Improving discrimination of essential genes by modeling local insertion frequencies in transposon mutagenesis data
Abstract
References
Index Terms
- Improving discrimination of essential genes by modeling local insertion frequencies in transposon mutagenesis data
Recommendations
Capturing uncertainty by modeling local transposon insertion frequencies improves discrimination of essential genes
Transposon mutagenesis experiments enable the identification of essential genes in bacteria. Deep-sequencing of mutant libraries provides a large amount of high-resolution data on essentiality. Statistical methods developed to analyze this data have ...
Bayesian analysis of gene essentiality based on sequencing of transposon insertion libraries
Motivation: Next-generation sequencing affords an efficient analysis of transposon insertion libraries, which can be used to identify essential genes in bacteria. To analyse this high-resolution data, we present a formal Bayesian framework for ...
An algorithm for identification of bacterial selenocysteine insertion sequence elements and selenoprotein genes
Motivation: Incorporation of selenocysteine (Sec) into proteins in response to UGA codons requires a cis -acting RNA structure, Sec insertion sequence (SECIS) element. Whereas SECIS elements in Escherichia coli are well characterized, a bacterial ...
Comments
Information & Contributors
Information
Published In
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Qualifiers
- Tutorial
- Research
- Refereed limited
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 67Total Downloads
- Downloads (Last 12 months)2
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in