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Self Learning of Bioinformatics Online

- Online Learning, Videeo, Webinars, Bioinformatics

Bag om Self Learning of Bioinformatics Online

About the Book The book is a collection of World wide educational and training resources for all levels from novices to advanced practitioners of computational biology. Resources that enhance learning and preparation geared towards a career in computational biology.With the arrival of genomics and genome sequencing projects, biology has been transformed into an incredibly data-rich science. The vast amount of information generated has made computational analysis critical and has increased demand for online web resources. There are thousands of bioinformatics and genomics resources that are free and publicly accessible. However, trying to find the right resource for one's need, and learn how to use the complex features and functions can be difficult. The book provides exhaustive web addresses and links of tools, databases, software etc. with brief description of each developed and available worldwide by reputed Institutions for Research in the areas of Bioinformatics and Biotechnology. It also explores easy ways that one can quickly find and effectively learn how to use resources. It will include a tour of example resources, organized by categories such as Algorithms, Analysis tools, expression resources, genome browsers for General, Eukaryotic and Prokaryotic/Microbial, Literature and text mining resources, and resources focused on nucleotides, proteins, pathways, disease and variation. Latest development on Bioinformatics weblinks, tools, software, videos, online learning materials, webniars, blogs, social media etc. are also recorded. Links to YouTube channels in bioinformatics, existing free video resources, open platforms for problem solving in bioinformatics, active web forums in computing analyses and online resources for learning to code or use a bioinformatics tool, continuing education bioinformatics training programs have been highlighted for comprehensive bioinformatics training and Open Course Ware initiative to meet the present educational and technological demand. The book helps to find right and relevant computational bioscience resources quickly, easily and how to use these independently, effectively and efficiently learn to use a resource for breakthrough research. This unique book presents major developments and trends in bioinformatics web resources and its applications. It is an essential source of reference for high &secondary school, graduate & post graduate students in bioinformatics, computer science, mathematics, statistics, and biological sciences particularly in with online learning initiatives over the past decade that has become increasingly popular. Finally, one can apply a variety of skills to the processing, storage, analysis and modeling of many types of biological data, providing valuable insights into the understanding of complex biological systems and their quantitative data.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781514370193
  • Indbinding:
  • Paperback
  • Sideantal:
  • 108
  • Udgivet:
  • 16. juni 2015
  • Størrelse:
  • 152x229x6 mm.
  • Vægt:
  • 154 g.
  • 2-3 uger.
  • 16. december 2024
På lager
Forlænget returret til d. 31. januar 2025

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Beskrivelse af Self Learning of Bioinformatics Online

About the Book The book is a collection of World wide educational and training resources for all levels from novices to advanced practitioners of computational biology. Resources that enhance learning and preparation geared towards a career in computational biology.With the arrival of genomics and genome sequencing projects, biology has been transformed into an incredibly data-rich science. The vast amount of information generated has made computational analysis critical and has increased demand for online web resources. There are thousands of bioinformatics and genomics resources that are free and publicly accessible. However, trying to find the right resource for one's need, and learn how to use the complex features and functions can be difficult. The book provides exhaustive web addresses and links of tools, databases, software etc. with brief description of each developed and available worldwide by reputed Institutions for Research in the areas of Bioinformatics and Biotechnology. It also explores easy ways that one can quickly find and effectively learn how to use resources. It will include a tour of example resources, organized by categories such as Algorithms, Analysis tools, expression resources, genome browsers for General, Eukaryotic and Prokaryotic/Microbial, Literature and text mining resources, and resources focused on nucleotides, proteins, pathways, disease and variation. Latest development on Bioinformatics weblinks, tools, software, videos, online learning materials, webniars, blogs, social media etc. are also recorded. Links to YouTube channels in bioinformatics, existing free video resources, open platforms for problem solving in bioinformatics, active web forums in computing analyses and online resources for learning to code or use a bioinformatics tool, continuing education bioinformatics training programs have been highlighted for comprehensive bioinformatics training and Open Course Ware initiative to meet the present educational and technological demand. The book helps to find right and relevant computational bioscience resources quickly, easily and how to use these independently, effectively and efficiently learn to use a resource for breakthrough research. This unique book presents major developments and trends in bioinformatics web resources and its applications. It is an essential source of reference for high &secondary school, graduate & post graduate students in bioinformatics, computer science, mathematics, statistics, and biological sciences particularly in with online learning initiatives over the past decade that has become increasingly popular. Finally, one can apply a variety of skills to the processing, storage, analysis and modeling of many types of biological data, providing valuable insights into the understanding of complex biological systems and their quantitative data.

Brugerbedømmelser af Self Learning of Bioinformatics Online