Skip to main content

AmpliGone is a tool which accurately removes primer sequences from FastQ NGS reads in an amplicon sequencing experiment

Project description

CodeFactor GitHub release (latest by date including pre-releases) GitHub
Build and release GitHub deployments
install with bioconda

AmpliGone

AmpliGone is a tool which accurately finds and removes primer sequences from NGS reads in an amplicon experiment.

In contrast to a lot of other primer-removal tools, AmpliGone does not actively look for primer sequences within the NGS reads. Instead, reads are trimmed based on primer sequence coordinates in relation to a given reference sequence. Additionally, AmpliGone is able to compensate for, and therefore properly clean, reads that start or end outside of a primer-region as this is a common occurrence in amplicon-based sequencing data.

AmpliGone is build and tested with Nanopore and Illumina data (fastq) in mind and supports 'end-to-end', 'end-to-mid' and 'fragmented' amplicons to be cleaned.
Please see this page to learn more about this terminology.

Installation instructions

AmpliGone can be installed easily with conda or pip. Installation through conda is recommended.

Installation with conda

conda install -c bioconda ampligone

Installation with pip

pip install AmpliGone

Please see the documentation for more information as well as extended installation instructions and usage instructions.

AmpliGone is freely available under the AGPLv3 license.

If you use AmpliGone in your work, please cite us as follows:

Zwagemaker, F., Hajji, K., Raaijmakers, G., Schmitz, D., Kroneman, A. AmpliGone [Computer software]. https://doi.org/10.5281/zenodo.7684307

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

ampligone-2.0.2.tar.gz (233.2 kB view details)

Uploaded Source

Built Distribution

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

ampligone-2.0.2-py3-none-any.whl (49.6 kB view details)

Uploaded Python 3

File details

Details for the file ampligone-2.0.2.tar.gz.

File metadata

  • Download URL: ampligone-2.0.2.tar.gz
  • Upload date:
  • Size: 233.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for ampligone-2.0.2.tar.gz
Algorithm Hash digest
SHA256 89c1678668bf11e719d9a5b70a4b2bc1ec9fef8818700de0f404fe8ddfa73955
MD5 a0bf5ab3d7048ac03b0c04f88cf6d752
BLAKE2b-256 e27de21833f15ad13bfac2523fe28abe5775d8f3e38e80930dee8bd9ebe684f8

See more details on using hashes here.

File details

Details for the file ampligone-2.0.2-py3-none-any.whl.

File metadata

  • Download URL: ampligone-2.0.2-py3-none-any.whl
  • Upload date:
  • Size: 49.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for ampligone-2.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 bdd9b6640c000464bbc1ac3006edf1a3d01e789c3f227e684bdb6223f4b4acdd
MD5 93f1cffac60aabd90ad12003d0a0c824
BLAKE2b-256 74538b9ca88117f49f4e5ec0dfa9ab0a841f26053d2e8ce9eabbbc9f627be167

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