Skip to main content

A simple tool designed to visualize the features that distinguish between two groups of ONT data at the site level. It supports two re-squiggle program(tombo and f5c).

Project description

nanoCEM logo

PyPI License

The nanopore current events magnifier (nanoCEM) is a python command line to facilitate the analysis of DNA/RNA modification sites by visualizing statistical features of current events. NanoCEM can be used to showcase high confidence sites and observe the difference based on the modification sample and the low or no modification sample.

It supports two re-squiggle pipeline(Tombo and f5c) and support R9 and R10. If you want to view single read signal or raw signal, Squigualiser is recommended.

Installation

Before pip install, make sure you have installed the samtools(>=1.16) , f5c(>=1.2), slow5tools(>=1.1.0) and minimap2(>=2.17),

conda install samtools=1.16 minimap2 f5c=1.3 slow5tools -c conda-forge -c bioconda

To install the latest nanoCEM

pip install nanoCEM

See our Installation page for details.

To check the version of nanoCEM, run:

pip list | grep nanoCEM

Notes: Additionally, we do not rely on any re-squiggle or eventalign packages. We only need their index files for the sequencing data.

Data release

For the data we used and related commands in our paper, please view our wiki

Documents

Full documentation is available at https://nanocem.readthedocs.io/

Workflow

workflow

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

nanoCEM-0.0.3.9.tar.gz (26.6 kB view details)

Uploaded Source

File details

Details for the file nanoCEM-0.0.3.9.tar.gz.

File metadata

  • Download URL: nanoCEM-0.0.3.9.tar.gz
  • Upload date:
  • Size: 26.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.0

File hashes

Hashes for nanoCEM-0.0.3.9.tar.gz
Algorithm Hash digest
SHA256 9955db436d95458af39179c0101abd72b9f76a4e7e8e3882daf66bc3f20f5d3d
MD5 0be0acc18b74db16b7bead149d21cab6
BLAKE2b-256 551303a9f0cf2f65c0b3287be34db4a28f8affac2460f7320b3d5c458dea0546

See more details on using hashes here.

Supported by

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