Internet Archive Scholar
Filters
























1 Hit in 1.6 sec

WordCluster: detecting clusters of DNA words and genomic elements

Michael Hackenberg, Pedro Carpena, Pedro Bernaola-Galván, Guillermo Barturen, Ángel M Alganza, José L Oliver
2011 Algorithms for Molecular Biology  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (352.8 kB)
https://web.archive.org/web/20111014090512/http://www.almob.org/content/pdf/1748-7188-6-2.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL. The file type is application/pdf.

Many k-mers (or DNA words) and genomic elements are known to be spatially clustered in the genome.  ...  Conclusions: WordCluster seems to predict biological meaningful clusters of DNA words (k-mers) and genomic entities.  ...  Implementation The WordCluster algorithm allows the detection of clusters for DNA words (k-mers) and genomic elements (genes, transposons, SINEs, TFBSs, etc.).  ... 
doi:10.1186/1748-7188-6-2 pmid:21261981 pmcid:PMC3037320 fatcat:epurfls7n5gvxbmtmmhpjndkja
DOAJ
Citation

Michael Hackenberg, Pedro Carpena, Pedro Bernaola-Galván, Guillermo Barturen, Ángel M Alganza, José L Oliver. "WordCluster: detecting clusters of DNA words and genomic elements." Algorithms for Molecular Biology 6.1 (2011)