Skip to main content

Robust SNP-based demultiplexing tool

Project description

PyPI version

dropbucket

Robust SNP-based demultiplexing tool designed to accurately assign cells to donors in pooled scRNA-seq, even under extremely unbalanced pooling condition and samples with genetically similar genotypes.

Prerequisites

dropbucket requires the following external tools

  • FreeBayes
  • Vartrix

Installation

dropbucket is available through pypi

pip install dropbucket

Usage

usage: dropbucket [-h] -r REFERENCE -b BAM -c CELLBARCODE -k CLUSTERS -o OUTPUT_DIR

set parameters for demultiplexing

optional arguments:
  -h, --help            show this help message and exit
  -r REFERENCE, --reference REFERENCE
                        reference fasta file
  -b BAM, --bam BAM     possorted_genome_bam file
  -c CELLBARCODE, --cellbarcode CELLBARCODE
                        cell barcode tsv file
  -k CLUSTERS, --clusters CLUSTERS
                        number of clusters
  -o OUTPUT_DIR, --output_dir OUTPUT_DIR
                        directory of output file

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dropbucket-0.1.6.tar.gz (8.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dropbucket-0.1.6-py3-none-any.whl (9.2 kB view details)

Uploaded Python 3

File details

Details for the file dropbucket-0.1.6.tar.gz.

File metadata

  • Download URL: dropbucket-0.1.6.tar.gz
  • Upload date:
  • Size: 8.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.19

File hashes

Hashes for dropbucket-0.1.6.tar.gz
Algorithm Hash digest
SHA256 d36cf448b155b0faed0de7cccec788a1598d6d9686679d72068d91ea67cbbba5
MD5 6cb7c093020bb4bd22731aa246eaa8d8
BLAKE2b-256 1cef1f06b8dec14c41cb7addd7123379597672a5d8794c6dce148ef18d0ae10a

See more details on using hashes here.

File details

Details for the file dropbucket-0.1.6-py3-none-any.whl.

File metadata

  • Download URL: dropbucket-0.1.6-py3-none-any.whl
  • Upload date:
  • Size: 9.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.19

File hashes

Hashes for dropbucket-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 cd780cb9870d52ffe2c1ae9d2bd335b1eb32904617da37f01b9c43cecbd8b83f
MD5 d438f92045441a12de44769b2a6f270c
BLAKE2b-256 04c2a6c07732456ac4c9f426af76b56a77054832a402c776774a43c3f148d201

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page