Bioinformatics Tools and Software
Advances in Bioinformatics, Page: 15-35
2021
- 7Citations
- 12Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
Bioinformatics or computational biology is a rapidly evolving field of science. Genome sequences of various organisms are routinely being deposited in biological databases owing to the availability of next generation sequencing (NGS). With an increasing amount of biological data being produced through different research projects, interpretation and analysis becomes very much essential to carry out meaningful functional and structural studies of nucleic acids and protein sequences. Various tools and software have been designed to perform such complex analysis. This chapter focuses on the different tools and software used in bioinformatics for the purpose of sequence submission, sequence retrieval, structure submission, sequence analysis, and structure prediction. The chapter highlights sequence submission tools like BanqIt, SPIN, WEBIN, Sequin, Sakura, structure submission tools like ADIT, pdb_extract, etc., and sequence retrieval tools such as SRS, Entrez, Getentry. Further, tools for sequence analysis like BLAST, CLUSTALW/X, and structure prediction tools such as SWISS-MODEL, Modeller, JPred, 3D-Jigsaw, and ModBase have been discussed in detail.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85123982884&origin=inward; http://dx.doi.org/10.1007/978-981-33-6191-1_2; https://link.springer.com/10.1007/978-981-33-6191-1_2; https://dx.doi.org/10.1007/978-981-33-6191-1_2; https://link.springer.com/chapter/10.1007/978-981-33-6191-1_2
Springer Science and Business Media LLC
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