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Package Name Access Summary Updated
r-metama public Combines either p-values or modified effect sizes from different studies to find differentially expressed genes 2024-12-14
bioconductor-minet public Mutual Information NETworks 2024-12-14
cycle_finder public A de novo analysis tool for tandem and interspersed repeats based on cycle-finding 2024-12-14
bioconductor-deqms public a tool to perform statistical analysis of differential protein expression for quantitative proteomics data. 2024-12-14
perl-aceperl public Object-Oriented Access to ACEDB Databases 2024-12-14
greenhill public A de novo chromosomal-level scaffolding and phasing tool using Hi-C 2024-12-14
provean public PROVEAN (Protein Variation Effect Analyzer) is a software tool which predicts whether an amino acid substitution or indel has an impact on the biological function of a protein. 2024-12-14
bioconductor-marray public Exploratory analysis for two-color spotted microarray data 2024-12-14
fec public An error correction tool 2024-12-14
r-mkmisc public Contains several functions for statistical data analysis; e.g. for sample size and power calculations, computation of confidence intervals and tests, and generation of similarity matrices. 2024-12-14
consent public Scalable long read self-correction and assembly polishing with multiple sequence alignment 2024-12-14
bioconductor-alphamissenser public Accessing AlphaMissense Data Resources in R 2024-12-14
bioconductor-ichip public Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models 2024-12-14
bioconductor-methylmix public MethylMix: Identifying methylation driven cancer genes 2024-12-14
bioconductor-limmagui public GUI for limma Package With Two Color Microarrays 2024-12-14
bioconductor-rprotobuflib public C++ headers and static libraries of Protocol buffers 2024-12-14
bioconductor-stattarget public Statistical Analysis of Molecular Profiles 2024-12-14
bioconductor-multiclust public multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles 2024-12-14
bioconductor-icobra public Comparison and Visualization of Ranking and Assignment Methods 2024-12-14
snostrip public Automatic snoRNA annotation pipeline 2024-12-14
r-speaq public Makes Nuclear Magnetic Resonance spectroscopy (NMR spectroscopy) data analysis as easy as possible by only requiring a small set of functions to perform an entire analysis. 'speaq' offers the possibility of raw spectra alignment and quantitation but also an analysis based on features whereby the spectra are converted to peaks which are then grouped and turned into features. These features can be processed with any number of statistical tools either included in 'speaq' or available elsewhere on CRAN. More detail can be found in Vu et al. (2011) <doi:10.1186/1471-2105-12-405> and Beirnaert et al. (2018) <doi:10.1371/journal.pcbi.1006018>. 2024-12-14
pybedgraph public A package for fast operations on 1-dimensional genomic signal tracks 2024-12-14
r-swamp public Collection of functions to connect the structure of the data with the information on the samples. Three types of associations are covered: 1. linear model of principal components. 2. hierarchical clustering analysis. 3. distribution of features-sample annotation associations. Additionally, the inter-relation between sample annotations can be analyzed. Simple methods are provided for the correction of batch effects and removal of principal components. 2024-12-14
bioconductor-gwas.bayes public Bayesian analysis of Gaussian GWAS data 2024-12-14
bioconductor-levi public Landscape Expression Visualization Interface 2024-12-14
bioconductor-hubpub public Utilities to create and use Bioconductor Hubs 2024-12-14
r-ic10 public Implementation of the classifier described in the paper 'Genome-driven integrated classification of breast cancer validated in over 7,500 samples' (Ali HR et al., Genome Biology 2014). It uses copy number and/or expression form breast cancer data, trains a pamr classifier (Tibshirani et al.) with the features available and predicts the iC10 group. 2024-12-14
bioconductor-wrench public Wrench normalization for sparse count data 2024-12-14
mantis_pfa public Consensus-driven protein function annotation tool 2024-12-14
bioconductor-tkwidgets public R based tk widgets 2024-12-14
bioconductor-isocorrectorgui public Graphical User Interface for IsoCorrectoR 2024-12-14
r-cobrar public COnstraint-based Reconstruction and Analysis (COBRA) of metabolic networks in R 2024-12-14
bioconductor-samspectral public Identifies cell population in flow cytometry data 2024-12-14
hla-la public HLA typing from short and long reads 2024-12-14
cpat public Coding Potential Assessment Tool 2024-12-14
bioconductor-beaddatapackr public Compression of Illumina BeadArray data 2024-12-14
fegenie public HMM-based identification and categorization of iron genes and iron gene operons in genomes and metagenomes. 2024-12-14
d4tools public The D4 command line utility program 2024-12-14
metaphyler public No Summary 2024-12-14
trumicount public For NGS experiments using unique molecular identifiers (UMIs), molecules that are lost entirely during sequencing cause under- estimation of the molecule count, and amplification artifacts like PCR chimeras cause over-estimation. TRUmiCount corrects UMI data for both types of errors, thus improving the accuracy of measured molecule counts considerably. 2024-12-14
perl-class-methodmaker public Create generic methods for OO Perl 2024-12-14
d4binding public The C/C++ binding for the D4 file format. 2024-12-14
libmaus2 public Collection of data structures and algorithms for NGS data. 2024-12-14
mykatlas public Assists in discoveries of antibiotic-resistance with mykrobe 2024-12-14
das_tool public Recovery of genomes from metagenomes via a dereplication, aggregation and scoring strategy. 2024-12-14
r-eztune public Contains two functions that are intended to make tuning supervised learning methods easy. The eztune function uses a genetic algorithm or Hooke-Jeeves optimizer to find the best set of tuning parameters. The user can choose the optimizer, the learning method, and if optimization will be based on accuracy obtained through validation error, cross validation, or resubstitution. The function eztune.cv will compute a cross validated error rate. The purpose of eztune_cv is to provide a cross validated accuracy or MSE when resubstitution or validation data are used for optimization because error measures from both approaches can be misleading. 2024-12-14
bioconductor-intramirexplorer public Predicting Targets for Drosophila Intragenic miRNAs 2024-12-14
pybedlite public Lightweight python classes for interfacing with bed intervals 2024-12-14
bioconductor-rbwa public R wrapper for BWA-backtrack and BWA-MEM aligners 2024-12-14
bioconductor-sparsematrixstats public Summary Statistics for Rows and Columns of Sparse Matrices 2024-12-14

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