Architectural Realm of Bioninformatics
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 2
Abstract
Bioinformatics is the application of computer science and information technology to the field of biology and medicine. Bioinformatics deals with algorithms, databases and information systems, web technologies, artificial intelligence and soft computing, information and computation theory, software engineering, data mining, image processing, modeling and simulation, signal processing, discrete mathematics, control and system theory, circuit theory, and statistics, for generating new knowledge of biology and medicine, and improving & discovering new models of computation (e.g. DNA computing, neural computing, evolutionary computing, immuno-computing, swarm-computing, cellular-computing). Java, XML, Perl, C, C++, Python, R, SQL and MatLab are the programming languages popularly used in this field. A bioinformatician needs to have a basic and general sense of the ideas and approaches of science
Authors and Affiliations
K. Suganya*1
Keywords
Related Articles
- EP ID EP90007
- DOI -
- Views 75
- Downloads 0
PERFORMANCE ANALYSIS OF COOPERATIVE COMMUNICATION FOR DUALHOPE RELAYING NETWORK WITH HARDWARE IMPAIRMENT OVER RAYLEIGH FADING CHANNEL
The cooperative communication becomes an important topic in the field of wireless communication network to improve the reiliability and speed of communication over long distance and curvbed surface. As distance is...
SEQUENTIAL DATA MINING: EXPLORING THE REDUNDANT PATTERNS FROM SEQUENCES TO MINIMIZE THE OVERALL PATTERNS
Recent studies in discovering patterns from sequence data have shown the significant impact in many aspects of data mining. In this research, a novel method of finding the redundant pattern is proposed. To efficie...
COD Removal of Different Industrial Wastewater by Fenton Oxidation Process
Advanced oxidation processes are possibly one of the most effective methods for the treatment of wastewater containing organic products (effluents from chemical and agrochemical industries, the textile industry,...
Direct and Indirect Discrimination Prevention in Data Mining
Discrimination is a presuppose privileges where provide to the each separate group for the safety of the data which is stored. Discrimination is two types, direct and indirect discrimination. Direct discrimination...
A SURVEY OF SEMI-SUPERVISED LEARNING
Semi Supervised Learning involves using both labeled and unlabeled data to train a classifier or for clustering. Semi supervised learning finds usage in many applications, since labeled data can be hard to fin...