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bioconda / packages

Package Name Access Summary Updated
phynteny_transformer public Phynteny: Synteny-based prediction of bacteriophage genes. 2025-06-05
perl-file-find-rule public Alternative interface to File::Find. 2025-06-05
hicberg public Statistical profiling based tool for contact data (Hi-C, ChIA-PET, Capture-C, etc.) and genomics data reconstruction 2025-06-05
pacini_typing public YAML-based bacterial genotyping application 2025-06-05
virulencefinder public VirulenceFinder identifies virulence genes in total or partial sequenced isolates of bacteria 2025-06-05
pasta public An implementation of the PASTA (Practical Alignment using Sate and TrAnsitivity) algorithm. 2025-06-05
giatools public Tools required for Galaxy Image Analysis 2025-06-05
metaphlan public Metagenomic Phylogenetic Analysis. 2025-06-04
pretextsnapshot public Commandline image generator for Pretext Hi-C genome contact maps. 2025-06-04
bowtie2 public A fast and sensitive gapped read aligner. 2025-06-03
r-tmae public Tests and visualizations for mono-allelicly expressed variants. 2025-06-03
bcftools-liftover-plugin public Tools to work with GWAS-VCF summary statistics files (liftover plugin only) 2025-06-03
k8 public Lightweight JavaScript shell based on Google's V8 JavaScript engine 2025-06-03
quota_anchor public Strand and WGD aware syntenic gene identification 2025-06-03
iced public The python module iced implements the ICE normalization of hic data. 2025-06-03
rustybam public Mitchell Vollger's bioinformatics rust utilities. 2025-06-03
vqbg public De Novo Reconstruction of Viral Quasispecies from Bubble Graph 2025-06-03
rucs public RUCS is a bioinformatics tool developed to ease the task of designing new primers. 2025-06-03
riboloco public Riboseq analysis. 2025-06-03
transit public TRANSIT 2025-06-02
uniprot-id-mapper public A Python wrapper for the UniProt Mapping RESTful API. 2025-06-02
r-tinc public TINC is a package that implements algorithms to determine the contamination of a bulk sequencing sample in the context of cancer studies (matched tumour/ normal). The contamination estimated by TINC can be either due to normal cells sampled in the tumour biopsy or to tumour cells in the normal biopsy. The former case is traditionally called purity, or cellularity, and a number of tools exist to estimate it. The latter case is less common, and that is the main reason TINC has been developed. For this reason, the package takes name TINC, Tumour-in-Normal contamination. TINC is part of the evoverse, a package that gathers multiple R packages to implement Cancer Evolution analyses. 2025-06-02
longtrack public Track FMT strains using long-read metagenomic assemblies. 2025-06-02
freebayes public Bayesian haplotype-based polymorphism discovery and genotyping. 2025-06-02
diatracer public A diaPASEF spectrum-centric analysis tool 2025-06-02

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