Skip to main content

gocamgen

Base repo for constructing GO-CAM model RDF

Installation

pip install gocamgen

Tests

python3 test_gocamgen.py

Usage

from gocamgen.gocamgen import GoCamModel

model = GoCamModel("model title")
model.declare_class("PomBase:SPBC12C2.02c")
uri_a = model.declare_individual("GO:0016757")
uri_b = model.declare_individual("PomBase:SPBC12C2.02c")
axiom = model.add_axiom(uri_a, URIRef(expand_uri("RO:0002333")), uri_b)
model.add_evidence(axiom, "EXP", "PMID:1234567")

model.write("output_file.ttl")

Quick generation of models from GPAD

Specify source GPAD file. All possible models will be generated and exported to .ttl.

python3 gen_models_by_gene.py --gpad_file wb.gpad

Additionally, a gene product identifier can be specified to only translate and export that GP's model.

python3 gen_models_by_gene.py --gpad_file wb.gpad --specific_gene WB:WBGene00004055

In general, annotation lines will be grouped by gene product identifier (col 2) with some lines filtered out due to various evidence code/reference rules.

Generating annotation extensions usage spreadsheet

To be clear, this creates a spreadsheet aggregating all extensions "patterns" (e.g. happens_during(GO:P), positively_regulates(GO:P)) that are decided to be invalid according to the rules currently encoded in this same script. These same rules are used by the model generation import.

Example to generate spreadsheet from one GPAD file:

python3 gpad_extensions_mapper.py --filename wb.gpad --out_file bad_extensions.tsv

Example to generate spreadsheet (results compiled into one .tsv) from directory of GPADs:

python3 gpad_extensions_mapper.py --dir gpad_files/ --out_file bad_extensions.tsv

Snippet from created spreadsheet:

Aspect Total count Extension UniProt WB ParkinsonsUK-UCL
F 2 happens_during(GO:P),happens_during(WBls) 2 0 0
F 2 happens_during(WBls) 0 2 0
F 4 regulates_activity_of(geneID) 0 4 0
F 1 occurs_in(WBbt),part_of(GO:P) 1 0 0
F 3 occurs_in(WBbt) 2 1 0
F 1 activated_by(geneID) 0 1 0

Drilling down to offending GPAD lines "by extension pattern"

If you'd like to get the actual GPAD containing the invalid extension pattern, just copy-paste the pattern into the --pattern option and rerun on the same GPAD(s):

python3 gpad_extensions_mapper.py --filename wb.gpad --pattern "regulates_activity_of(geneID)"

By default this will output the lines to a [pattern].gpad file like regulates_activity_of(geneID).gpad but this can be overidden with --pattern_outfile. There's also an option for running multiple patterns at once by plugging the path to a newline-separated list of patterns into the --pattern_sourcefile, which then creates multiple GPAD files named after each pattern.

Metadata

Release files for gocamgen 0.0.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gocamgen 0.0.5
File Size Uploaded Provenance Actions
gocamgen-0.0.5.tar.gz 28.6 kB Without provenance Details for gocamgen-0.0.5.tar.gz

Release files / gocamgen-0.0.5.tar.gz

Download URL gocamgen-0.0.5.tar.gz
Size 28.6 kB
Tags Source
SHA-256 checksum
How to use checksums
715f4959077bf7dd44f34cd82e40609b5c87a06b5820f4d706cb57ecf56069aa
BLAKE2b-256 checksum
How to use checksums
8c3b42fedad038748148f8f27e9565da6d06c606376523a37a08d5b7c84bb34b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.6.5

Security for gocamgen 0.0.5

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page