EventsMOL2NET'16, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 2nd ed.
Published
This submission belongs to the session 02. CHEMBIOMOL-02: Chem. Biol. & Med. Chem. Workshop, Rostock, Germany-Bilbao, Spain-Galveston, Texas, USA, 2016 of the event MOL2NET'16, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 2nd ed.
Published date
04 Oct, 2016
Citation
Swaminathan Venkataramanan, Chandran Sivakumar, PROF.DATO DR. MD GAPAR MD. JOHAR, A prototype web application package for basic DNA and protein analysis using R language, in Proceedings of MOL2NET'16, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 2nd ed., 15 October–20 October 2022, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-02-02003
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A prototype web application package for basic DNA and protein analysis using R language

Chandran Sivakumar 1
PROF.DATO DR. MD GAPAR MD. JOHAR 1
1. Management and Science University,Malaysia
Abstract

Analysis of DNA and protein has become a very important aspect in the field of research, especially for Bioinformatics. This is important as the basic analysis of these protein and DNA can lead to further advanced analysis of the sequence, which may lead to new discoveries. Basic analysis of sequences is done in the industry, research as well as education. R language is a statistical program that is used in the analysis of DNA and protein sequences, through the application of packages in the Comprehensive R Archive Network. This analysis package helps to analyze sequences, but in a command prompt analysis. However, the process is slow as the researcher has to enter several lines of codes to obtain the result for the analysis. The research is to develop a prototype web application package with an interactive new interface for the DNA and protein analysis. The prototype is fully coded in R with options to download the results as well as providing information about the codes being used for the analysis and the package reference. This application is made to assist in the sequence analysis of DNA and protein without having to write the codes. 

Keywords
R
Bioinformatics
sequence analysis
web application
statistics
Poster
Manuscript Siva Kumar.pdf
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