sangerseqR

sangerseqR introduces an efficient solution for identifying indels and determining mutation sequences in individuals generated through genome editing techniques such as ZFN, TALEN, and CRISPR. The traditional approach, requiring sequencing multiple clones from each individual, becomes impractical when analyzing numerous subjects. Direct Sanger sequencing, although efficient, encounters difficulties with heterozygous genomes, resulting in ambiguous "double peaks" in the sequencing data due to mismatched regions.

SangerseqR incorporates the Poly Peak Parser, an online tool designed to deconvolute chromatogram data with ambiguous base calls into distinct wild-type and mutant allele sequences. This advancement permits the direct and efficient determination of indel characteristics from a single Sanger sequencing run of a PCR-amplified region encompassing the targeted site, eliminating the need for cloning.

Topic

Sequencing

Detail

  • Operation: Chromatogram visualisation

  • Software interface: Command-line user interface,Library

  • Language: R

  • License: GNU General Public License, version 2

  • Cost: Free

  • Version name: 1.38.0

  • Credit: The NHLBI Bench-to-Bassinet Consortium (benchtobassinet.com), a core facilities support grant to New England Research Institute, and an NRSA fellowship.

  • Input: -

  • Output: -

  • Contact: Jonathon Hill jhill@byu.edu

  • Collection: -

  • Maturity: Stable

Publications

  • Poly peak parser: Method and software for identification of unknown indels using sanger sequencing of polymerase chain reaction products.
  • Hill JT, et al. Poly peak parser: Method and software for identification of unknown indels using sanger sequencing of polymerase chain reaction products. Poly peak parser: Method and software for identification of unknown indels using sanger sequencing of polymerase chain reaction products. 2014; 243:1632-6. doi: 10.1002/dvdy.24183
  • https://doi.org/10.1002/dvdy.24183
  • PMID: 25160973
  • PMC: PMC4525701

Download and documentation


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