gene | Code generation for projects | JSON Processing library

 by   cihangir Go Version: Current License: MIT

kandi X-RAY | gene Summary

kandi X-RAY | gene Summary

gene is a Go library typically used in Utilities, JSON Processing applications. gene has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

JSON Schema specifies a JSON-based format to define the structure of your data for various cases, like validation, documentation, and interaction control. A JSON Schema provides a contract for the JSON data required by a given application, and how that data can be modified. TLDR: here is an example tinder.json.
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            kandi-support Support

              gene has a low active ecosystem.
              It has 47 star(s) with 2 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              gene has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of gene is current.

            kandi-Quality Quality

              gene has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              gene is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              gene releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed gene and discovered the below as its top functions. This is intended to give you an instant insight into gene implemented functionality, and help decide if they suit your requirements.
            • GenerateJSValidator generates JS validator
            • Main entry point for testing
            • generate runs the given Schema against the given schema .
            • Configure implements ClientOption .
            • execute executes the given op and returns the output .
            • configure configures an OpenAPI schema
            • GenerateModelStatements generates the statements for the given schema .
            • GenerateModel generates a model for the given schema .
            • AccountRowsScan scan rows .
            • pluginCmd builds the exec . Cmd for the plugin .
            Get all kandi verified functions for this library.

            gene Key Features

            No Key Features are available at this moment for gene.

            gene Examples and Code Snippets

            No Code Snippets are available at this moment for gene.

            Community Discussions

            QUESTION

            Divide each element in each row of a dataframe by the value in one of the rows in R
            Asked 2021-Jun-15 at 07:03

            I would like to standardize a dataframe by the value in one specific column. In other words, I would like to divide all the values in each row by the value in a specific column.

            For example:

            The dataframe is

            Gene P1 P2 P3
            A1 6 8 2
            A2 12 6 3
            A3 8 4 8

            I would like to divide all the values in each row by the value in that row for column P3.

            Gene P1 P2 P3
            A1 6/2 8/2 2/2
            A2 12/3 6/3 3/3
            A3 8/8 4/8 8/8

            The new dataframe would be:

            Gene P1 P2 P3
            A1 3 4 1
            A2 4 2 1
            A3 1 .5 1

            Thank you for your help.

            ...

            ANSWER

            Answered 2021-Jun-15 at 01:22

            Using tidyverse functions:

            Source https://stackoverflow.com/questions/67978819

            QUESTION

            How can I remove certain characters from column headers in R?
            Asked 2021-Jun-14 at 17:25

            I have the following data frame:

            ...

            ANSWER

            Answered 2021-Jun-14 at 17:25

            We can use sub to match the . (metacharacter - so escape) followed by one or more digits (\\d+) at the end ($) of the string and replace with blank ("")

            Source https://stackoverflow.com/questions/67974668

            QUESTION

            How to create a for loop to obtain correlations from a data frame in R?
            Asked 2021-Jun-12 at 17:10

            I have the following data frame:

            ...

            ANSWER

            Answered 2021-Jun-11 at 18:41

            You could use split.default:

            Source https://stackoverflow.com/questions/67941858

            QUESTION

            Calculate frequency of values spread across multiple columns in R
            Asked 2021-Jun-11 at 18:53

            I have a data set similar to this tibble:

            ...

            ANSWER

            Answered 2021-Jun-11 at 18:53

            We could select the columns that starts_with 'A', then reshape to 'long' format with pivot_longer and get the count

            Source https://stackoverflow.com/questions/67942191

            QUESTION

            Submitting slurm array job with a limit above MaxArraySize?
            Asked 2021-Jun-11 at 11:31

            I need to submit a slurm array that will run the same script 18000 times (for independent genes), and I wanted to do this in a way that won't cause problems for my Uni's cluster.

            Currently, the MaxArraySize set by the admins is 2048. I was going to manually set my options like:

            First array script:

            ...

            ANSWER

            Answered 2021-Jun-11 at 11:31

            You can submit two jobs with

            Source https://stackoverflow.com/questions/67908698

            QUESTION

            How to automatically assign label.y position in stat_compare_means() under facet with free scale (different y-height)
            Asked 2021-Jun-11 at 00:31

            I have the following dataframe:

            ...

            ANSWER

            Answered 2021-Jun-09 at 09:59

            This could be one way to achieve your task:

            Resulting plot:

            The code

            Source https://stackoverflow.com/questions/67866564

            QUESTION

            How to iterate entries in a function to create two new character vectors
            Asked 2021-Jun-10 at 12:36

            I am struggling to separate a single string input into a series of inputs. The user gives a list of FASTA formatted sequences (see example below). I'm able to separate the inputs into their own

            ex:

            ...

            ANSWER

            Answered 2021-Jun-09 at 19:37

            One option with tidyverse

            Source https://stackoverflow.com/questions/67910560

            QUESTION

            how to use the input with pandas to get all the value.count linked to this input
            Asked 2021-Jun-09 at 21:45

            my dataframe looks like this:

            ...

            ANSWER

            Answered 2021-Jun-09 at 21:45

            If I understand your question correctly, this is what you're trying to achieve:

            Source https://stackoverflow.com/questions/67905777

            QUESTION

            Efficient way of creating a new variable via fuzzy string matching and grouped summarization in R
            Asked 2021-Jun-08 at 21:12

            I'm trying to use fuzzy string matching to convert strings to specific ids and perform grouped summarization using dplyr. The basic idea is combining imperfect gene sequences into a single gene name via a dictionary lookup approach and counting how many times the gene is detected. This way, counts for sequences aaaaaa and aaaxaa match to gene1 and get added together.

            I can do what I want using for and if statements via a row-by-row comparison of the raw data against the dictionary but I find this will be inefficient when I scale up (raw data files have 15k rows on average, the dictionary has 200 rows). Please see my solution below I'm trying to improve and let me know if you can think of a more efficient and elegant way of doing this.

            ...

            ANSWER

            Answered 2021-Jun-08 at 21:12

            perhaps a fuzzyjoin would be more easier

            Source https://stackoverflow.com/questions/67894571

            QUESTION

            I want to use dplyr to filter a data frame if all members of a given group are absent
            Asked 2021-Jun-08 at 20:57

            I have a tab delimited binary matrix of bacterial strain names and genes, listed as present (1) or absent (0), which is output by ROARY (pangenome pipeline).

            This is a mock version of the data:

            ...

            ANSWER

            Answered 2021-Jun-08 at 19:55

            We can do a group by operation i.e. grouped by 'gene', check if all the 'a', 'b' are found in the 'strain' where the 'pres_abs' value is 0 and to avoid getting the 1 values in pres_abs, create a second condition i.e. 'pres_abs' as 0

            Source https://stackoverflow.com/questions/67893730

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

            Vulnerabilities

            No vulnerabilities reported

            Install gene

            Package itself is not go gettable, get the cli for generating your app.

            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/cihangir/gene.git

          • CLI

            gh repo clone cihangir/gene

          • sshUrl

            git@github.com:cihangir/gene.git

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