megahit | Ultra-fast and memory-efficient genome assembler | Genomics library

 by   voutcn C++ Version: v1.2.9 License: GPL-3.0

kandi X-RAY | megahit Summary

kandi X-RAY | megahit Summary

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

[codecov] MEGAHIT is an ultra-fast and memory-efficient NGS assembler. It is optimized for metagenomes, but also works well on generic single genome assembly (small or mammalian size) and single-cell assembly.
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              megahit has a low active ecosystem.
              It has 474 star(s) with 130 fork(s). There are 36 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 86 open issues and 233 have been closed. On average issues are closed in 67 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of megahit is v1.2.9

            kandi-Quality Quality

              megahit has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              megahit 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

              megahit releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            megahit Key Features

            No Key Features are available at this moment for megahit.

            megahit Examples and Code Snippets

            No Code Snippets are available at this moment for megahit.

            Community Discussions

            QUESTION

            CalledProcessError in Snakemake
            Asked 2020-Oct-20 at 08:16

            I have a rule to run megahit genome assembler in my Snakemake pipeline:

            ...

            ANSWER

            Answered 2020-Oct-20 at 08:16

            "Output directory assembled_megahit already exists, please change the parameter -o to another value to avoid overwriting" even though I've deleted that directory before I run my Snakefile.

            I believe snakemake creates the necessary directory tree for output files before executing the run directive. So you get the error even if you delete the output directory before running snakemake.

            I think you can fix it with something like:

            Source https://stackoverflow.com/questions/64417434

            QUESTION

            Combination of inputs in the snakemake shell script
            Asked 2020-Mar-26 at 16:29

            I have the below bash script that I would like to convert into a snakefile:

            ...

            ANSWER

            Answered 2020-Mar-26 at 16:29

            Firstly you don't need an expand in your input. This is needed if you wish to create a list of filenames that have the same pattern.

            Next, as long as you already use Unix-type slash in your paths, you may add the RESULTS_DIR into f-strings for readability (but don't forget to double the braces for wildcards).

            Finally, there is no need in having a pipeline of scripts separated with &&: that is what Snakemake is designed for.

            My version of reworked script:

            Source https://stackoverflow.com/questions/60854079

            QUESTION

            ggplot2 colour appears in grey and not with colour
            Asked 2018-Apr-12 at 20:01

            so i have this data eight_gen_scatter:

            ...

            ANSWER

            Answered 2018-Apr-12 at 20:01

            THis code below works perfectly for me. I don't understand why did you add "scale_fill_discrete()"? Do you want to change the order of items in the legend?

            The legend will be added automatically since you set "fill= Programas". So you don't need extra code.

            ggplot(df, aes(x = variable, y = value, fill= Programas)) + geom_bar(stat = "identity", position = "dodge")

            Source https://stackoverflow.com/questions/49802094

            QUESTION

            Graphic with ggplot2, one categorical variable and four numeric
            Asked 2018-Feb-17 at 07:47

            i'm trying to replicate a graphic from excel in R, but with ggplot2. However i haven't found a way to do it, even using melt or other functions, i can't figure out a way to represent all my data. By the way can you help me with the code that i need to use to take it from excel and do the graphic directly, 'cause when i tried to copy with read.table the first column it's not taken as the X axis as i would like to, so i just try to copy all the columns as independt variables and then make it a data frame. But i would take me a lot of time since i have like 30 tables. Please let me now how to do it.

            This is my data and the graphic i would like to replicate:

            ...

            ANSWER

            Answered 2018-Feb-17 at 02:30

            Do not despair. Step by step. And great that you are starting to use R :) You need some basic reading, that's for sure. But here some advice. First, make your example reproducible so that we only need to copy paste it. Meaning complete with assignment operator. A good way to import your data into R is to save your excel as .csv and then import this csv with read.csv() from the utils package

            Source https://stackoverflow.com/questions/48834297

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

            Vulnerabilities

            No vulnerabilities reported

            Install megahit

            You can download it from GitHub.

            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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