 Genome-wide regulatory dynamics of translation in the Plasmodium falciparum asexual blood stages eLife, 2014
|
 SJ733, a clinical candidate for malaria that acts through ATP4 to induce rapid host-mediated clearance of Plasmodium PNAS, 2014
|
 A chemical rescue screen identifies a P.falcip. apicoplast inhibitor targeting MEP isoprenoid precursor biosynthesis AAC, 2014
|
 Actionable Diagnosis of Neuroleptospirosis by Next-Generation Sequencing NEJM, 2014
|
 Ball Python Nidovirus: a Candidate Etiologic Agent for Severe Respiratory Disease in Python regius mBio, 2014
|
 Kruppel Mediates the Selective Rebalancing of Ion Channel Expression Neuron, 2014
|
 The Kinase Regulator Mob1 Acts as a Patterning Protein for Stentor Morphogenesis PLoS Biology, 2014
|
|  Here we introduce HMMSplicer, an accurate and efficient algorithm for discovering canonical and non-canonical splice junctions in short read datasets. HMMSplicer identifies more splice junctions than currently available algorithms when tested on publicly available A. thaliana, P. falciparum, and H. sapiens datasets without a reduction in specificity. HMMSplicer was found to perform especially well in compact genomes and on genes with low expression levels, alternative splice isoforms, or non-canonical splice junctions. Because HHMSplicer does not rely on pre-built gene models, the products of inexact splicing are also detected. In addition, HMMSplicer provides a score for every predicted junction allowing the user to set a threshold to tune false positive rates depending on the needs of the experiment. HMMSplicer is implemented in Python. Code and documentation are freely available at the link below. Download HMMSplicer! (Updated Nov 25th 2010 - Version: 0.9.5) |
|
