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-0.10b2.tar.gz (87.8 kB view details)

Uploaded Source

Built Distribution

mycotools-0.10b2-py3-none-any.whl (190.1 kB view details)

Uploaded Python 3

File details

Details for the file mycotools-0.10b2.tar.gz.

File metadata

  • Download URL: mycotools-0.10b2.tar.gz
  • Upload date:
  • Size: 87.8 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-0.10b2.tar.gz
Algorithm Hash digest
SHA256 0554808eda99f1f2b652d5080c766856c2905023e4c164ebcc97761fff6b2aba
MD5 c3337ff24c5342774043a7ee93aec5db
BLAKE2b-256 bf85e6946b4c04e92d7c4a4b1c4932255a8b1c077d07532190474497edfc51a4

See more details on using hashes here.

File details

Details for the file mycotools-0.10b2-py3-none-any.whl.

File metadata

  • Download URL: mycotools-0.10b2-py3-none-any.whl
  • Upload date:
  • Size: 190.1 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-0.10b2-py3-none-any.whl
Algorithm Hash digest
SHA256 46e681a1e9c0a39db62d351cb762d8ea846f342f4884757e1c95d93790777fe1
MD5 017c41952545270a8c3a9cc788ba3415
BLAKE2b-256 b4bbfe4ed0f940c425357a5e298ba7fb8ca36e5097a6798d0ea5f83235931234

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