- John S Garavelli, University of Delaware
- Adam Godzik, Sanford-Burnham Medical Research Institute and UCSD
- Lawrence Hunter, University of Colorado Denver
- Igor Jurisica, Ontario Cancer Institute
- Adam Olshen, University of California, San Francisco
- Hanchuan Peng, Allen Institute for Brain Science
- Graziano Pesole, University of Bari
- Mihai Pop, University of Maryland
- Irene Pala, BioMed Central
Taxonomic Analysis by Elimination and Correction outperforms other tools in estimating taxonomic composition at a very low rank, especially when closely related species/strains exist in a metagenomic sample.
MoTeX-II is a word-based high-performance computing tool for single and structured MoTif eXtraction from large-scale datasets where runtime does not depend on the length of motifs, the size of the alphabet, or the error thresholds
A comprehensive analysis pipeline and workflow provides detailed research data reports for RNA-Seq; the software is available as multi-threaded version for cluster use or single thread for a virtual machine
COPS introduces an optimized vectorization of the Viterbi decoding algorithm built to work with the HMMER tool suite to improve speed of biological sequence analysis, with long and short models being processed up to two times faster.
BMC Bioinformatics 2014, 15(Suppl 10):P19
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