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Package Name Access Summary Updated
bioconductor-ogsa public Outlier Gene Set Analysis 2025-04-22
bioconductor-occugene public Functions for Multinomial Occupancy Distribution 2025-04-22
bioconductor-nudge public Package for normalizing microarray data in single and multiple replicate experiments and fitting a normal-uniform mixture to detect differentially expressed genes in the cases where the two samples are being compared directly or indirectly (via a common reference sample) 2025-04-22
bioconductor-nucler public Nucleosome positioning package for R 2025-04-22
bioconductor-nucleosim public Generate synthetic nucleosome maps 2025-04-22
bioconductor-ntw public Predict gene network using an Ordinary Differential Equation (ODE) based method 2025-04-22
bioconductor-npgsea public Permutation approximation methods for gene set enrichment analysis (non-permutation GSEA) 2025-04-22
bioconductor-nnnorm public Spatial and intensity based normalization of cDNA microarray data based on robust neural nets 2025-04-22
bioconductor-netbiov public A package for visualizing complex biological network 2025-04-22
bioconductor-nem public (Dynamic) Nested Effects Models and Deterministic Effects Propagation Networks to reconstruct phenotypic hierarchies 2025-04-22
bioconductor-ncigraph public Pathways from the NCI Pathways Database 2025-04-22
bioconductor-myvariant public Accesses MyVariant.info variant query and annotation services 2025-04-22
bioconductor-mzid public An mzIdentML parser for R 2025-04-22
bioconductor-mvgst public mvGST provides platform-independent tools to identify GO terms (gene sets) that are differentially active (up or down) in multiple contrasts of interest. Given a matrix of one-sided p-values (rows for genes, columns for contrasts), mvGST uses meta-analytic methods to combine p-values for all genes annotated to each gene set, and then classify each gene set as being significantly more active (1), less active (-1), or not significantly differentially active (0) in each contrast of interest. With multiple contrasts of interest, each gene set is assigned to a profile (across contrasts) of differential activity. Tools are also provided for visualizing (in a GO graph) the gene sets classified to a given profile. 2025-04-22
bioconductor-mvcclass public Model-View-Controller (MVC) Classes 2025-04-22
bioconductor-multiscan public R package for combining multiple scans 2025-04-22
bioconductor-multimed public Testing multiple biological mediators simultaneously 2025-04-22
bioconductor-mulcom public Calculates Mulcom test 2025-04-22
bioconductor-multidataset public Implementation of MultiDataSet and ResultSet 2025-04-22
bioconductor-mpfe public Estimation of the amplicon methylation pattern distribution from bisulphite sequencing data 2025-04-22
bpp-core public Bio++ is a set of C++ libraries for Bioinformatics. 2025-04-22
bioconductor-mops public MoPS - Model-based Periodicity Screening 2025-04-22
bioconductor-mmnet public This package gives the implementations microbiome metabolic network constructing and analyzing. It introduces a unique metagenomic systems biology approach, mapping metagenomic data to the KEGG global metabolic pathway and constructing a systems-level network. The system-level network and the next topological analysis will be of great help to analysis the various functional properties, including regulation and metabolic functionality of the metagenome. 2025-04-22
bioconductor-mlp public Mean Log P Analysis 2025-04-22
bioconductor-mirsynergy public Mirsynergy 2025-04-22

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