This paper presents a seed-based algorithm for intensive DNA sequence comparison. The novelty comes from the way seeds are used to efficiently generate small ungapped alignments ...
Cancer is ranked as one of the top killers in all human diseases and continues to have a devastating effect on the population around the globe. Current research efforts are aiming...
We introduce three ensemble machine learning methods for analysis of biological DNA binding by transcription factors (TFs). The goal is to identify both TF target genes and their ...
The Molecular Evolutionary Genetics Analysis (MEGA) software is a desktop application designed for comparative analysis of homologous gene sequences either from multigene families...
Sudhir Kumar, Masatoshi Nei, Joel Dudley, Koichiro...
The problem of discovering novel motifs of binding sites is important to the understanding of gene regulatory networks. Motifs are generally represented by matrices (PWM or PSSM) o...