bioinformatics, through the sequencing of the full genomes for many species, is increasingly relying on efficient global alignment tools exhibiting both high sensitivity and specificity. many computational algorithms have been applied for solving the sequence alignment problem. dynamic programming, statistical methods, approximation and heuristic algorithms are the most common methods applied t...

Submodularity is an important  property of set functions with deep theoretical results  and various  applications. Submodular systems appear in many applicable area, for example machine learning, economics, computer vision, social science, game theory and combinatorial optimization.  Nowadays submodular functions optimization has been attracted by many researchers.  Pendant pairs of a symmetric...

Cytochrome-c (cyt-c) is an electron transport protein, and it is present throughout the evolution. More than 280 sequences have been reported in the protein sequence database (www.uniprot.org). Though sequentially diverse, cyt-c has essentially retained its tertiary structure or fold. Thus a vast data set of varied sequences with retention of similar structure and fun...

We develop a precise writing survey on sequence-to-sequence learning with neural network and its models. The primary aim of this report is to enhance the knowledge locate best way deal executing it. Three models are mostly used in applications, namely: recurrent networks (RNN), connectionist temporal classification (CTC), attention model. evidence we adopted conducting included utilizing examin...