A mobile application on performing blast analysis and local alignment

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015.

Xehetasun bibliografikoak
Egile Nagusiak: Kiron, Md. Ismail, Sumon, Md. Enamul Haque, Mourey, Jannatul Maksuda, Ullah, Md. Zayed
Formatua: Thesis
Hizkuntza:English
Argitaratua: BRAC University 2016
Gaiak:
Sarrera elektronikoa:http://hdl.handle.net/10361/4664
id 10361-4664
record_format dspace
spelling 10361-46642022-01-26T10:08:18Z A mobile application on performing blast analysis and local alignment Kiron, Md. Ismail Sumon, Md. Enamul Haque Mourey, Jannatul Maksuda Ullah, Md. Zayed Computer science and engineering BLAST Smith-Waterman Protein sequence Aalignment Android Java This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015. In this ever-fast running modern world of technologies, bioinformatics is not lagging behind. It is now possible to connect one’s smart phone to the huge database of bioinformatics where one can find thousands of gene and organism information in a few seconds. This project of an Android mobile application is another dimension that has been added to the features of smart phones. This mobile app will allow the researchers and the students in the field of bioinformatics to have access to the NCBI website’s BLAST protein sequences as well as the Blosum62 matrix used for the Smith-Waterman algorithm to identify and deduce similarities between sequences. Local alignment and global alignment features were selected for the application. Upon testing of the programming language Java was found to be the most optimal language. On the basis of time complexity, space complexity etc. Smith-Waterman and BLAST algorithms were chosen for the application. First the algorithms were implemented for the computer system using Java. This was done in two parts, firstly implementation of the algorithms and secondly parsing data from the database server. Gradually the program was incorporated into smart phone system. Finally, the application was evaluated in the smart phone system using both sequence input and accession ID input of protein sequences. The results obtained from the app in the smart phone system were compared to the existing computer system which proved that new system is providing the same results. In future this app will be expanded to other platforms of mobile operating systems and additional functions will be added. 2016-01-03T15:42:31Z 2016-01-03T15:42:31Z 2015 Thesis ID 12101076 ID 15341034 ID14101270 ID 12101119 http://hdl.handle.net/10361/4664 en application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Computer science and engineering
BLAST
Smith-Waterman
Protein sequence
Aalignment
Android
Java
spellingShingle Computer science and engineering
BLAST
Smith-Waterman
Protein sequence
Aalignment
Android
Java
Kiron, Md. Ismail
Sumon, Md. Enamul Haque
Mourey, Jannatul Maksuda
Ullah, Md. Zayed
A mobile application on performing blast analysis and local alignment
description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015.
format Thesis
author Kiron, Md. Ismail
Sumon, Md. Enamul Haque
Mourey, Jannatul Maksuda
Ullah, Md. Zayed
author_facet Kiron, Md. Ismail
Sumon, Md. Enamul Haque
Mourey, Jannatul Maksuda
Ullah, Md. Zayed
author_sort Kiron, Md. Ismail
title A mobile application on performing blast analysis and local alignment
title_short A mobile application on performing blast analysis and local alignment
title_full A mobile application on performing blast analysis and local alignment
title_fullStr A mobile application on performing blast analysis and local alignment
title_full_unstemmed A mobile application on performing blast analysis and local alignment
title_sort mobile application on performing blast analysis and local alignment
publisher BRAC University
publishDate 2016
url http://hdl.handle.net/10361/4664
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