Antisense genes have been shown to have a variety of functions in both prokaryotes and recently in eukaryotes as well. They are hypothesized to be an important part of every genome and have been shown to be evolutionarily conserved as well. Naturally, it is in our interest to develop a software for identifying antisense pairs. While a variety of approaches and software do exist, each approach has its limitations and the software is not meant for large-scale analyses for identifying both cis and trans antisense genes. Here we present a novel way to identify antisense genes and show the results we obtained through it. While in no means a perfect solution, we do manage to show a possible way that may lead to more accurate prediction of antisense genes.
['Mark J. Lawson', 'Liqing Zhang']
The identification of antisense gene pairs through available software