Skip to content
Snippets Groups Projects
user avatar
Rudel Fankep authored
37797c97
History

Database Manager

This tool provide the preparation of Databases for several bioinformaticians tools. The preparated databases can be used on the working computer or can be saved on the cloud Server(Amazon Web Service S3) so that other computer can be able to download the data from there. It's also possible to delete some undesirable databases on the working computer and/or in the Cloud.

Supported Databases with associated tools: * Uniprot-Swissprot [Blast, Ghostx] * CARD [Blast, Ghostx] * Pfam [hmmer]

Installation

Prerequisites: * Python (Version >= 3.7) * Git

Install for user::
pip install git+https://git.computational.bio.uni-giessen.de/cfankep/psotdb.git
Install for developer::

#checkout repository git clone git+https://git.computational.bio.uni-giessen.de/cfankep/psotdb.git

#install pip3 install -e .

Using Database Manager

For the general help use::
dbman --help
Checkout which databases are available::

# in the S3 directory dbman list_remote_databases

# in the local directory dbman list_local_databases

Checkout which databases with associated transformations are available::
dbman list_recipes
Prepare databases::
# check the available optional parameters dbman prepare -h # run the standard preparation dbman prepare example/database exemple/tool
Transfer databases from the working computer to s3 Cloud::
# check the available optional parameters dbman upload -h # run the standard transfer dbman upload example/database exemple/tool*
Transfer databases from s3 Cloud to working computer::
# check the available optional parameters dbman download -h # run the standard download dbman download example/database exemple/tool*
Delete undesirable databases::
# from the local directory dbman delete example/database example/tool* local # from the s3 cloud directory dbman delete example/database example/tool* s3
remplace the standard directory to save the data::
# change local directory with the environment variable export DBMAN_DBDIR = example/path # change remote directory with the environment variable export DBMAN_S3DIR = example/path

The standard directories(local and remote) can also be change with optional parameters.

(*) For upload, download and delete of the raw databank instead of 'tool' enter 'raw'.