Skip to main content

Distribution-based OTU calling

Project description

dbotu3 is a new implementation of Sarah Preheim’s dbOTU algorithm. The scope is narrower, the numerical comparisons are faster, and the interface is more user-friendly.

Read the documentation for:

  • a guide to getting started,

  • an explanation of the algorithm, and

  • the API reference.

You can also read our new manuscript for more technical details about the algorithm. The Alm Lab website also has a short page with information.

Installation

dbotu3 is on PyPi and can be installed with pip.

Requirements

Version history

  • 1.1: Corrected error where sequence IDs that could be read as integers would not be found in the table

  • 1.2: Python 2 compatibility, tox test framework, warnings for improperly-formatted sequence count tables

  • 1.2.1: Added setup requirements

To-do

  • Better coverage for unit tests

Author

Scott Olesen / swo at alum.mit.edu

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

dbotu-1.2.1.tar.gz (8.3 kB view details)

Uploaded Source

File details

Details for the file dbotu-1.2.1.tar.gz.

File metadata

  • Download URL: dbotu-1.2.1.tar.gz
  • Upload date:
  • Size: 8.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for dbotu-1.2.1.tar.gz
Algorithm Hash digest
SHA256 d30a4ffd38687268226c79055b28a997756644447e8d6ab5ed5a3b2f733eca7c
MD5 86940bf4fd4d06635ac752b8924e6d4f
BLAKE2b-256 b9648e619218ce31f3ff7f9d239cfa2e818e19b9541ef92819180f7600fca84f

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