 Extending chemical perturbations of the ubiquitin fitness landscape in a classroom setting reveals new constraints on sequence tolerance Biology Open, 2018
|
 Whole-Genome mRNA Gene Expression Differs Between Patients With and Without Delirium Sage Journals, 2018
|
 Avian keratin disorder of Alaska black-capped chickadees is associated with Poecivirus infection Virology Journal, 2018
|
 Low-Cost Touchscreen Driven Programmable Dual Syringe Pump for Life Science Applications Science Direct, 2018
|
 Metagenomic next-generation sequencing reveals Miamiensis avidus (Ciliophora: Scuticociliatida) in the 2017 epizootic of leopard sharks (Triakis semifasciata) in San Francisco Bay, California BioRxiv, 2018
|
 Chronic Meningitis Investigated via Metagenomic Next-Generation Sequencing JAMA Network, 2018
|
 Metagenomic Sequencing Detects Respiratory Pathogens in Hematopoietic Cellular Transplant Patients American Journal of Respiratory and Critical Care Medicine, 2018
|
|  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) |
|
