Now showing items 1-5 of 5
Computational approaches for the prediction of apicoplast-targeted proteins
Motivation:The cells of eukaryotic organisms contain subunits called organelles. The apicoplast is a unique organelle found in a group of parasites, known as Apicomplexa, that are responsible for a wide range of serious ...
METABOLITE IN SILICO IDENTIFICATION SOFTWARE (METISIS): A MACHINE LEARNING APPROACH TO TANDEM MASS SPECTRAL IDENTIFICATION OF METABOLITES
Liquid chromatography-mass spectrometry-based metabolomics has gained importance in the life sciences, yet it is not supported by software tools for high throughput identification of metabolites based on their fragmentation ...
Computational methods for estimating genetic relationships
The advent of molecular methods has altered our approach to the studyof the genetic relationships of microbes. In particular, we now havethe unprecedented ability to estimate genetic relationships from wholegenome sequences ...
SCALABLE PARALLEL METHODS FOR ANALYZING METAGENOMICS DATA AT EXTREME SCALE
The field of bioinformatics and computational biology is currently experiencing a data revolution. The exciting prospect of making fundamental biological discoveries is fueling the rapid development and deployment of ...
Parallel Algorithms for Large-scale Computational Metagenomics
Developing high performance computing solutions for modern day biological problems present a unique set of challenges. The field is experiencing a data revolution due to a rapid introduction of several disruptive experimental ...