Portable Python package to process publicly available annotated sets of genes, such as Gene Ontology and Disease Ontologyterms.
Project description
The Annotation Refinery python package consists of functions that process publicly available annotated sets of genes, such as Gene Ontology and Disease Ontology terms.
Configuration files
The Annotation Refinery requires at least two .ini configuration files in the main directory to run:
- A main_config.ini file with the main configuration settings, and
- At least one <species>.ini file, which will contain the locations of the desired annotation files for that species, amon other things. Users can add configuration files in the main directory for as many species as they want the refinery to process.
Optionally, there can also be a secrets.ini file, which stores values like usernames and passwords for access to restricted URLs.
The Main Configuration File
The main configuration file includes settings like the location(s) of the species file(s), where the output of the refinery (the processed genesets) should be loaded to, where annotation files should be downloaded to, and optionally, the location of the secrets file.
[main] SECRETS_FILE: secrets.ini PROCESS_TO: Tribe # All other download folders in this files should be folders within # this root folder [download_folder] BASE_DOWNLOAD_FOLDER: download_files [Tribe parameters] TRIBE_URL: https://tribe.greenelab.com [species files] SPECIES_FILES: human.ini
The Species File(s)
Each species file should contain the URLs of the desired annotation files to be downloaded.
# File for human settings [species_info] SCIENTIFIC_NAME: Homo sapiens TAXONOMY_ID: 9606 SPECIES_DOWNLOAD_FOLDER: download_files/Human # *********************************************** # Below, add as sections the types of annotations # that should be downloaded and processed # *********************************************** [GO] DOWNLOAD: TRUE GO_OBO_URL: ftp://ftp.geneontology.org/go/ontology/obo_format_1_2/gene_ontology.1_2.obo ASSOC_FILE_URL: ftp://ftp.geneontology.org/go/gene-associations/gene_association.goa_human.gz EVIDENCE_CODES: EXP, IDA, IPI, IMP, IGI, IEP TAG_MAPPING_FILE: tag_mapping_files/brenda-gobp-all_mapping.dir.v2.txt GO_ID_COLUMN: 2 GO_NAME_COLUMN: 3 TAG_COLUMN: 1 TAG_FILE_HEADER: TRUE [KEGG] DOWNLOAD: TRUE KEGG_ROOT_URL: http://rest.kegg.jp DB_INFO_URL: /info/kegg SETS_TO_DOWNLOAD: /link/hsa/pathway, /link/hsa/module, /link/hsa/disease SET_INFO_DIR: /get/ # This is the type of gene identifier used by KEGG for this species XRDB: Entrez [DO] DOWNLOAD: TRUE DO_OBO_URL: http://sourceforge.net/p/diseaseontology/code/HEAD/tree/trunk/HumanDO.obo?format=raw MIM2GENE_URL: http://omim.org/static/omim/data/mim2gene.txt GENEMAP_URL: http://data.omim.org/downloads/<SecretKey>/genemap.txt # This is the type of gene identifier used by DO XRDB: Entrez TAG_MAPPING_FILE: tag_mapping_files/tissue-disease_curated-associations.txt DO_ID_COLUMN: 2 DO_NAME_COLUMN: 3 TAG_COLUMN: 1 TAG_FILE_HEADER: TRUE
The Secrets File
The secrets file contains things like usernames and passwords for databases, secret keys for APIs where annotation files will be downloaded from, etc.
[OMIM API secrets] SECRET_KEY: ExampleSecretKey [Tribe secrets] TRIBE_ID: asdf1234 TRIBE_SECRET: qwerty1234 USERNAME: example_username PASSWORD: password
Instructions for getting an OMIM API secret key can be found here: http://omim.org/downloads
Instructions for getting the Tribe secrets can be found here: http://tribe-greenelab.readthedocs.io/en/latest/api.html#creating-new-resources-through-tribe-s-api
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.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size annotation-refinery-1.0.2.tar.gz (36.9 kB) | File type Source | Python version None | Upload date | Hashes View |
Hashes for annotation-refinery-1.0.2.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 64e2b12b315ad3ba05781f614fabafa7ba07e5e63d69f0d7806c294fe8227a8f |
|
MD5 | 1c7dbd44817031233941ce404a8fee81 |
|
BLAKE2-256 | 0f24406739cfe0bde3b2e6a2dbdca25325d48f583bd60415a62b11ba7bf5742d |