Skip to main content

A compilation of bioinformatic and computation biology inspired python tools

Project description

mycotools

PURPOSE

Bring the power of broadscale genomic analyses to the masses. Mycotools is a compilation of computational biology tools and database (MycotoolsDB) software designed to increase throughput analyzing fungal genomic data (JGI, NCBI, and user-inputted). MycotoolsDB is a database schema with uniform file curation, scalability, and automation as guiding principles. Installation is as simple as updateDB.py --init <DIR>. Updates assimilate the most recent JGI & NCBI locally via updateDB.py -u. Scalability enables seamless hassle-free transitions from analyses with datasets of 1000s of fungi to as few as 1 or 2 simply by inputting a full database .db file or an extracted .db obtained via extractDB.py.

Mycotools is currently available as a subset of the full suite, excluding the database assimilation tools. MycotoolsDB is not available outside of the Ohio Supercomputer Center until we publish a manuscript using the tools (expected summer 2022). If you are interested in early access, please email konkelzach@protonmail.com.

By integrating with the curated MycotoolsDB, Mycotools aids routine-complex tasks like retrieving gff or fasta accessions; running and compiling fastas of MycotoolsDB BLAST/hmmsearches; biology-based database manipulation tools; automated phylogenetic analysis pipelines from blast to Pfam extraction to tree prediction, etc etc. Mycotools includes sets of utilities that also enable easy acquisition of batches of sequence data using ncbiDwnld.py and jgiDwnld.py.


USAGE

Check out README.md for install and the USAGE.md for a guide.


CITING

If Mycotools contribute to your analysis, please cite this git repository (gitlab.com/xonq/mycotools) and mention the Mycotools version in line.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mycotools-0.9b33.tar.gz (73.5 kB view details)

Uploaded Source

Built Distribution

mycotools-0.9b33-py3-none-any.whl (164.0 kB view details)

Uploaded Python 3

File details

Details for the file mycotools-0.9b33.tar.gz.

File metadata

  • Download URL: mycotools-0.9b33.tar.gz
  • Upload date:
  • Size: 73.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.6.0.post20210108 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.5

File hashes

Hashes for mycotools-0.9b33.tar.gz
Algorithm Hash digest
SHA256 ef08af0b055b7cb3e7e0fcbc3b00791f631dd5d8736afc1210be489777e121ac
MD5 ac5e6a93b1975969795efd84428a6e96
BLAKE2b-256 695679742b1a3f3e6b76c264c3a8c23fe8cad55589846505985a464a1a44495b

See more details on using hashes here.

File details

Details for the file mycotools-0.9b33-py3-none-any.whl.

File metadata

  • Download URL: mycotools-0.9b33-py3-none-any.whl
  • Upload date:
  • Size: 164.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.6.0.post20210108 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.5

File hashes

Hashes for mycotools-0.9b33-py3-none-any.whl
Algorithm Hash digest
SHA256 f679c3e151d5d75634cdab5c6288802b2def016c1557c749ea9822a56f8c1b08
MD5 da77e1de2f2e0ac7929d6405c505b3d6
BLAKE2b-256 a9e4deb78daefb4730b5629cd0f414db38a45863891c1eb17721b4a2feb4648e

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