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      DNAApp: a mobile application for sequencing data analysis

      research-article
      1 , 1 , 2 , 3 ,   1 , 4 , *
      Bioinformatics
      Oxford University Press

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          Abstract

          Summary: There have been numerous applications developed for decoding and visualization of ab1 DNA sequencing files for Windows and MAC platforms, yet none exists for the increasingly popular smartphone operating systems. The ability to decode sequencing files cannot easily be carried out using browser accessed Web tools. To overcome this hurdle, we have developed a new native app called DNAApp that can decode and display ab1 sequencing file on Android and iOS. In addition to in-built analysis tools such as reverse complementation, protein translation and searching for specific sequences, we have incorporated convenient functions that would facilitate the harnessing of online Web tools for a full range of analysis. Given the high usage of Android/iOS tablets and smartphones, such bioinformatics apps would raise productivity and facilitate the high demand for analyzing sequencing data in biomedical research.

          Availability and implementation: The Android version of DNAApp is available in Google Play Store as ‘DNAApp’, and the iOS version is available in the App Store. More details on the app can be found at www.facebook.com/APDLab; www.bii.a-star.edu.sg/research/trd/apd.php

          The DNAApp user guide is available at http://tinyurl.com/DNAAppuser, and a video tutorial is available on Google Play Store and App Store, as well as on the Facebook page.

          Contact: samuelg@ 123456bii.a-star.edu.sg

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          Most cited references10

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          Positional effect of single bulge nucleotide on PNA(peptide nucleic acid)/DNA hybrid stability

          We report positional effect of bulge nucleotide on PNA/DNA hybrid stability. CD spectra showed that PNA/DNA hybrids required at least seven base pairings at a stem region to form a bulged structure. On the other hand, DNA/DNA could form bulged structure when there are only four base pairings adjacent to the bulge nucleotide. We discuss why PNA requests such a many base pairings to form bulged structure from a nearest neighbor standpoint.
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            Smart Phone, Smart Science: How the Use of Smartphones Can Revolutionize Research in Cognitive Science

            Investigating human cognitive faculties such as language, attention, and memory most often relies on testing small and homogeneous groups of volunteers coming to research facilities where they are asked to participate in behavioral experiments. We show that this limitation and sampling bias can be overcome by using smartphone technology to collect data in cognitive science experiments from thousands of subjects from all over the world. This mass coordinated use of smartphones creates a novel and powerful scientific “instrument” that yields the data necessary to test universal theories of cognition. This increase in power represents a potential revolution in cognitive science.
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              The Theory of Splines and Their Applications

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                Author and article information

                Journal
                Bioinformatics
                Bioinformatics
                bioinformatics
                bioinfo
                Bioinformatics
                Oxford University Press
                1367-4803
                1367-4811
                15 November 2014
                05 August 2014
                05 August 2014
                : 30
                : 22
                : 3270-3271
                Affiliations
                1Bioinformatics Institute, Agency for Science, Technology, and Research (A*STAR), Singapore 138671, 2Department of Biological Sciences, National University of Singapore (NUS), Singapore 119077, 3School of Biological Sciences, Nanyang Technological University (NTU), Singapore 639798 and 4p53 Laboratory, Agency for Science, Technology, and Research (A*STAR), Singapore 138648, Republic of Singapore
                Author notes
                *To whom correspondence should be addressed.

                Associate Editor: Alfonso Valencia

                Article
                btu525
                10.1093/bioinformatics/btu525
                4221124
                25095882
                d46d87bd-9d24-4c0d-b4c9-74df5055ef80
                © The Author 2014. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 1 April 2014
                : 28 June 2014
                : 29 July 2014
                Page count
                Pages: 2
                Categories
                Applications Notes
                Sequence Analysis

                Bioinformatics & Computational biology
                Bioinformatics & Computational biology

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