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  1. Jaber KM, Abdullah R, Rashid NA
    Int J Bioinform Res Appl, 2014;10(3):321-40.
    PMID: 24794073 DOI: 10.1504/IJBRA.2014.060765
    In recent times, the size of biological databases has increased significantly, with the continuous growth in the number of users and rate of queries; such that some databases have reached the terabyte size. There is therefore, the increasing need to access databases at the fastest rates possible. In this paper, the decision tree indexing model (PDTIM) was parallelised, using a hybrid of distributed and shared memory on resident database; with horizontal and vertical growth through Message Passing Interface (MPI) and POSIX Thread (PThread), to accelerate the index building time. The PDTIM was implemented using 1, 2, 4 and 5 processors on 1, 2, 3 and 4 threads respectively. The results show that the hybrid technique improved the speedup, compared to a sequential version. It could be concluded from results that the proposed PDTIM is appropriate for large data sets, in terms of index building time.
  2. Shardiwal RK, Sohrab SS
    Int J Bioinform Res Appl, 2010;6(3):223-9.
    PMID: 20615831
    Relative Synonymous Codon Usage (RSCU) and Relative Adaptiveness of a Codon (RAC) table bias importance in gene expression are well documented in the literature. However, to improve the gene expression we need to figure out which codons are optimal for the expression in order to synthesise an appropriate DNA sequence. An alternative to the manual approach, which is obviously a tedious task, is to set up software on your computer to perform this. Though such kinds of programs are available on the internet, none of them are open-source libraries. Here, one can use our Perl program to do his or her task more easily and efficiently. It is free for everyone.
  3. Dey S, Nandy A, Nandy P, Das S
    Int J Bioinform Res Appl, 2015;11(6):469-82.
    PMID: 26642358 DOI: 10.1504/ijbra.2015.073235
    Dengue viral attacks have been reported in various parts of India in recent years. In this paper we report on our studies of the characterisation and evolutionary aspects of gene sequences of the envelope glycoprotein of the prevalent Indian dengue virus type 1. Comparison with sequences from other countries shows that the envelope genes identified in India are closely related to strains from Malaysia. From the evolutionary point of view the envelope gene sequences of this dengue virus of India for past few years show that a marked mutational shift in the nucleotide sequences of the envelope gene have taken place from around the year 2000. Also, phylogenetic relationship with other three sera of dengue virus reported in India from 2005 shows that the dengue virus 1 is more closely related to dengue viruses 3 and 4 and relatively distantly to dengue virus 2.
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