INDRA v1.8.0
Setup and dependencies:
- INDRA now supports networkx 2.x
- The Cython version restriction is now removed, and the recommended installation method for pyjnius is through Github
- Extra dependencies for various modules are now given explicitly in setup.py
- Separate configuration module (
indra.config) to manageconfig.inianddb_config.inifiles - Contribution guidelines added
Representation:
- Extensions to keys and hashes used to identify related Statements (
indra.statements) - Statements now implement a
contradictsmethod to find contradictions
Input processors:
- Major improvements and adaptation to changes in Eidos (
indra.sources.eidos), Hume (indra.sources.hume), CWMS (indra.sources.cwms), and SOFIA (indra.sources.sofia) reader inputs - BBN reader renamed to Hume (
indra.sources.hume) - Ontologies for the Eidos, Hume, and CWMS readers are integrated, and grounding information from these sources is represented
- New ISI reader API and processor added (
indra.sources.isi) - New Medscan reader API and processor added (
indra.sources.medscan) - Generalized and refactored SIGNOR input API and processor added (
indra.sources.signor) - BEL resources are now PyBEL compatible and processing defaults to PyBEL, rather than BEL/RDF (
indra.sources.bel) - Imrpoved modification and mutation site extraction, and handling of complex controllers in REACH input processor (
indra.sources.reach) - Bug fixes and improvements in TEES (
indra.sources.tees) and Sparser (indra.sources.sparser) inputs - Broader set of Increase/DecreaseAmount Statements extracted from TRIPS (
indra.sources.trips) - Added robust DRUM reader to use TRIPS/DRUM locally (
indra.sources.trips.drum_reader)
Core assembly modules
- Contradiction finding in Preassembler (
indra.preassembler) - Handling of new
is_oppositerelationship in Statements, HierarchyManager and Preassembler - Generalized reasoning across
isa/partofpaths in HierarchyManager (indra.preassembler.hierarchy_manager) - New Ontology Mapper added (
indra.preassembler.ontology_mapper) - SiteMapper uses cache to speed up sequence access (
indra.preassembler.site_mapper) - Assembly filters now extend across BoundConditions (
indra.tools.assemble_corpus)
Output assemblers
- BMI wrapper implemented for PySB models for integrated simulation in workflows (
indra.assemblers.bmi_wrapper) - CAG Assembler can produce Jupyter-embeddable graphs and TSVs (
indra.assemblers.cag_assembler) - Many generalizations and improvements in PyBEL assembler (
indra.assemblers.pybel_assembler) - Bug fixes and improvements in PySB, SIF, Graph, English, IndexCard and CX assemblers
Literature and database clients:
- NewsAPI client added (
indra.literature.news_api) - Many new functionalities to access content in Elsevier client (
indra.literature.elsevier) - UniProt client (
indra.databases.uniprot_client) extended with protein synonyms; optimizations in resource loading result in faster import times
Resources
- Many resource files updated, including FamPlex (
indra.resources.famplex) - New INDRA JSON schema and documentation added (
indra/resources/statements_schema.json)
Analysis and explanation
- Paths graph is now a separate package, and a dependency of INDRA (https://github.com/johnbachman/paths_graph) and has been removed from
indra.explanation
High-throughput reading and database
- REST API updates and extensions (
db_rest_apiandrest_api) - Separate client and config modules for DB (
indra.db.clientandindra.db.config) - New reading and preassembly managers for DB (
indra.db.reading_manager,indra.db.preassembly_manager) - New statistics module for DB (
indra.db.stats) - New reporting and log analysis functionalities for AWS-based reading (
indra.tools.readingandindra.tools.reading.db_reading) - Extensive improvements to running and managing AWS-based reading jobs (
indra.tools.reading)