ArticleBioinformatics (Oxford, England)2024
PCBS: an R package for fast and accurate analysis of bisulfite sequencing data.
Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Recent advances on gene-related DNA methylation in cancer diagnosis, prognosis, and treatment: a clinical perspective.Clinical epigenetics · 2025Review
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2 authors.
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Abstract
motivationWhole-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.
resultsWe 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/.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.