Using bioinformatics to predict the functional impact of SNVs
By Melissa S. Cline, Rachel Karchin. 2011
87 citations recorded by the source corpus.
Subfields: Genetics, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Russ B. Altman
- Emidio Capriotti
- Yana Bromberg
- Burkhard Rost
- Maximilian Hecht
- Mauno Vihinen
- Piero Fariselli
- Pier Luigi Martelli
In Molecular Biology
- Russ B. Altman
- Emidio Capriotti
- Yana Bromberg
- Burkhard Rost
- Mauno Vihinen
- Maximilian Hecht
- Piero Fariselli
- Pier Luigi Martelli
Citations in the corpus
- WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation (2013, background): “Currently dbSNP [6], which is the most comprehensive database of genetic variations, collects ~51.8 million of SNPs. Depending on the region where they occur, SNPs could affect gene expression and function with different mechanisms [7].”
- Variation Interpretation Predictors: Principles, Types, Performance, and Choice (2016, methodology): “Several reviews have been published about prediction methods and their use [Thusberg and Vihinen, 2009; Cline and Karchin, 2011; Capriotti et al., 2012; Peterson et al., 2013], but none of them have covered the full scope of the discussion as done here.”
- News from the protein mutability landscape. (2013, background): “[34] Cline MS, Karchin R.”