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Michelle M. Flowers

dblp:143/4915 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › repetitive DNA analysis
inverted repeat detection
0.212014
A MATLAB-based tool for accurate detection of perfect overlapping and nested inverted repeats in DNA sequences · Bioinform. 2014
Bioinformatics and computational biology
sequence analysis
0.212014
A MATLAB-based tool for accurate detection of perfect overlapping and nested inverted repeats in DNA sequences · Bioinform. 2014

Methods — techniques the papers use, named apart from their topics

prime number representation · 0.2cumulative scoring · 0.2
YearPublicationVenuePosition
2014 A MATLAB-based tool for accurate detection of perfect overlapping and nested inverted repeats in DNA sequences
abstract
SUMMARY: Palindromic sequences, or inverted repeats (IRs), in DNA sequences involve important biological processes such as DNA-protein binding, DNA replication and DNA transposition. Development of bioinformatics tools that are capable of accurately detecting perfect IRs can enable genome-wide studies of IR patterns in both prokaryotes and eukaryotes. Different from conventional string-comparison approaches, we propose a novel algorithm that uses a cumulative score system based on a prime number representation of nucleotide bases. We then implemented this algorithm as a MATLAB-based program for perfect IR detection. In comparison with other existing tools, our program demonstrates a high accuracy in detecting nested and overlapping IRs. AVAILABILITY AND IMPLEMENTATION: The source code is freely available on (http://bioinfolab.miamioh.edu/bioinfolab/palindrome.php) CONTACT: [email protected] or [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Sutharzan Sreeskandarajan, Michelle M. Flowers, John E. Karro, Chun Liang
Bioinform.2