://www.niagads.org/node/79
  12. Software license
    MIT License
  13. Algorithm used
    Burrows-Wheeler technique
  14. Coded in
    Shell
 
RDFRDF
 
Provenance Metadata About This Resource Record
  1. workflow state
    Published
  2. contributor
    fcoldren
  3. created
    2013-07-30T14:59:49.772-04:00
  4. creator
    fcoldren
  5. modified
    2015-02-23T10:32:24.543-05:00

Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016