Displaying 1 to 8 from 8 results

Aaron.Core: Make project becomes Standardization and Optimization

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It's a special core be used to help your project become standardization. It provides the standard platform, including core systems, data flows,...

std_json - A proposal for a JSON data type in the C++ standard library

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This repository documents the work on a proposal for JSON support in the C++ standard library. It follows a previous discussion in the std-proposals forum on the topic.It's here.

MolVS - Molecule Validation and Standardization

  •    Python

MolVS is a molecule validation and standardization tool, written in Python using the RDKit chemistry framework. Building a collection of chemical structures from different sources can be difficult due to differing representations, drawing conventions and mistakes. MolVS can standardize chemical structures to improve data quality, help with de-duplication and identify relationships between molecules.




nifty_services - The dead simple services object oriented layer for Ruby applications to give robustness and cohesion back to your code

  •    Ruby

NiftyServices provides a very nifty, simple & clear API to organize and reuse your application domain logic in plain Ruby Services Objects turning your codebase in a very extensible, standardized and reusable components. This gem was designed and conventioned to be used specially with Web API applications, but this is just a convention, you can use it even with shoes (for desktop apps) applications if you want, for example.

memote - memote – the genome-scale metabolic model test suite

  •    HTML

And in order to make this process as easy as possible the generated repository can easily be integrated with continuous integration testing providers such as Travis CI, which means that anytime you push a model change to GitHub, the test suite will be run automatically and a report will be available for you to look at via GitHub pages for your repository. We highly recommend creating a Python virtualenv for your model testing purposes.

benchmarking-tools - Repository for the GA4GH Benchmarking Team work developing standardized benchmarking methods for germline small variant calls

  •    HTML

This repository hosts the work of the Global Alliance for Genomics and Health (GA4GH) Benchmarking Team, which is developing standardized performance metrics and tools for benchmarking germline small variant calls. This Team includes representatives from sequencing technology developers, government agencies, academic bioinformatics researchers, clinical laboratories, and commercial technology and bioinformatics developers. We have worked towards solutions for several challenges faced when benchmarking variant calls, including (1) defining high-confidence variant calls and regions that can be used as a benchmark, (2) developing tools to compare variant calls robust to differing representations, (3) defining performance metrics like false positive and false negative with respect to different matching stringencies, and (4) developing methods to stratify performance by variant type and genome context. We also provide links to our reference benchmarking engines and their implementations, as well as to benchmarking datasets. See doc/standards/ for the current benchmarking standards and definitions.

dev-standards - https://bamtech.gitbooks.io/dev-standards/

  •    Javascript

⚠️ We are in process of migrating all the content to a private gitbook. The public content in this repository will be converted to blog articles for better acessibility. We are mobile developers, based in Paris, working with hybrid and cross platform technologies.