MecCog: a knowledge representation framework for genetic disease mechanism
Author(s) -
Kunal Kundu,
Lindley Darden,
John Moult
Publication year - 2021
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab432
Subject(s) - computer science , schema (genetic algorithms) , notation , mechanism (biology) , ontology , structuring , information retrieval , construct (python library) , representation (politics) , table (database) , world wide web , data mining , programming language , philosophy , arithmetic , mathematics , epistemology , finance , politics , political science , law , economics
Experimental findings on genetic disease mechanisms are scattered throughout the literature and represented in many ways, including unstructured text, cartoons, pathway diagrams and network graphs. Integration and structuring of such mechanistic information greatly enhances its utility.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom