dranew
by dranew
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To install packages from this channel, use the channel temporarily with conda or add it to your .condarc file for configured ongoing access. Learn more
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Packages
| Name | Latest Version | Summary | Updated | License |
|---|
| boost_lib | 1.75.0 | Library for boost c++ | Mar 25, 2025 | Boost Software License |
| bcl2fastq | 2.19.0 | bcl2fastq Conversion Software both demultiplexes data and converts BCL files generated by Illumina sequencing systems to standard FASTQ file formats for downstream analysis. | Mar 25, 2025 | — |
| blossomv | 2.04 | Python wrapper for the Blossom V algorithm | Mar 25, 2025 | The code above is licensed for research purposes only. Commercial licensing of Blossom V is available through the UCL Business e-licensing website. |
| pypeliner | 0.6.2 | Library for creating informatic workflows | Mar 25, 2025 | MIT |
| shapeit | 2.r837 | SHAPEIT is a fast and accurate method for estimation of haplotypes (aka phasing) from genotype or sequencing data. | Mar 25, 2025 | Free for Academic Use |
| gsl | 1.16 | — | Mar 25, 2025 | GPL |
| destruct | 0.4.18 | Bioinformatics tool for joint prediction of rearrangement breakpoints from single or multiple tumour samples | Mar 25, 2025 | MIT |
| remixt | 0.5.20 | ReMixT is a tool for joint inference of clone specific segment and breakpoint copy number in whole genome sequencing data | Mar 25, 2025 | MIT |
| citup | 0.1.2 | Clonality inference in multiple tumor samples using phylogeny | Mar 25, 2025 | — |
| hmmcopy_utils | 0.0.1 | Utilities for HMMCopy | Mar 25, 2025 | — |
| pygenes | 0.0.5 | In memory gene database searchable using an interval tree | Mar 25, 2025 | MIT |
| boost_source | 1.60.0 | Source code only for boost c++ | Mar 25, 2025 | Boost Software License |
| samtools | 1.5 | Tools for dealing with SAM, BAM and CRAM files | Mar 25, 2025 | MIT |
| defuse | 0.8.2 | Bioinformatics tool for gene fusion discovery using RNA-Seq data | Mar 25, 2025 | — |
| cplex | 12.5.1 | CPLEX optimization studio | Mar 25, 2025 | IBM |
| destruct_utils | 0.4.22 | Bioinformatics tool for joint prediction of rearrangement breakpoints from single or multiple tumour samples | Mar 25, 2025 | MIT |
| bioconductor-titan | 1.10.0 | Corrects GC and mappability biases for readcounts (i.e. coverage) in non-overlapping windows of fixed length for single whole genome samples, yielding a rough estimate of copy number for furthur analysis. Designed for rapid correction of high coverage whole genome tumour and normal samples. | Mar 25, 2025 | — |
| shapeit4 | 4.2.2 | fast and accurate method for estimation of haplotypes (phasing) | Mar 25, 2025 | MIT |
| single_cell_pipeline | 0.0.3 | Bioinformatics pipeline for single cell analysis | Mar 25, 2025 | — |
| r-reordercluster | 1.0 | Tools for performing the leaf reordering for the dendrogram that preserves the hierarchical clustering result and at the same time tries to group instances from the same class together. | Mar 25, 2025 | GPL (>= 3) |
| r-cowplot | 0.9.1 | Some helpful extensions and modifications to the 'ggplot2' package. In particular, this package makes it easy to combine multiple 'ggplot2' plots into one and label them with letters, e.g. A, B, C, etc., as is often required for scientific publications. The package also provides a streamlined and clean theme that is used in the Wilke lab, hence the package name, which stands for Claus O. Wilke's plot package. | Mar 25, 2025 | GPL-2 |
| bnpy | 8019474 | Bayesian nonparametric machine learning for python. | Mar 25, 2025 | — |
| bioconductor-hmmcopy | 1.12.0 | Corrects GC and mappability biases for readcounts (i.e. coverage) in non-overlapping windows of fixed length for single whole genome samples, yielding a rough estimate of copy number for furthur analysis. Designed for rapid correction of high coverage whole genome tumour and normal samples. | Mar 25, 2025 | — |
| bioconductor-aneufinder | 1.6.0 | This package implements functions for CNV calling, plotting, export and analysis from whole-genome single cell sequencing data. | Mar 25, 2025 | Artistic-2.0 |
| r-ada | 2.0_5 | Performs discrete, real, and gentle boost under both exponential and logistic loss on a given data set. The package ada provides a straightforward, well-documented, and broad boosting routine for classification, ideally suited for small to moderate-sized data sets. | Mar 25, 2025 | GPL |