bioinformatics data Articles

  • Big data and hydroinformatics

    Big data is popular in the areas of computer science, commerce and bioinformatics, but is in an early stage in hydroinformatics. Big data is originated from the extremely large datasets that cannot be processed in tolerable elapsed time with the traditional data processing methods. Using the analogy from the object-oriented programming, big data should be considered as objects encompassing the ...


    By IWA Publishing

  • Nomadic genetic algorithm for multiple sequence alignment (MSANGA)

    Genetic algorithms (GA) are adaptive search procedures that try to produce a globally optimum solution for problems of huge search space. This paper speaks about a variant of the standard genetic algorithm (SGA) called nomadic genetic algorithm (NGA) which is based on the concept of 'birds of the same feather flock together'. This NGA is found to maintain the diversity of individuals in the ...


    By Inderscience Publishers

  • Is qualitative and quantitative metabarcoding of dung fauna biodiversity feasible?

    In biodiversity assessments, especially of small‐bodied organisms for which taxonomic expertise is lacking, identification by genetic barcoding may be a cost‐effective and efficient alternative to traditional identification of species by morphology, ecology and behavior. Here we test the feasibility and accuracy of such an approach using dung insects of practical relevance in ecotoxicological ...


    By John Wiley & Sons, Ltd.

  • Environmental risk management: Leaving little to chance

    Life is risky at the best of times. And identifying and managing risks – in the environment, industry and financial markets – has become a priority for business and governments everywhere. Everyone knows what can go wrong. Environmental accidents, corporate scandals and financial imprudence have rung up damage bills in the billions of dollars. So the heat is on to find ways to better manage and ...

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