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bioconda / packages

Package Name Access Summary Updated
bioconductor-flowfit public Estimate proliferation in cell-tracking dye studies 2025-03-25
bioconductor-cytodx public Robust prediction of clinical outcomes using cytometry data without cell gating 2025-03-25
bioconductor-chrogps public chroGPS2: Generation, visualization and differential analysis of epigenome maps 2025-03-25
bioconductor-chic public Quality Control Pipeline for ChIP-Seq Data 2025-03-25
bioconductor-rforproteomics public Companion package to the 'Using R and Bioconductor for proteomics data analysis' publication 2025-03-25
bioconductor-msmstests public LC-MS/MS Differential Expression Tests 2025-03-25
bioconductor-dapardata public Data accompanying the DAPAR and Prostar packages 2025-03-25
bioconductor-categorycompare public Meta-analysis of high-throughput experiments using feature annotations 2025-03-25
bioconductor-immunespacer public A Thin Wrapper around the ImmuneSpace Data and Tools Portal 2025-03-25
bioconductor-bioseqclass public Classification for Biological Sequences 2025-03-25
bioconductor-tfarm public Transcription Factors Association Rules Miner 2025-03-25
bioconductor-openprimerui public Shiny Application for Multiplex PCR Primer Design and Analysis 2025-03-25
bioconductor-openprimer public Multiplex PCR Primer Design and Analysis 2025-03-25
bioconductor-sevenbridges public Seven Bridges Platform API Client and Common Workflow Language Tool Builder in R 2025-03-25
r-jackstraw public Test for association between the observed data and their systematic patterns of variations. Systematic patterns may be captured by latent variables using principal component analysis (PCA), factor analysis (FA), and related methods. The jackstraw enables statistical testing for association between observed variables and latent variables, as captured by PCs or other estimates. Similarly, unsupervised clustering, such as K-means clustering, partition around medoids (PAM), and others, finds subpopulations among the observed variables. The jackstraw estimates statistical significance of cluster membership, including unsupervised evaluation of cell identities in single cell RNA-seq. P-values and posterior probabilities allows one to rigorously evaluate the strength of cluster membership assignments. 2025-03-25
r-enrichr public Provides an R interface to all 'Enrichr' databases, a web-based tool for analysing gene sets and returns any enrichment of common annotated biological functions. <http://amp.pharm.mssm.edu/Enrichr/>. 2025-03-25
r-clvalid public Statistical and biological validation of clustering results. 2025-03-25
bioconductor-zebrafishrnaseq public Zebrafish RNA-Seq Experimental Data from Ferreira et al. (2014) 2025-03-25
bioconductor-ygs98frmavecs public This package was created by frmaTools version 1.19.3 and hgu133ahsentrezgcdf version 19.0.0. 2025-03-25
bioconductor-yeastrnaseq public Yeast RNA-Seq Experimental Data from Lee et al. 2008 2025-03-25
bioconductor-yeastnagalakshmi public Yeast genome RNA sequencing data based on Nagalakshmi et. al. 2025-03-25
bioconductor-yeastgsdata public Yeast Gold Standard Data 2025-03-25
bioconductor-wes.1kg.wugsc public Whole Exome Sequencing (WES) of chromosome 22 401st to 500th exon from the 1000 Genomes (1KG) Project by the Washington University Genome Sequencing Center (WUGSC). 2025-03-25
bioconductor-wavetilingdata public waveTiling Example Data 2025-03-25
bioconductor-vulcandata public VirtUaL ChIP-Seq data Analysis using Networks, dummy dataset 2025-03-25

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