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HGVS Nomenclature is the lingua franca for presenting sequence variants to humans in databases, scientific literature, and clinical reports. Unfortunately, some implementations of the standard are buggy and/or incomplete. The purpose of this project is to develop an framework for evaluating implementations of HGVS Nomenclature to help users understand the limitations of packages, to help package developers improve their packages, and ultimately to increase the fidelity of data sharing. As a byproduct of the proposed plan, an OpenAPI specification would be developed and, if adopted, enable easier migration between tools.
Community Benefits
The primary beneficiaries of this work would be the users of specific implementations who would be able to make well-informed decisions about gaps or issues. Since these users often work with clinicians, scientists, or adjacent professionals, it is expected that they would develop greater confidence that HGVS variant descriptions and manipulations were being performed consistently.
Required and Desired Skills
Python: very good-excellent
OpenAPI: some experience is ideal
Expected Results / Deliverables
An OpenAPI specification for HGVS Nomenclature variant descriptions and manipulation
A set of classified tests that exercise all aspects of HGVS Nomenclature
A framework for executing/evaluating packages, storing and publishing results, and comparing within and across implementations
Demonstration of the framework using at least one publicly available implementation (ideally more)
Package the project so that it can be used in CI/CD testing and by a public evaluation server
Develop a full-stack app to store and display evaluation results.
Benefits to Intern
This project is well-suited to individuals who have experience with REST interface design and testing methodology. Implementation will be in Python, and applicants should have strong Python skills. Exposure to HGVS and genetic variants is desirable but not required. This project has enormous opportunities to learn and to have significant impact in the scientific community. At a minimum, the intern would:
become familiar with HGVS Nomenclature and some of the challenges when writing standards
learn how to design a REST interface and use it to create a façade over different software packages
develop software architecture skills
This project could be simple, but also offers many avenues for extensions and learning. For example, the student might seek to build a web interface with authentication to store results.
How to apply
Students applying to this project should briefly describe their vision for this project, highlight their existing skills and the skills they would need to learn, and estimate an implementation timeline.
The text was updated successfully, but these errors were encountered:
Summary
HGVS Nomenclature is the lingua franca for presenting sequence variants to humans in databases, scientific literature, and clinical reports. Unfortunately, some implementations of the standard are buggy and/or incomplete. The purpose of this project is to develop an framework for evaluating implementations of HGVS Nomenclature to help users understand the limitations of packages, to help package developers improve their packages, and ultimately to increase the fidelity of data sharing. As a byproduct of the proposed plan, an OpenAPI specification would be developed and, if adopted, enable easier migration between tools.
Community Benefits
The primary beneficiaries of this work would be the users of specific implementations who would be able to make well-informed decisions about gaps or issues. Since these users often work with clinicians, scientists, or adjacent professionals, it is expected that they would develop greater confidence that HGVS variant descriptions and manipulations were being performed consistently.
Required and Desired Skills
Expected Results / Deliverables
Benefits to Intern
This project is well-suited to individuals who have experience with REST interface design and testing methodology. Implementation will be in Python, and applicants should have strong Python skills. Exposure to HGVS and genetic variants is desirable but not required. This project has enormous opportunities to learn and to have significant impact in the scientific community. At a minimum, the intern would:
This project could be simple, but also offers many avenues for extensions and learning. For example, the student might seek to build a web interface with authentication to store results.
How to apply
Students applying to this project should briefly describe their vision for this project, highlight their existing skills and the skills they would need to learn, and estimate an implementation timeline.
The text was updated successfully, but these errors were encountered: