The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
mRNA molecules are folded in the cells and therefore many of their substrings may actually be inaccessible to protein and microRNA binding. The need to apply an accessability crite...
Ydo Wexler, Chaya Ben-Zaken Zilberstein, Michal Zi...
— We present efficient cache-oblivious algorithms for some well-studied string problems in bioinformatics including the longest common subsequence, global pairwise sequence alig...
Rezaul Alam Chowdhury, Hai-son Le, Vijaya Ramachan...
As bioinformatics is an emerging application of high performance computing, this paper first evaluates the memory performance of several representative bioinformatics application...
Guangming Tan, Lin Xu, Shengzhong Feng, Ninghui Su...