Now showing items 1-5 of 5
MR-CUDASW - GPU accelerated Smith-Waterman algorithm for medium-length (meta)genomic data
The idea of using a graphics processing unit (GPU) for more than simply graphic output purposes has been around for quite some time in scientific communities. However, it is only recently that its benefits for a range of ...
Bioinformatics challenges of high-throughput SNP discovery and utilization in non-model organisms
A current trend in biological science is the increased use of computational tools for both the production and analysis of experimental data. This is especially true in the field of genomics, where advancements in DNA ...
Applications of Machine Learning for Predicting Selection Outcomes in Antibody Phage Display
Antibodies form an essential component of the adaptive immune system, but they also have important scientific and clinical applications. These applications exploit the proven ability of antibodies to bind strongly and ...
Representing short sequences in the context of a model organism genome
In the post-genomics era, the sheer volume of data is overwhelming without appropriate tools for data integration and analysis. Studying genomic sequences in the context of other related genomic sequences, i.e. comparative ...
Improved sequence-read simulation for (meta)genomics
There are many programs available for generating simulated whole-genome shotgun sequence reads. The data generated by many of these programs follow predefined models, which limits their use to the authors' original intentions. ...