Innovative Bioinformatics in Clinical Genomics Sequencing
Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines biology, computer science, mathematics and statistics to analyze and interpret biological data. Bioinformatics has been used for in silico analyses of biological queries using mathematical and statistical techniques.
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Bioinformatics is an amalgamation of biology and information technology, which uses software to link biological data with techniques for information storage, distribution and analysis to support multiple areas of scientific research, including biomedicine.
Bioinformatics is a field of study that uses computation to extract knowledge from biological data. It includes the collection, storage, retrieval, manipulation and modelling of data for analysis, visualization or prediction through the development of algorithms and software.
Sequences
Computers became essential in molecular biology when protein sequences became available after Frederick Sanger determined the sequence of insulin in the early 1950s. Comparing multiple sequences manually turned out to be impractical. A pioneer in the field was Margaret Oakley Dayhoff.She compiled one of the first protein sequence databases, initially published as books and pioneered methods of sequence alignment and molecular evolution.Another early contributor to bioinformatics was Elvin A. Kabat, who pioneered biological sequence analysis in 1970 with his comprehensive volumes of antibody sequences released with Tai Te Wu between 1980 and 1991.
Machine Learning in Biology
Presently a large list of bioinformatics tools and softwares are available which are based on machine learning. The twin of Bioinformatics, called Computational Biology have emerged largely into development of softwares and application using machine learning and deep learning techniques for biological image data analysis.
According to the Science Daily news, biologist are increasingly turning into Data Scientist as Bioinformatics Data Scientist or Genomic Data Scientist. The market of bioinformatics and career needs in bioinformatics is increasing each year. It is predicted that in the near future, there will be a huge need for people having bioinformatics skills.
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