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bioconda / packages

Package Name Access Summary Updated
bioconductor-easyrnaseq public Count summarization and normalization for RNA-Seq data 2025-04-22
bioconductor-director public A dynamic visualization tool of multi-level data 2025-04-22
bioconductor-msnid public Utilities for Exploration and Assessment of Confidence of LC-MSn Proteomics Identifications 2025-04-22
bioconductor-epivizrstandalone public Run Epiviz Interactive Genomic Data Visualization App within R 2025-04-22
bioconductor-edda public Experimental Design in Differential Abundance analysis 2025-04-22
bioconductor-epivizr public R Interface to epiviz web app 2025-04-22
bioconductor-encodexplorer public A compilation of ENCODE metadata 2025-04-22
bioconductor-empiricalbrownsmethod public Uses Brown's method to combine p-values from dependent tests 2025-04-22
bioconductor-biocgraph public Graph examples and use cases in Bioinformatics 2025-04-22
bioconductor-epivizrdata public Data Management API for epiviz interactive visualization app 2025-04-22
bioconductor-multiclust public multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles 2025-04-22
bioconductor-epigenomix public Epigenetic and gene transcription data normalization and integration with mixture models 2025-04-22
bioconductor-multiassayexperiment public Software for the integration of multi-omics experiments in Bioconductor 2025-04-22
bioconductor-ctc public Cluster and Tree Conversion. 2025-04-22
bioconductor-epivizrserver public WebSocket server infrastructure for epivizr apps and packages 2025-04-22
bioconductor-eudysbiome public Cartesian plot and contingency test on 16S Microbial data 2025-04-22
bioconductor-esetvis public Visualizations of expressionSet Bioconductor object 2025-04-22
bioconductor-eximir public R functions for the normalization of Exiqon miRNA array data 2025-04-22
bioconductor-exomepeak public The package is developed for the analysis of affinity-based epitranscriptome shortgun sequencing data from MeRIP-seq (maA-seq). It was built on the basis of the exomePeak MATLAB package (Meng, Jia, et al. "Exome-based analysis for RNA epigenome sequencing data." Bioinformatics 29.12 (2013): 1565-1567.) with new functions for differential analysis of two experimental conditions to unveil the dynamics in post-transcriptional regulation of the RNA methylome. The exomePeak R-package accepts and statistically supports multiple biological replicates, internally removes PCR artifacts and multi-mapping reads, outputs exome-based binding sites (RNA methylation sites) and detects differential post-transcriptional RNA modification sites between two experimental conditions in term of percentage rather the absolute amount. The package is still under active development, and we welcome all biology and computation scientist for all kinds of collaborations and communications. Please feel free to contact Dr. Jia Meng <[email protected]> if you have any questions. 2025-04-22
bioconductor-findmyfriends public Microbial Comparative Genomics in R 2025-04-22
bioconductor-pathostat public PathoStat Statistical Microbiome Analysis Package 2025-04-22
bioconductor-flowmatch public Matching and meta-clustering in flow cytometry 2025-04-22
bioconductor-generxcluster public gRx Differential Clustering 2025-04-22
bioconductor-batchqc public Batch Effects Quality Control Software 2025-04-22
bioconductor-geneselector public The term 'GeneSelector' refers to a filter selecting those genes which are consistently identified as differentially expressed using various statistical procedures. 'Selected' genes are those present at the top of the list in various ranking methods (currently 14). In addition, the stability of the findings can be taken into account in the final ranking by examining perturbed versions of the original data set, e.g. by leaving samples, swapping class labels, generating bootstrap replicates or adding noise. Given multiple ranked lists, one can use aggregation methods in order to find a synthesis. 2025-04-22

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