WEB BASED PROGRAM FOR BIG MOLECULAR DATA CONVERSION FOR ANALYSIS BY MATLAB, PHYTON OR R
Abstract
Molecular data is created in different formats: MICROSAT, SNP, AFLP, RFLP, DNA, RNA, DISTANCE, PROTEIN, DART, INDEL, RAPID. File formats includes Arlequin, Genpop, Structure, Nexus, Mega, Fasta. Scientists working in this field needs to analyze this molecular data, and he/she does it by either writing special programs to convert these big data to the format he needs or sends his/her data to some centers for analysis. User friendly and easy to use web based molecular data converting program was deveopled using R programming language at Kafkas University Department of Bioengineering and Department of Computer Engineering. Users can upload their data using the Web based program selecting input and out file formats to convert their big molecular data to the format they want for analysis using either R, Phyton programming languages or MATLAB Wavelet Toolbox™
Keywords
References
- Artail, H.A., Al-Asadi, H., Koleilat, W. and Chehab, A. 2004. “Applications of a Spreadsheet-based Wavelet Analysis Toolbox in Education”. Int. J. Engeng. Ed. 20(6), 920-927.
- Ballabio, D. 2015. “A MATLAB toolbox for Principal Component Analysis and unsupervised exploration of data structure.” Chemometrics and Intelligent Laboratory Systems 149,1–9.
- Bigdely-Shamlo, N., Mullen, T., Kothe, C., Su, KM., and Robbins, K.A. 2015. “The PREP pipeline: standardized preprocessing for large-scale EEG analysis”. Frontiers in Neuroinformatics, 9: 16.
- Bruce, A. and Gao, H.Y. 2016. “ Applied Wavelet Analysis with S-Plus Springer-Verlag New York, Inc. Secaucus, NJ, USA ©1996, ISBN:0387947140 http://dl.acm.org/citation. cfm?id=547924 accessed on July 15, 2016
- Camacho, J., Perez-Villegas, A., Rodriguez-Gomez, R.A., and Jiménez-Mañas, E. 2015. “Multivariate Exploratory Data Analysis (MEDA) Toolbox for Matlab”. Chemometrics and Intelligent Laboratory Systems, 143,49-57.
- Dinc¸ E. and Baleanu, D. 2003. “Multidetermination of thiamine HCl and pyridoxine HCl in their mixture using continuous daubechies and biorthogonal wavelet analysis.” Talanta, 59(4), 707-717.
- Lai, C.S. 2015. “ High Impedance Fault and Heavy Load under Big Data Context”, IEEE International Conference on Systems Man and Cybernetics Conference Proceedings, Pages: 653-658.
- Manojbhai, D. D., Pradipkumar, K. K., and Rajamenakshi, R. 2016. “Big Image Analysis for Identifying Tumor Pattern Similarities”. Proceedings of 2016 International Conference on Advanced Communication Control and Computing Technologies(ICACCCT), Pages: 39-43.
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Publication Date
July 1, 2018
Submission Date
June 30, 2018
Acceptance Date
-
Published in Issue
Year 2018 Volume: 2 Number: 1