DoRIS | Demographic reconstruction via IBD
kandi X-RAY | DoRIS Summary
kandi X-RAY | DoRIS Summary
DoRIS is a Java library. DoRIS has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However DoRIS build file is not available. You can download it from GitHub.
Optimizes the parameters of a demographic model based on identical-by-descent (IBD) segment sharing. See references for details. NOTE: code is gradware. I hope to post a new version soon. Get in touch if you'd like to use a preliminary version.
Optimizes the parameters of a demographic model based on identical-by-descent (IBD) segment sharing. See references for details. NOTE: code is gradware. I hope to post a new version soon. Get in touch if you'd like to use a preliminary version.
Support
Quality
Security
License
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Support
DoRIS has a low active ecosystem.
It has 2 star(s) with 1 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
DoRIS has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of DoRIS is current.
Quality
DoRIS has no bugs reported.
Security
DoRIS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
DoRIS is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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DoRIS releases are not available. You will need to build from source code and install.
DoRIS has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed DoRIS and discovered the below as its top functions. This is intended to give you an instant insight into DoRIS implemented functionality, and help decide if they suit your requirements.
- Main method for testing
- Performs a RMSE search on two proteins
- Runs the maximum likelihood of the grid
- Run a single residue search
- Computes the sharing distribution distribution
- Return the expected length in the given range
- Get the length distribution
- Computes the convolution between two points
- Returns the expected fraction of the parameters
- Determines if the current state is next to another
- Checks if the current state has at least one argument
- Returns true if the current state has at least one value
- Determines if the current state is more than the current interval
- Checks if there is more elements in the current interval
- Check if the current state is next to another interval
- Compute the next set
- Calculates the standard deviation
- Expect that the parameters are expected
- Returns the next set
- Computes the expected fraction
- Computes the expected fraction
- Determines whether this object has at least one value
Get all kandi verified functions for this library.
DoRIS Key Features
No Key Features are available at this moment for DoRIS.
DoRIS Examples and Code Snippets
No Code Snippets are available at this moment for DoRIS.
Community Discussions
No Community Discussions are available at this moment for DoRIS.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install DoRIS
You can download it from GitHub.
You can use DoRIS like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the DoRIS component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use DoRIS like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the DoRIS component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
Support
ppalama AT hsph DOT harvard DOTAGAIN edu.
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