methylpy | seq Data Processing & Differential Methylation Analysis | Genomics library

 by   yupenghe Python Version: 1.2.9 License: Apache-2.0

kandi X-RAY | methylpy Summary

kandi X-RAY | methylpy Summary

methylpy is a Python library typically used in Artificial Intelligence, Genomics applications. methylpy has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However methylpy has 7 bugs. You can download it from GitHub.

Welcome to the home page of methylpy, a pyhton-based analysis pipeline for. methylpy is available at github and PyPI.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              methylpy has a low active ecosystem.
              It has 117 star(s) with 44 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 15 open issues and 65 have been closed. On average issues are closed in 92 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of methylpy is 1.2.9

            kandi-Quality Quality

              OutlinedDot
              methylpy has 7 bugs (2 blocker, 0 critical, 2 major, 3 minor) and 297 code smells.

            kandi-Security Security

              methylpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              methylpy code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              methylpy 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.

            kandi-Reuse Reuse

              methylpy releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 5790 lines of code, 90 functions and 8 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed methylpy and discovered the below as its top functions. This is intended to give you an instant insight into methylpy implemented functionality, and help decide if they suit your requirements.
            • Parse the command line arguments
            • Perform DMR find
            • Calculate methylation levels using DMRfind
            • Get the methylation level for each sample
            Get all kandi verified functions for this library.

            methylpy Key Features

            No Key Features are available at this moment for methylpy.

            methylpy Examples and Code Snippets

            No Code Snippets are available at this moment for methylpy.

            Community Discussions

            QUESTION

            search for regex match between two files using python
            Asked 2022-Apr-09 at 00:49

            I´m working with two text files that look like this: File 1

            ...

            ANSWER

            Answered 2022-Apr-09 at 00:49

            Perhaps you are after this?

            Source https://stackoverflow.com/questions/71789818

            QUESTION

            Is there a way to permute inside using to variables in bash?
            Asked 2021-Dec-09 at 23:50

            I'm using the software plink2 (https://www.cog-genomics.org/plink/2.0/) and I'm trying to iterate over 3 variables.

            This software admits an input file with .ped extention file and an exclude file with .txt extention which contains a list of names to be excluded from the input file.

            The idea is to iterate over the input files and then over exclude files to generate single outputfiles.

            1. Input files: Highland.ped - Midland.ped - Lowland.ped
            2. Exclude-map files: HighlandMidland.txt - HighlandLowland.txt - MidlandLowland.txt
            3. Output files: HighlandMidland - HighlandLowland - MidlandHighland - MidlandLowland - LowlandHighland - LowlandMidland

            The general code is:

            ...

            ANSWER

            Answered 2021-Dec-09 at 23:50

            Honestly, I think your current code is quite clear; but if you really want to write this as a loop, here's one possibility:

            Source https://stackoverflow.com/questions/70298074

            QUESTION

            BigQuery Regex to extract string between two substrings
            Asked 2021-Dec-09 at 01:11

            From this example string:

            ...

            ANSWER

            Answered 2021-Dec-09 at 01:11

            use regexp_extract(col, r"&q;Stockcode&q;:([^/$]*?),&q;.*")

            if applied to sample data in your question - output is

            Source https://stackoverflow.com/questions/70283253

            QUESTION

            how to stop letter repeating itself python
            Asked 2021-Nov-25 at 18:33

            I am making a code which takes in jumble word and returns a unjumbled word , the data.json contains a list and here take a word one-by-one and check if it contains all the characters of the word and later checking if the length is same , but the problem is when i enter a word as helol then the l is checked twice and giving me some other outputs including the main one(hello). i know why does it happen but i cant get a fix to it

            ...

            ANSWER

            Answered 2021-Nov-25 at 18:33

            As I understand it you are trying to identify all possible matches for the jumbled string in your list. You could sort the letters in the jumbled word and match the resulting list against sorted lists of the words in your data file.

            Source https://stackoverflow.com/questions/70112201

            QUESTION

            Split multiallelic to biallelic in vcf by plink 1.9 and its variant name
            Asked 2021-Nov-17 at 13:56

            I am trying to use plink1.9 to split multiallelic into biallelic. The input is that

            ...

            ANSWER

            Answered 2021-Nov-17 at 09:45

            QUESTION

            Delete specific letter in a FASTA sequence
            Asked 2021-Oct-12 at 21:00

            I have a FASTA file that has about 300000 sequences but some of the sequences are like these

            ...

            ANSWER

            Answered 2021-Oct-12 at 20:28

            You can match your non-X containing FASTA entries with the regex >.+\n[^X]+\n. This checks for a substring starting with > having a first line of anything (the FASTA header), which is followed by characters not containing an X until you reach a line break.

            For example:

            Source https://stackoverflow.com/questions/69545912

            QUESTION

            How to get the words within the first single quote in r using regex?
            Asked 2021-Oct-04 at 22:27

            For example, I have two strings:

            ...

            ANSWER

            Answered 2021-Oct-04 at 22:27

            For your example your pattern would be:

            Source https://stackoverflow.com/questions/69442717

            QUESTION

            Does Apache Spark 3 support GPU usage for Spark RDDs?
            Asked 2021-Sep-23 at 05:53

            I am currently trying to run genomic analyses pipelines using Hail(library for genomics analyses written in python and Scala). Recently, Apache Spark 3 was released and it supported GPU usage.

            I tried spark-rapids library start an on-premise slurm cluster with gpu nodes. I was able to initialise the cluster. However, when I tried running hail tasks, the executors keep getting killed.

            On querying in Hail forum, I got the response that

            That’s a GPU code generator for Spark-SQL, and Hail doesn’t use any Spark-SQL interfaces, only the RDD interfaces.

            So, does Spark3 not support GPU usage for RDD interfaces?

            ...

            ANSWER

            Answered 2021-Sep-23 at 05:53

            As of now, spark-rapids doesn't support GPU usage for RDD interfaces.

            Source: Link

            Apache Spark 3.0+ lets users provide a plugin that can replace the backend for SQL and DataFrame operations. This requires no API changes from the user. The plugin will replace SQL operations it supports with GPU accelerated versions. If an operation is not supported it will fall back to using the Spark CPU version. Note that the plugin cannot accelerate operations that manipulate RDDs directly.

            Here, an answer from spark-rapids team

            Source: Link

            We do not support running the RDD API on GPUs at this time. We only support the SQL/Dataframe API, and even then only a subset of the operators. This is because we are translating individual Catalyst operators into GPU enabled equivalent operators. I would love to be able to support the RDD API, but that would require us to be able to take arbitrary java, scala, and python code and run it on the GPU. We are investigating ways to try to accomplish some of this, but right now it is very difficult to do. That is especially true for libraries like Hail, which use python as an API, but the data analysis is done in C/C++.

            Source https://stackoverflow.com/questions/69273205

            QUESTION

            Aggregating and summing columns across 1500 files by matching IDs in R (or bash)
            Asked 2021-Sep-07 at 13:09

            I have 1500 files with the same format (the .scount file format from PLINK2 https://www.cog-genomics.org/plink/2.0/formats#scount), an example is below:

            ...

            ANSWER

            Answered 2021-Sep-07 at 11:10

            QUESTION

            Usage of compression IO functions in apache arrow
            Asked 2021-Jun-02 at 18:58

            I have been implementing a suite of RecordBatchReaders for a genomics toolset. The standard unit of work is a RecordBatch. I ended up implementing a lot of my own compression and IO tools instead of using the existing utilities in the arrow cpp platform because I was confused about them. Are there any clear examples of using the existing compression and file IO utilities to simply get a file stream that inflates standard zlib data? Also, an object diagram for the cpp platform would be helpful in ramping up.

            ...

            ANSWER

            Answered 2021-Jun-02 at 18:58

            Here is an example program that inflates a compressed zlib file and reads it as CSV.

            Source https://stackoverflow.com/questions/67799265

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

            Vulnerabilities

            No vulnerabilities reported

            Install methylpy

            The easiest way of installing methylpy will be through PyPI by running pip install methylpy. The command pip install --upgrade methylpy updates methylpy to latest version. Methylpy can also be installed through anaconda or [miniconda] (https://docs.conda.io/en/latest/miniconda.html). Alternatively, methylpy can be installed through github: enter the directory where you would like to install methylpy and run. If you would like to install methylpy in path of your choice, run python setup.py install --prefix=/USER/PATH/. Then, try methylpy and if no error pops out, the setup is likely successful. See Test methylpy for more rigorious test. Last, processing large dataset will require large spare space for temporary files. Usually, the default directory for temporary files will not meet the need. You may want to set the TMPDIR environmental variable to the (absolute) path of a directory on hard drive with sufficient space (e.g. /YOUR/TMP/DIR/). This can be done by adding the below command to ~/.bashrc file: export TMPDIR=/YOUR/TMP/DIR/ and run source ~/.bashrc. python is required for running methylpy. Both python2 (>=2.7.9) and python3 (>=3.6.2) will work. methylpy also depends on two python modules, numpy and scipy. The easiest way to get these dependencies is to install anaconda. In addition, some features of methylpy depend on several publicly available tools (not all of them are required if you only use a subset of methylpy functions). Lastly, if paths to cutadapt, bowtie/bowtie2, samtools and wigToBigWig are included in PATH variable, methylpy can run these tools directly. Otherwise, the paths have to be passed to methylpy as augments. Path to Picard needs to be passed to methylpy as a parameter to run PCR duplicate removal. DMR finding requires an executable methylpy/methylpy/run_rms_tests.out, which was compiled from C++ code methylpy/methylpy/rms.cpp. In most cases, the precompiled file can be used directly. To test this, simply run execute methylpy/methylpy/run_rms_tests.out. If help page shows, recompiling is not required. If error turns up, the executable needs to be regenerated by compiling rms.cpp and this step requires GSL installed correctly. In most linux operating system, the below commands will do the job. In Ubuntu (>=16.04), please try the below commands first.
            cutadapt (>=1.9) for raw read trimming
            bowtie and/or bowtie2 for alignment
            samtools (>=1.3) for alignment result manipulation. Samtools can also be installed using conda conda install -c bioconda samtools
            Picard (>=2.10.8) for PCR duplicate removal
            java for running Picard (its path needs to be included in PATH environment variable) .
            wigToBigWig for converting methylpy output to bigwig format

            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 .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries

            Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link