Pattern Recognition in Bioinformatics

Finding Exact and Solo LTR-Retrotransposons in Biological Sequences Using SVM

Finding repetitive subsequences in genome is a challengeable problem in bioinformatics research area. A lot of approaches have been proposed to solve the problem, which could be divided to library base and de novo methods. The library base methods use predetermined repetitive genome’s subsequences, where library-less methods attempt to discover repetitive subsequences by analytical approach...

Bioinformatics Analysis of Upstream Region and Protein Structure of Fungal Phytase Gene

Phytase increases the bioavailability of phytate phosphorus in seed-based animal feeds and reduces the phosphorus pollution of animal waste. Since most animal feeds for pellets are heated up to 65-80 °C, the production of a thermostable structure for phytase can be useful. In this study, we sought to perform bioinformatics analysis of the upstream region and protein structure of fungal phytase ...

ROUGH-FUZZY PATTERN RECOGNITION ROUGH-FUZZY PATTERN RECOGNITION Applications in Bioinformatics and Medical Imaging

Pattern recognition techniques for the emerging field of bioinformatics: A review

The emerging field of bioinformatics has recently created much interest in the computer science and engineering communities. With the wealth of sequence data in many public online databases and the huge amount of data generated from the Human Genome Project, computer analysis has become indispensable. This calls for novel algorithms and opens up new areas of applications for many pattern recogn...

Pattern recognition in bioinformatics

Pattern recognition is concerned with the development of systems that learn to solve a given problem using a set of example instances, each represented by a number of features. These problems include clustering, the grouping of similar instances; classification, the task of assigning a discrete label to a given instance; and dimensionality reduction, combining or selecting features to arrive at...

A web server for inferring the human N-acetyltransferase-2 (NAT2) enzymatic phenotype from NAT2 genotype

UNLABELLED N-acetyltransferase-2 (NAT2) is an important enzyme that catalyzes the acetylation of aromatic and heterocyclic amine carcinogens. Individuals in human populations are divided into three NAT2 acetylator phenotypes: slow, rapid and intermediate. NAT2PRED is a web server that implements a supervised pattern recognition method to infer NAT2 phenotype from SNPs found in NAT2 gene positio...