Showing 8 of total 8 results (show query)
bioc
DESeq2:Differential gene expression analysis based on the negative binomial distribution
Estimate variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on a model using the negative binomial distribution.
Maintained by Michael Love. Last updated 24 days ago.
sequencingrnaseqchipseqgeneexpressiontranscriptionnormalizationdifferentialexpressionbayesianregressionprincipalcomponentclusteringimmunooncologyopenblascpp
375 stars 16.11 score 17k scripts 115 dependentsbioc
CATALYST:Cytometry dATa anALYSis Tools
CATALYST provides tools for preprocessing of and differential discovery in cytometry data such as FACS, CyTOF, and IMC. Preprocessing includes i) normalization using bead standards, ii) single-cell deconvolution, and iii) bead-based compensation. For differential discovery, the package provides a number of convenient functions for data processing (e.g., clustering, dimension reduction), as well as a suite of visualizations for exploratory data analysis and exploration of results from differential abundance (DA) and state (DS) analysis in order to identify differences in composition and expression profiles at the subpopulation-level, respectively.
Maintained by Helena L. Crowell. Last updated 4 months ago.
clusteringdataimportdifferentialexpressionexperimentaldesignflowcytometryimmunooncologymassspectrometrynormalizationpreprocessingsinglecellsoftwarestatisticalmethodvisualization
67 stars 10.99 score 362 scripts 2 dependentsbioc
GenomicInteractions:Utilities for handling genomic interaction data
Utilities for handling genomic interaction data such as ChIA-PET or Hi-C, annotating genomic features with interaction information, and producing plots and summary statistics.
Maintained by Liz Ing-Simmons. Last updated 5 months ago.
softwareinfrastructuredataimportdatarepresentationhic
7 stars 9.31 score 162 scripts 5 dependentsbioc
Damsel:Damsel: an end to end analysis of DamID
Damsel provides an end to end analysis of DamID data. Damsel takes bam files from Dam-only control and fusion samples and counts the reads matching to each GATC region. edgeR is utilised to identify regions of enrichment in the fusion relative to the control. Enriched regions are combined into peaks, and are associated with nearby genes. Damsel allows for IGV style plots to be built as the results build, inspired by ggcoverage, and using the functionality and layering ability of ggplot2. Damsel also conducts gene ontology testing with bias correction through goseq, and future versions of Damsel will also incorporate motif enrichment analysis. Overall, Damsel is the first package allowing for an end to end analysis with visual capabilities. The goal of Damsel was to bring all the analysis into one place, and allow for exploratory analysis within R.
Maintained by Caitlin Page. Last updated 5 months ago.
differentialmethylationpeakdetectiongenepredictiongenesetenrichment
5.20 score 20 scriptsbioc
epigraHMM:Epigenomic R-based analysis with hidden Markov models
epigraHMM provides a set of tools for the analysis of epigenomic data based on hidden Markov Models. It contains two separate peak callers, one for consensus peaks from biological or technical replicates, and one for differential peaks from multi-replicate multi-condition experiments. In differential peak calling, epigraHMM provides window-specific posterior probabilities associated with every possible combinatorial pattern of read enrichment across conditions.
Maintained by Pedro Baldoni. Last updated 5 months ago.
chipseqatacseqdnaseseqhiddenmarkovmodelepigeneticszlibopenblascppopenmp
4.94 score 88 scriptsbioc
msgbsR:msgbsR: methylation sensitive genotyping by sequencing (MS-GBS) R functions
Pipeline for the anaysis of a MS-GBS experiment.
Maintained by Benjamin Mayne. Last updated 5 months ago.
immunooncologydifferentialmethylationdataimportepigeneticsmethylseq
4.48 score 1 scripts
cran
eggCounts:Hierarchical Modelling of Faecal Egg Counts
An implementation of Bayesian hierarchical models for faecal egg count data to assess anthelmintic efficacy. Bayesian inference is done via MCMC sampling using 'Stan' <https://mc-stan.org/>.
Maintained by Craig Wang. Last updated 1 years ago.
3.00 scorecran
bexy:Visualize and Parse the Output of 'BeXY'
Provides functions for summarizing and plotting the output of the command-line tool 'BeXY' (<https://bitbucket.org/wegmannlab/bexy>), a tool that performs Bayesian inference of sex chromosome karyotypes and sex-linked scaffolds from low-depth sequencing data.
Maintained by Madleina Caduff. Last updated 7 months ago.
1.00 score