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Anna Marie Pyle

dblp:321/4358 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2023
0000-0001-9045-8872ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2 · 2 since 2021

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
2 papers
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics
RNA structure analysis
0.712023
RSCanner: rapid assessment and visualization of RNA structure content · Bioinform. 2023
Bioinformatics and computational biology › structural bioinformatics
nucleic acid structure analysis
0.612022
AMIGOS III: pseudo-torsion angle visualization and motif-based structure comparison of nucleic acids · Bioinform. 2022
Bioinformatics and computational biology › structural bioinformatics › nucleic acid structure analysis
RNA structural bioinformatics
0.212023
RSCanner: rapid assessment and visualization of RNA structure content · Bioinform. 2023

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

heatmap visualization · 0.7molecular visualization · 0.6
YearPublicationVenuePosition
2023 RSCanner: rapid assessment and visualization of RNA structure content
abstract
MOTIVATION: The increasing availability of RNA structural information that spans many kilobases of transcript sequence imposes a need for tools that can rapidly screen, identify, and prioritize structural modules of interest. RESULTS: We describe RNA Structural Content Scanner (RSCanner), an automated tool that scans RNA transcripts for regions that contain high levels of secondary structure and then classifies each region for its relative propensity to adopt stable or dynamic structures. RSCanner then generates an intuitive heatmap enabling users to rapidly pinpoint regions likely to contain a high or low density of discrete RNA structures, thereby informing downstream functional or structural investigation. AVAILABILITY AND IMPLEMENTATION: RSCanner is freely available as both R script and R Markdown files, along with full documentation and test data (https://github.com/pylelab/RSCanner).
Gandhar Mahadeshwar, Rafael de Cesaris Araujo Tavares, Han Wan, Zion R. Perry, Anna Marie Pyle
Bioinform.5
2022 AMIGOS III: pseudo-torsion angle visualization and motif-based structure comparison of nucleic acids
abstract
MOTIVATION: The full description of nucleic acid conformation involves eight torsion angles per nucleotide. To simplify this description, we previously developed a representation of the nucleic acid backbone that assigns each nucleotide a pair of pseudo-torsion angles (eta and theta defined by P and C4' atoms; or eta' and theta' defined by P and C1' atoms). A Java program, AMIGOS II, is currently available for calculating eta and theta angles for RNA and for performing motif searches based on eta and theta angles. However, AMIGOS II lacks the ability to parse DNA structures and to calculate eta' and theta' angles. It also has little visualization capacity for 3D structure, making it difficult for users to interpret the computational results. RESULTS: We present AMIGOS III, a PyMOL plugin that calculates the pseudo-torsion angles eta, theta, eta' and theta' for both DNA and RNA structures and performs motif searching based on these angles. Compared to AMIGOS II, AMIGOS III offers improved pseudo-torsion angle visualization for RNA and faster nucleic acid worm database generation; it also introduces pseudo-torsion angle visualization for DNA and nucleic acid worm visualization. Its integration into PyMOL enables easy preparation of tertiary structure inputs and intuitive visualization of involved structures. AVAILABILITY AND IMPLEMENTATION: https://github.com/pylelab/AMIGOSIII. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Morgan Shine, Anna Marie Pyle
Bioinform.3