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-0.11b23.tar.gz (89.5 kB view details)

Uploaded Source

Built Distribution

mycotools-0.11b23-py3-none-any.whl (193.1 kB view details)

Uploaded Python 3

File details

Details for the file mycotools-0.11b23.tar.gz.

File metadata

  • Download URL: mycotools-0.11b23.tar.gz
  • Upload date:
  • Size: 89.5 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-0.11b23.tar.gz
Algorithm Hash digest
SHA256 dfaf12d52359a620c447975140f901c93c203e573ee638be1e9e8550ebed92a1
MD5 1ae0daf8aa11c233400afbbe85af0704
BLAKE2b-256 00135a967942cfcb991faef12690c54fb0c879314ded7de6d43b1a6061a7d063

See more details on using hashes here.

File details

Details for the file mycotools-0.11b23-py3-none-any.whl.

File metadata

  • Download URL: mycotools-0.11b23-py3-none-any.whl
  • Upload date:
  • Size: 193.1 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-0.11b23-py3-none-any.whl
Algorithm Hash digest
SHA256 9aff8025e575b7576d254a3491d84d2df742021104336263daf1abe865292856
MD5 18e59ab498251fa218ec85aff91bb7c8
BLAKE2b-256 b2f0a12481bd714fddeb02aaf17e3bcb1b7c19d8e4b94f977641494607496a0c

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