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hvbakel / packages

Package Name Access Summary Updated
r-connectpdb public Database connector functions for PathogenDB and PSP 2026-03-19
scrnaseq-anndata-utils public Utilities for handling scRNAseq AnnData objects. 2026-03-18
scrinvex public SCRINVEX - A Single Cell RNA-Seq QC tool 2025-12-30
amplicon_sorter public Conda package for amplicon_sorter, https://github.com/avierstr/amplicon_sorter. 2025-12-22
cirrocumulus public No Summary 2025-12-22
symphonypy public No Summary 2025-12-21
azimuth-transfer-tool public Azimuth dual-reference transfer with Bioconductor dependency resolution. 2025-12-21
isopropeller public Code for isoPropeller isoform analysis. 2025-11-30
omics-pipelines public Pipelines to analyze different types of genomics data. 2025-08-17
omics-toolkit public Collection of scripts and utilities to analyze various types of 'omics data. 2025-08-17
omics-bintools public Static builds of various bioinformatics utilities. 2025-08-03
omics-ucsc-utils public Static build of kent ucsc-utils. 2025-03-25
omics-splicing public Wrapper scripts for differential splicing analyses. 2025-03-25
omics-megena public Wrapper scripts for megena co-expression network analyses. 2025-03-25
minerva-queue-lsf public Collection of scripts to make it easier to interact with the queueing system on the Icahn School of Medicine 'Minerva' cluster. 2025-03-25
r-dropletqc public This simple R package can be used to calculate a useful QC metric for single cell RNA-seq datasets generated with the 10x Genomics Chromium Single Cell Gene Expression platform: the nuclear fraction score. This score captures, for each input cell barcode, the fraction of RNA that likely originated from unspliced (nuclear) pre-mRNA. Sheared cell membranes from damaged cells in the input cell suspension primarily release cytoplasmic RNA into solution, while the nuclear envelope remains intact. As a result, RNA released from stressed or damaged cells consists mostly of mature cytoplasmic mRNA and is relatively depleted of unspliced nuclear precursor mRNA. This fact can be useful in identifying both; droplets containing only ambient RNA, characterised by a low nuclear fraction score, and damaged cells, which can be identified by a high score. The QC metric is calculated by parsing the input barcoded BAM file for CB and RE flags added by 10x Genomics' Cell Ranger software. 2025-03-25

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