FAMSA | scale multiple sequence alignments ( 3M protein sequences | Machine Learning library

 by   refresh-bio C Version: v2.2.2 License: GPL-3.0

kandi X-RAY | FAMSA Summary

kandi X-RAY | FAMSA Summary

FAMSA is a C library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. FAMSA has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Algorithm for large-scale multiple sequence alignments (400k proteins in 2 hours and 8BG of RAM). NOTE: In experimental branch one can find the latest FAMSA version with updates and experimental features.
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              FAMSA has a low active ecosystem.
              It has 117 star(s) with 25 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 8 open issues and 22 have been closed. On average issues are closed in 214 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of FAMSA is v2.2.2

            kandi-Quality Quality

              FAMSA has no bugs reported.

            kandi-Security Security

              FAMSA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              FAMSA is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              FAMSA releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            FAMSA Key Features

            No Key Features are available at this moment for FAMSA.

            FAMSA Examples and Code Snippets

            No Code Snippets are available at this moment for FAMSA.

            Community Discussions

            Trending Discussions on FAMSA

            QUESTION

            Simple "[]" conditional
            Asked 2021-Apr-06 at 11:44

            So I have one data frame with multiple columns, a good chunk of those columns are dichotomous variables of whether each case belongs to a certain group, said columns are the result of running %in% to turn them into a logical test and then codded into 0s and 1s. I ended up with only one of those columns with 1 per row, now I want create a category based on whether the row has a 1 or not. Why's my code not working (or very slow, it just seems stuck).

            ...

            ANSWER

            Answered 2021-Apr-06 at 11:44

            It is not entirely clear what you're trying to do. From your code it seems like you're trying to overwrite the value in SECTOR, with the ones indicated by the different sector columns (A guess based on their names).

            Basically the problem here is that you are not performing any assignment. For example

            Source https://stackoverflow.com/questions/66967310

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install FAMSA

            FAMSA comes with a set of precompiled binaries for Windows, Linux, and OS X. They can be found under Releases tab. Starting from 1.5.0 version there is no support of GPU in FAMSA. Use one of the previous releases if you need that feature.
            Visual Studio 2015 solution for Windows,
            MAKE project (G++ 4.8 required) for Linux and OS X.
            STATIC_LINK - enable static linking (default: false); may be helpful when binary portability is desired,
            NO_AVX - prevent from using AVX and AVX2 extensions (default: false),
            NO_AVX2 - prevent from using AVX2 extensions (default: false),

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/refresh-bio/FAMSA.git

          • CLI

            gh repo clone refresh-bio/FAMSA

          • sshUrl

            git@github.com:refresh-bio/FAMSA.git

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