The Molecular Oncology Almanac (MOAlmanac) is a clinical and biological interpretation algorithm and paired knowledge base for precision oncology. The primary objective of MOAlmanac is to identify and associate molecular alterations with therapeutic sensitivity and resistance as well as disease prognosis. This is done for “first-order” genomic alterations -- individual events such as somatic variants, copy number alterations, fusions, and germline -- as well as “second-order” events -- those that are not associated with one single mutation, and may be descriptive of global processes in the tumor such as tumor mutational burden, microsatellite instability, mutational signatures, and whole-genome doubling.
The underlying database of this method is dependent on expert curation of the current body of knowledge on how molecular alterations affect clinical actionability. As the field of precision oncology grows, the quantity of research on how specific alterations affect therapeutic response and patient prognosis expands at an increasing rate. Curating the latest literature and presenting it in an accessible manner increases the abilities of clinicians and researchers alike to rapidly assess the importance of a molecular feature.
This site and version of the database is in active development. You can view our stable, production version of the algorithm and database at: https://moalmanac.org. This major release aims to align with representation standards developed by the Global Alliance for Genomics & Health Genomic Knowledge Standards Work Stream. You can read about our progress, here.
Molecular Oncology Almanac resources
- Molecular Oncology Almanac API - programmatic access to the knowledge base [GitHub].
- Molecular Oncology Almanac Browser - browse the underlying knowledge base [GitHub].
- Molecular Oncology Almanac Database - the knowledge base content and release notes [GitHub].
- All related GitHub repositories can be accessed through the molecular-oncology-almanac GitHub Topic
- Note: We have not yet adapted the interpretation algorithm to this new schema.
Region-specific instances
For bugs, contributions, or questions, reach out to us by email or through the relevant GitHub repositories.
GitHub
If you use the Molecular Oncology Almanac, please cite our publication:
The contents of this knowledge base can be downloaded through the Database's GitHub or the API, particularly the Statements endpoint.