Skip to main content

orthofisher

Project description

Logo

Docs · Report Bug · Request Feature

follow on Twitter


Orthofisher conducts automated and high-throughout identification of a predetermined set of orthologs, which can be used for phylgenomics, gene family copy number determination and more!



Guide

Quick Start
Performance Assessment
FAQ




Quick Start

For detailed instructions on usage and a tutorial, please see the online documentation.


1) Prerequisite

Before installing orthofisher, please first install HMMER3 and add the HMMER to your .bashrc path. For example, my .bashrc has the following:

export PATH=$PATH:/home/steenwj/SOFTWARE/hmmer-3.1b2-linux-intel-x86_64/binaries

2) Install orthofisher

If you are having trouble installing orthofisher, please contact the lead developer, Jacob L. Steenwyk, via email or twitter to get help.


To install via anaconda, execute the follwoing command:

conda install -c jlsteenwyk orthofisher

Visit here for more information: https://anaconda.org/jlsteenwyk/clipkit


To install via pip, execute the follwoing command:

pip install orthofisher

To install from source, execute the follwoing command:

# download
git clone https://github.com/JLSteenwyk/orthofisher.git
# change dir
cd orthofisher/
# install
make install

If you run into software dependency issues, install orthofisher in a virtual environment. To do so, create your virtual environment with the following command:

# create virtual environment
python -m venv .venv
# activate virtual environment
source .venv/bin/activate

Next, install the software using your preferred method above. Thereafter, you will be able to use orthofisher.

To deactivate your virtual environment, use the following command:

# deactivate virtual environment
deactivate

Note, the virtual environment must be activated to use orthofisher.




Performance Assessment

Using 291,604 sequence similarity searches across 1,294 eukaryotic proteomes, the performance of orthofisher was compared to results obtained from BUSCO. Examination of precision, recall, and F-measure revealed the efficacy of orthofisher's approach. More specifically, orthofisher had a recall of 1.0, precision of 0.978195, and an F-measure of 0.988977. Precision is less than 1.0 because priors of expected sequence length and sequence similarity scores--which are not implemented in orthofisher--resulted in more missing genes in the BUSCO pipeline than the orthofisher pipeline.




FAQ


I am having trouble installing orthofisher, what should I do?

Please install orthofisher using a virtual environment as described in the installation instructions. If you are still running into issues after installing in a virtual environment, please contact Jacob L. Steenwyk via email or twitter.




orthofisher is developed and maintained by Jacob Steenwyk

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

orthofisher-0.0.5.tar.gz (9.4 kB view details)

Uploaded Source

Built Distribution

orthofisher-0.0.5-py2.py3-none-any.whl (11.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file orthofisher-0.0.5.tar.gz.

File metadata

  • Download URL: orthofisher-0.0.5.tar.gz
  • Upload date:
  • Size: 9.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for orthofisher-0.0.5.tar.gz
Algorithm Hash digest
SHA256 4edae4d3ae9cf0d1ac40d52215710c6d19bfd8318360de2f7f5424013142b765
MD5 b68a4f431e8ec939fd2f58a63db93a91
BLAKE2b-256 0af0ee1213d2cb9a6037d04871febef88b780fe60182cf43909d18d8eb4f0e0e

See more details on using hashes here.

File details

Details for the file orthofisher-0.0.5-py2.py3-none-any.whl.

File metadata

  • Download URL: orthofisher-0.0.5-py2.py3-none-any.whl
  • Upload date:
  • Size: 11.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for orthofisher-0.0.5-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 42f5d061ab1a16fa4b89b0e046b247f370cb25ec8198941c2387354a8c94a706
MD5 db5eeed51dde3b183ccfeee3f47a6214
BLAKE2b-256 05bc0fed5996ea57f0c57fc91fc477bbd4791c2de63100ca7223d7ed3021b6de

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