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Year:: 2014
Contributor:: Kim, Taesoo (creator); Aluthge, Dilum (creator); Brown University. Undergraduate Teaching and Research Awards (research program); Thompson, William (advisor)
Genre:: posters
Subject:: Adenosine deaminase acting on RNA; ADAR; RNAi; RNA; miRNA; siRNA; RNA editing; DNA; Single nucleotide polymorphism; SNP; Drosophilla; Hidden Markov model; HMM; Pair-HMM; Probability theory; Alignment; BLAST; Computational biology; Bioinformatics
DOI: https://doi.org/10.26300/ys6g-n394

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Abstract:: Accurate prediction of RNA editing sites requires being able to differentiate genuine edit events from single-nucleotide polymorphism (SNP) events and sequencing machine error events. In repetitive regions and regions with complex polymorphisms, this becomes very difficult due to ambiguities regarding the correct alignment. Our work explores probabilistic techniques for overcoming these challenges.

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Kim, Taesoo, and Aluthge, Dilum, "Probabilistic approaches to alignment and SNP-calling in repetitive regions of the drosophilla melanogaster genome" (2014). Summer Research Symposium. Brown Digital Repository. Brown University Library. https://doi.org/10.26300/ys6g-n394

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Summer Research Symposium

Each year, Brown University showcases the research of its undergraduates at the Summer Research Symposium. More than half of the student-researchers are UTRA recipients, while others receive funding from a variety of Brown-administered and national programs and fellowships and go …
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Probabilistic approaches to alignment and SNP-calling in repetitive regions of the drosophilla melanogaster genome