Journal of
Bioinformatics and Sequence Analysis

  • Abbreviation: J. Bioinform. Seq. Anal.
  • Language: English
  • ISSN: 2141-2464
  • DOI: 10.5897/JBSA
  • Start Year: 2009
  • Published Articles: 49

Full Length Research Paper

Bioinfotracker: A novel system for advanced genome functional insight

Gopal Ramesh Kumar1*, Ganesan Aravindhan1, Thankaswamy Kosalai Subazini1 and Radhakrishnan Sathish Kumar2
  1Bioinformatics Lab, AU-KBC Research Centre, MIT Campus, Anna University, Chennai-600 044, India. 2NRCFOSS, AU-KBC Research Centre, MIT Campus, Anna University, Chennai-600 044, India.
Email: [email protected].

  •  Accepted: 15 July 2009
  •  Published: 31 October 2009



With the accelerated accumulation of genomic sequence data in the World Wide Web, it has become highly essential to understand the role of these sequences in the biological systems by incorporating various advanced research archetypes. The intricacy of handling such a huge dataset manually has increased the need to develop automated methods that can analyze enormous numbers of biological sequences and produce efficient results. This being the objective, a novel computational system, Bioinfotracker, has been developed for the purpose of carrying out large-scale protein annotations. Different online tools operating on different strategies have been integrated in Bioinfotracker so as reduce the overall processing time of these tools individually. Further, Bioinfotracker facilitates automatic parsing of the results from all the tools and produce them in an easily interpretable table format. This facility will, therefore, greatly lessen the burden of hectic human parsing. Moreover, AJAX(Asynchronous JavaScript and XML) is used as an interface within this tool that will greatly control the unwanted page refresh menace and bandwidth consumption. Thus, Bioinfotracker remains a well structured, species-independent, flexible and highly controlled functional analysis system for the protein sequences of any organism. The software is freely available at:


Key words: Bioinfotracker, ajax, functional genomics, annotation, bandwidth, fasta.