bioinformatics | Quick ugly bioinformatics scripts in Python | Genomics library
kandi X-RAY | bioinformatics Summary
kandi X-RAY | bioinformatics Summary
This repository contains Python script I wrote while leraning about bioinformatics. These scripts are ofter ugly and not optimized, because just written as POC or for quick testing.
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Top functions reviewed by kandi - BETA
- Count the number of words in a genome
- Computes hamming distance between two sequences
- Get the neighbors of a kmer
- Count hamming distance
- Reverse complements
- Return the immediate neighbors of a kmer
- Return a copy of the genotype
- Return a mutated genotype genotype
- Return a shallow copy of the object
- Return the median string for kmers in a DNA sequence
- R Returns a generator of all k - mers
- Compute hamming distance between two sequences
- Generator for kers
- Finds a sequence of kumps in the sequence
- Find the frequency of k - mer in a sequence
- R Return a set of kumps that start with k
- Return the frequency of kmer in a sequence
- Count occurrences of pattern in text
- Removes kmer from text at position
- Return a copy of the object
- Find the minimum skew of the genome
- Compute the probability for a given number of characters
- Reverse complements
- Return all pattern matching the given sequence
- Find the kmers in text
- Enumeration of motifs
- Get the neighbors of a given kmer
bioinformatics Key Features
bioinformatics Examples and Code Snippets
@article{le2020scaling,
title={Scaling tree-based automated machine learning to biomedical big data with a feature set selector},
author={Le, Trang T and Fu, Weixuan and Moore, Jason H},
journal={Bioinformatics},
volume={36},
number={1},
Community Discussions
Trending Discussions on bioinformatics
QUESTION
I am trying to convert all ICD codes in a tab separated file to Phecodes (based on a ICD-Phecode conversion table tab separated file) for a biology bioinformatics project. I found a good starting point with the code from the below stackoverflow post:
...ANSWER
Answered 2021-Jun-07 at 14:28The loop has to be outside of the condition. Ie. you want to check for each column, not only for $1 in a
. Consider a more readable multiline format.
QUESTION
I am writing a snakemake to produce Sars-Cov-2 variants from Nanopore sequencing. The pipeline that I am writing is based on the artic network, so I am using artic guppyplex
and artic minion
.
The snakemake that I wrote has the following steps:
- zip all the
fastq
files for all barcodes (rulezipFq
) - perform read filtering with
guppyplex
(ruleguppyplex
) - call the
artic minion
pipeline (ruleminion
) - move the stderr and stdout from qsub to a folder under the working directory (rule
mvQsubLogs
)
Below is the snakemake that I wrote so far, which works
...ANSWER
Answered 2021-Jun-08 at 15:40The rule that fails is rule guppyplex
, which looks for an input in the form of {FASTQ_PATH}/{{barcode}}
.
Looks like the wildcard {barcode}
is filled with barcode49/barcode49.consensus.fasta
, which happened because of two reasons I think:
First (and most important): The workflow does not find a better way to produce the final output. In rule catFasta
, you give an input file which is never described as an output in your workflow. The rule minion
has the directory as an output, but not the file, and it is not perfectly clear for the workflow where to produce this input file.
It therefore infers that the {barcode}
wildcard somehow has to contain this .consensus.fasta
that it has never seen before. This wildcard is then handed over to the top, where the workflow crashes since it cannot find a matching input file.
Second: This initialisation of the wildcard with sth. you don't want is only possible since you did not constrain the wildcard properly. You can for example forbid the wildcard to contain a .
(see wildcard_constraints
here)
However, the main problem is that catFasta
does not find the desired input. I'd suggest changing the output of minion
to "nanopolish/{barcode}/{barcode}.consensus.fasta"
, since the you already take the OUTDIR from the params, that should not hurt your rule here.
Edit: Dummy test example:
QUESTION
I want to build a consensus sequence from several sequences in python and I'm looking for the most efficient / most pythonic way to achieve this.
I have a list of strings like this:
...ANSWER
Answered 2021-Jun-06 at 08:09If you already have the position frequency matrix, you could process it as a pandas DataFrame. I chose to orient it such that the alphabet is the index (note the transpose
call at the end):
QUESTION
I've been trying to implement a modified knapsack problem algorithm regarding bioinformatics.
What I have so far is, in my opinion, pretty close to the solution, but the program gets stuck at a certain point.
I have a list of nodes which have mass (of a certain amino-acid), index, and list of nodes that they can get to.
NODE:
...ANSWER
Answered 2021-Jun-03 at 11:40While trying to debug the code, the problem seemed to be in the whole concept of the attribute next in the Node class.
When I printed out all of the Nodes' next lists, I found multiple occurences of the same Node, for example [2,2,2,3,8,...] so when I converted the list to set it didn't get stuck anymore.
Hope this helps someone in the future.
QUESTION
I am trying to make source and run r script in another r script at the same time
...ANSWER
Answered 2021-May-31 at 21:50You can use rstudio jobs to avoid locking the console
QUESTION
I have make a script that imputes the missing data (NA) in the file but i want to send this imputed data to another R.script from this script my_code:
...ANSWER
Answered 2021-May-31 at 19:12We could source
the first script to second script by placing the below line at the top of the second script
QUESTION
my file looks like that:
...ANSWER
Answered 2021-May-30 at 17:38I haven't tested this but try adding the following statement after line_items = line.split('\t')
QUESTION
I have been doing a script that takes two files to extract a specific part of the data to make a new file. If you want to see the complete file, here's a GitHub link: enter link description here
File one (report file) is a type of file that reports me when a value is >=0.5 (column N°6 is the value that interests me). This file is something like this (this is only a part):
...ANSWER
Answered 2021-May-21 at 18:59Untested (since you did not post a MRE), but this should work:
QUESTION
Haven't found a Q/A on SO that quite answers this situation. I have implemented solutions from some to get as far as I have.
I'm parsing the header (metadata) part of VCF files. Each line has the format:
##TAG=
I have a regex that parses the multiple k-v pairs inside the <>
, but I can't seem to add in the <>
and have it still "work."
ANSWER
Answered 2021-May-14 at 00:24With PyPi regex:
QUESTION
I need to design an algorithm that given a T string of n length, after a process O(n), for every string P of m length and a k value between 1 to n, to checks in O(m) time, if P appears on T before k position, only using Suffix Tree.
Unfortunately there are not any good bioinformatics books with fair examples and practical methodologies. Dan Gusfield book does not offer a solution manual.
...ANSWER
Answered 2021-May-04 at 15:53Preprocessing: after constructing the suffix tree, use DFS to label each node with the minimum index of the suffixes that appear in its descendants.
Query: descend in the suffix tree on the links indicated by P, threshold the node value constructed above.
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Install bioinformatics
You can use bioinformatics like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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