Exomiser
go-feature-flag
Exomiser | go-feature-flag | |
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3 | 9 | |
181 | 1,083 | |
0.0% | - | |
8.9 | 9.8 | |
12 days ago | 5 days ago | |
Java | Go | |
GNU Affero General Public License v3.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Exomiser
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I'm looking for a program to identify disease causing variants in a VCF file
That is not a trivial problem, even when you find a variant that could be causing the phenotype, a lot of evidence and expertise is required to validate that. There is not a single program or platform that can do that for you. But if you want to explore your data, there are VEP and Exomiser tools, but be aware those are not diagnostic tools.
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How to analyze your own raw genetic data for rare diseases/pathogenic markers/worst genes
Enter the Exomiser, an open source cross platform program to analyze your VCF file: https://github.com/exomiser/Exomiser The latest release as of this post is 12.1.0 and can be downloaded here: https://github.com/exomiser/Exomiser/releases/download/12.1.0/exomiser-cli-12.1.0-distribution.zip You also need to download the additional data here except for the hg19.zip: https://data.monarchinitiative.org/exomiser/latest/
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Is there a way to automatically classify variants as pathogenic?
VEP, Exomiser, Gemini, ...
go-feature-flag
- GO Feature Flag is a simple, complete, and lightweight open source self-hosted feature flag solution alternative to Launchdarkly
- [FeatureFlags] Need to rollout a new feature only for a specific set of customers, featureflag is the solution.
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🚀 Announcing GO Feature Flag v1.0.0, get more from your feature flags
Via a GitHub Issue
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Show HN: Go Feature Flag OSS self-hosted feature flag solution launch v1.0.0
- Compatibility with the new standard Open Feature.
All feedback are welcome .
Github: https://github.com/thomaspoignant/go-feature-flag
- Show HN: Go-feature-flag v0.16.0 is released, with fancy rollout of your feature
- Show HN: Go-feature-flag v0.16.0 is released, with new rollout flags configs
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go-feature-flag v0.15.0 is released. This is a Feature flag solution with no complex system to maintain! You can now have fancy way of rollout new features!
I've open an issue to change that https://github.com/thomaspoignant/go-feature-flag/issues/136
- Show HN: Go-feature-flag a simple Golang feature flag solution without back end
- A feature flag solution, with only a YAML file in the backend (S3, GitHub, HTTP, local file ...), no server to install, just add a file in a central system and refer to it. 🎛️
What are some alternatives?
SonarJava - :coffee: SonarSource Static Analyzer for Java Code Quality and Security
unleash - Open-source feature management solution built for developers.
android-classyshark - Android and Java bytecode viewer
consul - Consul is a distributed, highly available, and data center aware solution to connect and configure applications across dynamic, distributed infrastructure.
BioJava - :book::microscope::coffee: BioJava is an open-source project dedicated to providing a Java library for processing biological data.
SFTPGo - Full-featured and highly configurable SFTP, HTTP/S, FTP/S and WebDAV server - S3, Google Cloud Storage, Azure Blob
rare-disease-wf - (WIP) best-practices workflow for rare disease
etcd - Distributed reliable key-value store for the most critical data of a distributed system
DNAnalyzer - Revolutionizing DNA analysis and making it accessible to all through innovative AI-powered analysis and interpretive tools
Trickster - Open Source HTTP Reverse Proxy Cache and Time Series Dashboard Accelerator
Key Transparency - A transparent and secure way to look up public keys.
nsq - A realtime distributed messaging platform