International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 120 - Issue 13 |
Published: June 2015 |
Authors: Varun Khanna, Aditya Patel |
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Varun Khanna, Aditya Patel . Mobile Application for Global Sequence Alignment and BLAST - MobSBlast. International Journal of Computer Applications. 120, 13 (June 2015), 1-5. DOI=10.5120/21284-4219
@article{ 10.5120/21284-4219, author = { Varun Khanna,Aditya Patel }, title = { Mobile Application for Global Sequence Alignment and BLAST - MobSBlast }, journal = { International Journal of Computer Applications }, year = { 2015 }, volume = { 120 }, number = { 13 }, pages = { 1-5 }, doi = { 10.5120/21284-4219 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2015 %A Varun Khanna %A Aditya Patel %T Mobile Application for Global Sequence Alignment and BLAST - MobSBlast%T %J International Journal of Computer Applications %V 120 %N 13 %P 1-5 %R 10.5120/21284-4219 %I Foundation of Computer Science (FCS), NY, USA
There has been an exponential growth of affordable mobile phones and tablets with significant processing power and memory storage. Having revolutionized the business world, the mobile technology is gradually making inroads into the scientific computing and helping researchers work more efficiently and productively. Mobile apps (software for mobile devices) running scientific applications continue to grow in number, diversity and capability. However, none of the apps currently available provides a mobile interface to one of the most widely used service in bioinformatics for sequence alignment and analysis called Basic Local Alignment Search Tool or BLAST. To address this need, a mobile app – MobSBlast was developed and implemented for the Android platform based mobile devices. In MobSBlast, global sequence alignment is based on Needleman-Wunsch algorithm, which runs locally on the device, while the BLAST algorithm uses the RESTful services to match the user query with the sequence databases at European Bioinformatics Institute. Given the high usage of mobile devices, such bioinformatics app would raise productivity of researchers and facilitate the analysis of sequence data.