Demo Data from EDBT 2026 / reviewers in the wild / expert
Kathryn Lande
dblp:426/1707
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0005-1613-8981ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 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
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › epigenomics › DNA methylation › DNA methylation analysis
bisulfite sequencing |
0.8 | 1 | 2024 | PCBS: an R package for fast and accurate analysis of bisulfite sequencing data · Bioinform. 2024 |
Bioinformatics and computational biology › epigenomics › differential methylation analysis
differentially methylated region detection |
0.8 | 1 | 2024 | PCBS: an R package for fast and accurate analysis of bisulfite sequencing data · Bioinform. 2024 |
Bioinformatics and computational biology › epigenomics › differential methylation analysis
differential methylation detection |
0.8 | 1 | 2024 | PCBS: an R package for fast and accurate analysis of bisulfite sequencing data · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
principal component analysis · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | PCBS: an R package for fast and accurate analysis of bisulfite sequencing dataabstractMOTIVATION: Whole-genome bisulfite sequencing is a powerful tool for analyzing chromatin methylation genome-wide, but analysis of whole-genome bisulfite data is slow, inflexible, and often inaccurate. RESULTS: We developed PCBS (Principal Component BiSulfite), a computationally efficient R package for Whole Genome Bisulfite Sequencing analysis that demonstrates remarkable accuracy and flexibility compared to current tools. PCBS identifies differentially methylated loci, differentially methylated regions, and offers novel functionality that allows for more targeted methylation analyses. PCBS uses minimal computational resources; a complete pipeline in mouse can run on a local RStudio instance in a matter of minutes. AVAILABILITY AND IMPLEMENTATION: PCBS is an R package available under a GNU GPLv3 license on GitHub: https://github.com/katlande/PCBS and CRAN: https://CRAN.R-project.org/package=PCBS. Instructions for use are available at: https://katlande.github.io/PCBS/. Kathryn Lande, April E. Williams |
Bioinform. | 1 |