ArticleBMC research notes2019
RepViz: a replicate-driven R tool for visualizing genomic regions.
Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
Abstract
objectiveVisualization of sequencing data is an integral part of genomic data analysis. Although there are several tools to visualize sequencing data on genomic regions, they do not offer user-friendly ways to view simultaneously different groups of replicates. To address this need, we developed a tool that allows efficient viewing of both intra- and intergroup variation of sequencing counts on a genomic region, as well as their comparison to the output of user selected analysis methods, such as peak calling.
resultsWe present an R package RepViz for replicate-driven visualization of genomic regions. With ChIP-seq and ATAC-seq data we demonstrate its potential to aid visual inspection involved in the evaluation of normalization, outlier behavior, detected features from differential peak calling analysis, and combined analysis of multiple data types. RepViz is readily available on Bioconductor ( https://www.bioconductor.org/packages/devel/bioc/html/RepViz.html ) and on Github ( https://github.com/elolab/RepViz ).
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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 OpenQuestion graph.