RepMiner takes a graph theory approach to the classification and assembly of the repetitive fraction of genomic sequence data. Sequence lengths analyzed by RepMiner can range from full length transposable elements to low coverage sample sequence data.

Project Samples

Clustering of Full Length LTR Retrotransposons Simulated sample sequence clusters

Project Activity

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Categories

Database Engines/Servers, Bio-Informatics

License

GNU General Public License version 2.0 (GPLv2)

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Additional Project Details

Intended Audience

Science/Research, Advanced End Users, Developers, End Users/Desktop

User Interface

Command-line

Programming Language

Perl

Database Environment

Perl DBI/DBD, MySQL

Related Categories

Perl Database Engines Servers, Perl Bio-Informatics Software

Registered

2007-03-30
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