snps | tools for reading , writing , merging , and remapping SNPs | Genomics library
kandi X-RAY | snps Summary
kandi X-RAY | snps Summary
tools for reading, writing, merging, and remapping SNPs
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Return a dict of the command - line tool
- Read data from file
- Extract version information from VCS
- Save a Pandas DataFrame as a csv file
- Get project root directory
- Construct a ConfigParser from a root
- Creates an analysis plot
- Read the SNPs data into a dictionary
- Create a vcf representation for the given task
- Get reference sequences
- Create reference sequences
- Clear the sequence
- Create the versioneer config file
- Save a pandas dataframe as a csv file
- Get the number of chromosomes for each chromosome
- Load the contents of the opennp_datadump file
- Write SNPs to file
- Assign PAR SNPs
- Scans the given setup py file and checks if it is missing
- Loads the contents of the OpenSSnp datadump file
- Read a file from a file
- Return a list of OpenAPI datadump files
- Load SNPs file
- Duplicate heterozygous SNPs
- Return the sex of the person
- Compute variant name
- Returns the sequence sequence
- Returns the length of the sequence
- End of the sequence
snps Key Features
snps Examples and Code Snippets
Community Discussions
Trending Discussions on snps
QUESTION
I am trying to extract lines that match two different patterns from test.txt
.
First I want to extract line that match >> fbat -v1
and then match the corresponding line just below p-value(2-sided)
.
This is the code I tried, but it only extracts the first match.
...ANSWER
Answered 2021-Jun-10 at 15:15import re
file = open('test.txt')
for idx, line in enumerate(file):
match = re.findall('^>> fbat -v1', line)
if match:
match = re.findall('p-value(2-sided)', file[idx+1])
QUESTION
I have completed an eqtl
analysis using the MatrixEQTL
package.
ANSWER
Answered 2021-May-17 at 18:50the author of the package here.
First, I would NOT suggest using pvOutputThreshold = 1
as it can result in storing billions of p-values and make R run out of memory.
Second, Matrix eQTL returns the number of tests it has conducted, so that you can do Bonferroni correction yourself. You can get it with this line:
QUESTION
I want to change terminal/taxa colour to blue, for specific taxa.
I'd like to change "Pomquet Lake", "Lake Ainslie", "Black River", "Pinchgut Lake", and "Blue Pond" to blue. is there a way to do this?
Code (figure below):
...ANSWER
Answered 2021-May-13 at 15:52No data are given, so that the example is not fully reproducible. The following general example using hclust
may hopefully give you an idea:
QUESTION
In R I have a dataframe with an ID column, multiple columns with a categorical value ('AA', 'AB', 'BB') and 1 column with a numerical value. It looks like this:
SUBJID SNP1 SNP2 Concentration 1 'AA' 'BB' 20 2 'AA' 'AA' 8 3 'BB' 'BB' 19 4 'AB' 'AB' 30Needed is the mean 'concentration' for each value per column. Can this be done with dplyr in the current dataframe or should I first transform the dataframe to a different shape for example?
I know how to get the mean value for 1 specific column: df %>% group_by(SNP1) %>% summarise(n=n(), Mean = mean))
. This doesn't help me to get the mean concentration per value within a column for multiple columns.
Desired output:
Group Mean concentration SNP1 'AA' 20.5 SNP1 'AB' 22.5 SNP1 'BB' 19.8 SNP2 'AA' 20.9 SNP2 'AB' 18.9 SNP2 'BB' 15.1Has to be done for up to 13 columns (SNPs).
...ANSWER
Answered 2021-Apr-24 at 16:51Is this what you are looking for? The 'trick' here is to pivot_longer
:
QUESTION
For my project, I need to find out which haplotyp (40 SNPs) is mostly causing the phenotyp.
For this I want to find out which haplotypes are associated with a very high or a very negative diplotypeffect. Because there are 294 different haplotypes, I need to select a smaller window (like 10 SNPs).
Now i want r to show me all rows where the 10 SNPs are contained in the 40 SNPs with the command:
...ANSWER
Answered 2021-Feb-25 at 11:39%in%
tests vector membership. What you want do do is string matching. Use grepl
for that:
QUESTION
I have about 70 dataframes in a list, each of them has a column named SNP. I want to find the common SNPs that exist in all dataframes. This is the code I used:
...ANSWER
Answered 2021-Feb-23 at 19:09Your problems appear to be two-fold:
One of your frames is missing
SNP
as a column name. That will often cause problems:
QUESTION
Background:
I have an Ansible utility that will take new comments as extra-vars
from the users and add them to /etc/motd
in the comments section. These comments are first stored in local facts file in the form of an array. My code then iterates through this and writes each comment in a new line. However, this works only for a single-word comment but not for an entire sentence.
Input format:
...ANSWER
Answered 2021-Feb-17 at 01:00I figured out the problem. The issue was with the quotes in my input. No change in the code was required.
Note: If the input is a sentence (with spaces), make sure that you pay attention to the quotes. There is a double quote (") within the single quotes (').
QUESTION
I have a data frame with two columns with SNP ids, 'block1' and 'block2'. In these columns, the individual ids are concatenated and separated by |
, e.g. in row 1 in 'block1': "A1|A2|A3|A4|A5|A6"
.
For each row in 'block1', I want to check if each individual id is present in the 'SNPA' column. In the same way I want to check if each id in 'block2' is in 'SNPB' column.
If the blocks (block1 and block2) have at least two SNPs each in a row (from the column SNPA for block1, and SNPB for block2), the row should be kept. Other rows with less than two matching SNPs should be removed, e.g. rows 9 to 14.
Example:
Taking the row 10 in my df: block1 contain 4 SNPS (
A31|A32|A33|A34
) but only one of them (A34
) is present in the column (SNPA
), so this row should be removed (idem for rows 9, 11, 12, 13 and 14). Row 14: block2 contain only 1 SNP (A57
) from theSNPB
column , so should be removed also, ... etc.
I tried the @NelsonGon solution, but it takes a lot of time (several days on a cluster):
...ANSWER
Answered 2021-Feb-07 at 22:39Instead of looping over each element of list
i.e. each row of the data, an option is to convert the list
to a matrix
after appending NA
at the end (where list elements are of lesser length than the maximum length), use %in%
with rowSums
to do this in a vectorized way.
QUESTION
I'm trying to make a script that would at random select and show a single layer from all groups on Photoshop and export the result as a png.
I found this script here that seems to work:
...ANSWER
Answered 2021-Feb-02 at 14:00Without seeing what your PSD looks like, it's hard to tell. However, I think the code is failing on the revert function.
Try this instead:
QUESTION
Please I need help.
I have I script that works well for many dataframes even if that takes several hours (on the cluster: > 100 GB memory). For some large dataframes (> 3 Million rows ) the loop for doesn't work even after two days of running. So, I need help if there is a way to speed up the for loop or replace the script with more speeder functions in R.
This is a short description of my script/data:
...ANSWER
Answered 2021-Jan-21 at 14:52I tried completely different approach and deliberately increased the size of your data by 500. The solution I propose is 5 times faster for 500 times larger dataset, and should be more and more faster if the size of the data increase.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install snps
You can use snps 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.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page