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Identifies and quantifies footprints of the effects of noncoding variants on transcription factor (TF) binding. Sasquatch provides a relatively simple and yet informative approach, requiring only a single DNase-seq data set from the appropriate cell type. It can use data from any genotype to assess variants that are appropriate to that cell type. It can employ publicly available data of any reasonable depth and quality, generated by any of the existing DNase-seq protocols, including low-input DNase-seq protocols.

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Sasquatch classification

Sasquatch specifications

Unique identifier:
OMICS_21521
Restrictions to use:
None
Computer skills:
Basic
Maintained:
Yes
Interface:
Web user interface
License:
GNU General Public License version 3.0
Stability:
Stable

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Sasquatch classification

Sasquatch specifications

Unique identifier:
OMICS_21521
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 3.0
Stability:
Stable
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
Perl, R
Computer skills:
Advanced
Maintained:
Yes

Sasquatch distribution

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Sasquatch support

Maintainer

  • Jim Hughes <>
  • Jim Hughes <>

Additional information

https://github.com/rschwess/sasquatch

Credits

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Publications

Institution(s)

MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, Oxford, UK; Computational Biology Research Group, MRC Weatherall Institute of Molecular Medicine, Oxford, UK

Funding source(s)

Supported by the Medical Research Council (reference MC_UU_12009/4), the Wellcome Trust via a Strategic Award (reference 106130/Z/14/Z), and the Institutional Strategic Support Fund (reference 105605/Z/14/Z); the Wellcome Trust supporting award (reference 203728/Z/16/Z); the Wellcome Trust supporting award (reference 097309/Z/ 11/Z).

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