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.

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-1.0.0.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-1.0.0-py3-none-any.whl (9.2 kB view details)

Uploaded Python 3

File details

Details for the file dropbucket-1.0.0.tar.gz.

File metadata

  • Download URL: dropbucket-1.0.0.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-1.0.0.tar.gz
Algorithm Hash digest
SHA256 ba75f828ede8af62298084a2413a4b2ed87f970ed8e8cee2bf0c51eef3f6132e
MD5 160fe9705c0681c0567334d2e7ceebd0
BLAKE2b-256 5c6f7555595402b3ae198dbe3896d3ec2407110a01a07c3f027a004134522f16

See more details on using hashes here.

File details

Details for the file dropbucket-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: dropbucket-1.0.0-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-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 60c2cfc0e085250b2f1e9f09581460fd81fda1372ac603cfceccbdf9dd10313d
MD5 3f82e42260fc54a98d5e14cb93d98bc8
BLAKE2b-256 37c7192d4f5d8c225e707e9777266afc41e7f3db5cf7a3c7aba2dcca80bdb6af

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