General Information
| Description | Software for greedy clustering of 16S rRNA reads |
| Homepage | http://code.google.com/p/dysc/ |
Publications
DySC: software for greedy clustering of 16S rRNA reads
Summary:
Pyrosequencing technologies are frequently used for sequencing the 16S ribosomal RNA marker gene for profiling microbial communities. Clustering of the produced reads is an important but time-consuming task. We present Dynamic Seed-based Clustering (DySC), a new tool based on the greedy clustering approach that uses a dynamic seeding strategy. Evaluations based on the normalized mutual information (NMI) criterion show that DySC produces higher quality clusters than UCLUST and CD-HIT at a comparable runtime.
Availability and implementation: DySC, implemented in C, is available at http://code.google.com/p/dysc/ under GNU GPL license.
Contact:
bertil.schmidt@uni-mainz.de
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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