AVIA: An interactive web-server for annotation, visualization and impact analysis of genomic variations
Bioinformatics, ISSN: 1460-2059, Vol: 30, Issue: 7, Page: 1013-1014
2014
- 5Citations
- 41Captures
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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.
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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
- Citations5
- Citation Indexes5
- CrossRef5
- Captures41
- Readers41
- 41
Article Description
Motivation:The plethora of information that emerges from large-scale genome characterization studies has triggered the development of computational frameworks and tools for efficient analysis, interpretation and visualization of genomic data. Functional annotation of genomic variations and the ability to visualize the data in the context of whole genome and/or multiple genomes has remained a challenging task. We have developed an interactive web-based tool, AVIA (Annotation, Visualization and Impact Analysis), to explore and interpret large sets of genomic variations (single nucleotide variations and insertion/deletions) and to help guide and summarize genomic experiments. The annotation, summary plots and tables are packaged and can be downloaded by the user from the email link provided. © 2013 The Author 2013. Published by Oxford University Press. All rights reserved.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84897449819&origin=inward; http://dx.doi.org/10.1093/bioinformatics/btt655; http://www.ncbi.nlm.nih.gov/pubmed/24215028; https://academic.oup.com/bioinformatics/article/30/7/1013/232850; https://dx.doi.org/10.1093/bioinformatics/btt655; http://bioinformatics.oxfordjournals.org/content/30/7/1013; https://academic.oup.com/bioinformatics/article-pdf/30/7/1013/17147279/btt655.pdf; http://bioinformatics.oxfordjournals.org/cgi/doi/10.1093/bioinformatics/btt655; http://bioinformatics.oxfordjournals.org/lookup/doi/10.1093/bioinformatics/btt655; https://academic.oup.com/bioinformatics/article-lookup/doi/10.1093/bioinformatics/btt655
Oxford University Press (OUP)
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