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Glennis Logsdon

dblp:358/4948 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
—ORCID · none

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 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › epigenomics › DNA methylation
DNA methylation analysis
0.812024
Identification and annotation of centromeric hypomethylated regions with CDR-Finder · Bioinform. 2024
Bioinformatics and computational biology
epigenomics
0.812024
Identification and annotation of centromeric hypomethylated regions with CDR-Finder · Bioinform. 2024
Bioinformatics and computational biology
genomics
0.812024
Identification and annotation of centromeric hypomethylated regions with CDR-Finder · Bioinform. 2024
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly validation
0.712023
GAVISUNK: genome assembly validation via inter-SUNK distances in Oxford Nanopore reads · Bioinform. 2023
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
misassembly detection
0.712023
GAVISUNK: genome assembly validation via inter-SUNK distances in Oxford Nanopore reads · Bioinform. 2023
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly
0.212023
GAVISUNK: genome assembly validation via inter-SUNK distances in Oxford Nanopore reads · Bioinform. 2023
Bioinformatics and computational biology › sequence analysis
long-read sequencing
0.212023
GAVISUNK: genome assembly validation via inter-SUNK distances in Oxford Nanopore reads · Bioinform. 2023

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

long-read sequencing · 0.8k-mer distance analysis · 0.7
YearPublicationVenuePosition
2024 Identification and annotation of centromeric hypomethylated regions with CDR-Finder
abstract
MOTIVATION: Centromeres are chromosomal regions historically understudied with sequencing technologies due to their repetitive nature and short-read mapping limitations. However, recent improvements in long-read sequencing allow for the investigation of complex regions of the genome at the sequence and epigenetic levels. RESULTS: Here, we present Centromere Dip Region (CDR)-Finder: a tool to identify regions of hypomethylation within the centromeres of high-quality, contiguous genome assemblies. These regions are typically associated with a unique type of chromatin containing the histone H3 variant CENP-A, which marks the location of the kinetochore. CDR-Finder identifies the CDRs in large and short centromeres and generates a BED file indicating the location of the CDRs within the centromere. It also outputs a plot for visualization, validation, and downstream analysis. AVAILABILITY AND IMPLEMENTATION: CDR-Finder is available at https://github.com/EichlerLab/CDR-Finder.
Francesco Kumara Mastrorosa, Keisuke Oshima, Allison N. Rozanski, William T. Harvey, Evan E. Eichler, Glennis Logsdon
Bioinform.6
2023 GAVISUNK: genome assembly validation via inter-SUNK distances in Oxford Nanopore reads
abstract
MOTIVATION: Highly contiguous de novo phased diploid genome assemblies are now feasible for large numbers of species and individuals. Methods are needed to validate assembly accuracy and detect misassemblies with orthologous sequencing data to allow for confident downstream analyses. RESULTS: We developed GAVISUNK, an open-source pipeline that detects misassemblies and produces a set of reliable regions genome-wide by assessing concordance of distances between unique k-mers in Pacific Biosciences high-fidelity assemblies and raw Oxford Nanopore Technologies reads. AVAILABILITY AND IMPLEMENTATION: GAVISUNK is available at https://github.com/pdishuck/GAVISUNK. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Philip C. Dishuck, Allison N. Rozanski, Glennis Logsdon, David Porubsky, Evan E. Eichler
Bioinform.3