Mining for Biosynthetic Gene Clusters in Actinobacteria Genomes Via Bioinformatics Tools
Actinobacteria: Microbiology to Synthetic Biology, Page: 121-134
2022
- 6Captures
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.
Metrics Details
- Captures6
- Readers6
Book Chapter Description
Genome mining using next-generation sequencing (NGS) technologies and bioinformatics tools opens the way to understand secondary metabolite biosynthesis potentials of Actinobacteria. Reads of different lengths are produced using technologies like Illumina, Ion Torrent, PacBio, and ONT. These reads are used to reconstruct the original genome using Metagenomic assembly approaches. Genome annotation then detects the coding loci and identifies their protein products. Many in silico genome mining softwares allow the identification of secondary metabolites biosynthetic gene clusters (smBGCs) as well as detection of unique genes. These novel technologies will allow the production of new bioactive compounds.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85159406150&origin=inward; http://dx.doi.org/10.1007/978-981-16-5835-8_7; https://link.springer.com/10.1007/978-981-16-5835-8_7; https://dx.doi.org/10.1007/978-981-16-5835-8_7; https://link.springer.com/chapter/10.1007/978-981-16-5835-8_7
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know