Bioinformatics: Basics, Development, and Future

Bioinformatics Basics:

Bioinformatics is an interdisciplinary field that develops computational methods and software packages for analyzing biological data. As an interdisciplinary field of science, bioinformatics combines technologies from computer science, statistics, and optimization to process biological data. The ultimate goal of bioinformatics is to discover new biological insights through the analysis of biological data.

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Bioinformatics Development:

Bioinformatics has become an essential interdisciplinary scientific field to the life science helping to “omics” field and technologies and mainly handling and analyzing “omes” data. Accumulation of high-throughput biological data due to the technological advances in “omics” fields required and prioritized the use of bioinformatics resources, and research and application for the analysis of complex and even further enlarging “Big Data” volumes, which would be impractical and useless without bioinformatics. Therefore, as highlighted herein, there is a critical need for the preparation of well-qualified, new generation scientists with integrated knowledge, multilingual ability, and cross-field experience who are capable of using sophisticated operating systems, software and algorithms, and database/networking technologies to handle, analyze, and interpret the high-throughput and increasing volume of complex biological data.

Bioinformatics Future :

Community resources and a globally coordinated foundation of bioinformatics training and education platforms, as well as research conferences, workshops, short online training, and web-based educational courses and materials, are available to accomplish toward this goal. However, there is an urgent need for the development of bioinformatics education and training, in particular in developing countries, which requires innovative platforms, training techniques, better funding, web and network access, and high-performance computing systems.

In the research side, bioinformatics tools need to be improved for analysis of the growing body of high-throughput pangenomics, metagenomics, proteomics, and metabolomics data. There are needs for “effective tools” to perform better genome assembly and annotation with high accuracy; however, it requires the improvement of quality of sequenced genomes without gaps, and sequencing of more genome representatives, sub-genomes, polyploidy species, genomes of single cells, and specific tissues that would generate information to work, modify, and correct bioinformatics algorithms and programming approaches.

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Reference

• theinsightpartners.com
• intechopen.com