About Anaconda Help Download Anaconda

bioconda / packages

Package Name Access Summary Updated
bioconductor-flowclean public flowClean 2025-04-22
bioconductor-frma public Frozen RMA and Barcode 2025-04-22
bioconductor-frmatools public Frozen RMA Tools 2025-04-22
bioconductor-fccac public functional Canonical Correlation Analysis to evaluate Covariance between nucleic acid sequencing datasets 2025-04-22
bioconductor-rprotobuflib public C++ headers and static libraries of Protocol buffers 2025-04-22
bioconductor-genemeta public MetaAnalysis for High Throughput Experiments 2025-04-22
bioconductor-beachmat public Compiling Bioconductor to Handle Each Matrix Type 2025-04-22
bioconductor-hdf5array public HDF5 datasets as array-like objects in R 2025-04-22
bioconductor-rhdf5lib public hdf5 library as an R package 2025-04-22
bioconductor-flowrepositoryr public FlowRepository R Interface 2025-04-22
bioconductor-gcspikelite public Spike-in data for GC/MS data and methods within flagme 2025-04-22
bioconductor-genvisr public Genomic Visualizations in R 2025-04-22
bioconductor-fishalyser public FISHalyseR a package for automated FISH quantification 2025-04-22
bioconductor-flipflop public Flipflop discovers which isoforms of a gene are expressed in a given sample together with their abundances, based on RNA-Seq read data. It takes an alignment file in SAM format as input. It can also discover transcripts from several samples simultaneously, increasing statistical power. 2025-04-22
compalignp public Compute fractional "identity" between trusted alignment and test alignment. 2025-04-22
lcfit public Likelihood curve fitting by nonlinear least squares. 2025-04-22
chipseq-greylist public Python implementation of GreyListChIP Bioconductor package. 2025-04-22
bioconductor-blima public Tools for the preprocessing and analysis of the Illumina microarrays on the detector (bead) level 2025-04-22
bioconductor-bitseq public Transcript expression inference and differential expression analysis for RNA-seq data 2025-04-22
bioconductor-birte public Expression levels of mRNA molecules are regulated by different processes, comprising inhibition or activation by transcription factors and post-transcriptional degradation by microRNAs. biRte uses regulatory networks of TFs, miRNAs and possibly other factors, together with mRNA, miRNA and other available expression data to predict the relative influence of a regulator on the expression of its target genes. Inference is done in a Bayesian modeling framework using Markov-Chain-Monte-Carlo. A special feature is the possibility for follow-up network reverse engineering between active regulators. 2025-04-22
bioconductor-birta public Bayesian Inference of Regulation of Transcriptional Activity 2025-04-22
bioconductor-biodist public Different distance measures 2025-04-22
bioconductor-beaddatapackr public Compression of Illumina BeadArray data 2025-04-22
bioconductor-badregionfinder public BadRegionFinder: an R/Bioconductor package for identifying regions with bad coverage 2025-04-22
bioconductor-bac public Bayesian Analysis of Chip-chip experiment 2025-04-22

© 2025 Anaconda, Inc. All Rights Reserved. (v4.2.2) Legal | Privacy Policy