THiCweed specifications

Information


Unique identifier OMICS_15449
Name THiCweed
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data Takes as input a single fasta-formatted file containing multiple sequences to be clustered on similarity. The sequences may be of different lengths.
Input format FASTA
Operating system Unix/Linux
License BSD 3-clause “New” or “Revised” License
Computer skills Advanced
Stability Stable
Requirements
Julia, ArgParse module
Maintained Yes

Download


download.png
github.png

Versioning


No version available

Maintainer


  • person_outline Rahul Siddharthan

Publication for THiCweed

THiCweed citation

library_books

THiCweed: fast, sensitive detection of sequence features by clustering big datasets

2017
Nucleic Acids Res
PMCID: 5861420
PMID: 29267972
DOI: 10.1093/nar/gkx1251

[…] Running on actual genomic data yields a variety of different results depending on the factor being examined and the size of the dataset.THiCweed has no prior knowledge of the number of different motif clusters, but by default reports a maximum of 15. In some cases far fewer are reported. Because of the statistical criteria on splittin […]

THiCweed institution(s)
The Institute of Mathematical Sciences (HBNI), Chennai, India; CSIR National Chemical Laboratory, Pune, India
THiCweed funding source(s)
This work was supported by a Wellcome Trust-DBT India Alliance Early Career fellowship and the PRISM 12th plan project under the Department of Atomic Energy, Government of India.

THiCweed reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review THiCweed