Memes: A motif analysis environment in R using tools from the MEME Suite
PLoS Computational Biology, ISSN: 1553-7358, Vol: 17, Issue: 9, Page: e1008991
2021
- 46Citations
- 68Captures
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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
- Citations46
- Citation Indexes46
- 46
- Captures68
- Readers68
- 68
Article Description
Identification of biopolymer motifs represents a key step in the analysis of biological sequences. The MEME Suite is a widely used toolkit for comprehensive analysis of biopolymer motifs; however, these tools are poorly integrated within popular analysis frameworks like the R/Bioconductor project, creating barriers to their use. Here we present memes, an R package that provides a seamless R interface to a selection of popular MEME Suite tools. memes provides a novel “data aware” interface to these tools, enabling rapid and complex discriminative motif analysis workflows. In addition to interfacing with popular MEME Suite tools, memes leverages existing R/Bioconductor data structures to store the multidimensional data returned by MEME Suite tools for rapid data access and manipulation. Finally, memes provides data visualization capabilities to facilitate communication of results. memes is available as a Bioconductor package at https://bioconductor.org/packages/memes, and the source code can be found at github.com/snystrom/memes.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85118097653&origin=inward; http://dx.doi.org/10.1371/journal.pcbi.1008991; http://www.ncbi.nlm.nih.gov/pubmed/34570758; https://dx.plos.org/10.1371/journal.pcbi.1008991; https://dx.doi.org/10.1371/journal.pcbi.1008991; https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008991
Public Library of Science (PLoS)
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