bwa | Wheeler Aligner for short-read alignment | Genomics library
kandi X-RAY | bwa Summary
kandi X-RAY | bwa Summary
BWA is a software package for mapping DNA sequences against a large reference genome, such as the human genome. It consists of three algorithms: BWA-backtrack, BWA-SW and BWA-MEM. The first algorithm is designed for Illumina sequence reads up to 100bp, while the rest two for longer sequences ranged from 70bp to a few megabases. BWA-MEM and BWA-SW share similar features such as the support of long reads and chimeric alignment, but BWA-MEM, which is the latest, is generally recommended as it is faster and more accurate. BWA-MEM also has better performance than BWA-backtrack for 70-100bp Illumina reads. For all the algorithms, BWA first needs to construct the FM-index for the reference genome (the index command). Alignment algorithms are invoked with different sub-commands: aln/samse/sampe for BWA-backtrack, bwasw for BWA-SW and mem for the BWA-MEM algorithm.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of bwa
bwa Key Features
bwa Examples and Code Snippets
Community Discussions
Trending Discussions on bwa
QUESTION
I have two tables. Table Main and Sub. I need to join these two tables. The key's that have same grp_id is one single group. eg : in Table main (BWA,ST,FD62E015) is one group and (BWA,VI,FD62E015) is other group and so on. The same goes with the other table sub as well. Now i want to join these two tables and get the grp_id from main table in a way that if the group that has key (BWA,FD62E015) in table sub gets the grp_id 1 and 2 from Main table and the group that has key (BWA,FM62Q011) gets grp_id 3 and 4.
So the normal joins wont work here since both the group in the sub table has the key BWA. Is there way to aggregate the key's and join them ?
...ANSWER
Answered 2022-Feb-04 at 10:45QUESTION
Hi I am attempting to use bash to iterate through a .txt file which contains the following lines. This is a smaller subset of the full list of fastq files, but all samples follow the same patterns.
...ANSWER
Answered 2022-Jan-20 at 14:56Why not reading 2 lines at a time? Remove echo
before bwa...
when you'll be satisfied with the result.
QUESTION
I'm running into an error of 'Wildcards' object has no attribute 'output', similar to this earlier question 'Wildcards' object has no attribute 'output', when I submit Snakemake to my cluster. I'm wondering if you have any suggestions for how to make this compatible with the cluster?
While my rule annotate_snps works when I test it locally, I get the following error on the cluster:
...ANSWER
Answered 2022-Jan-11 at 14:29The raw rule definition appears to be consistent except for the multiple calls to the contents of config
, e.g. config[snpeff]
.
One thing to check is if the config definition on the single machine and on the cluster is the same, if it's not there might be some content that is confusing snakemake
, e.g. if somehow config[snpeff] == "wildcards.output"
(or something similar).
QUESTION
This is a follow-up of a previous question about using a Python
dictionary to generate a list of files to include as input for a single step. In this case, I'm interested in merging BAM files for a single sample that have been generated by mapping FASTQ files from multiple runs.
I am running into an error in my rule combine_bams
only for a single sample:
ANSWER
Answered 2022-Jan-04 at 03:10In rule combine_bams
, when using lambda
expression you will need to provide the values of all {}
wildcards. Right now there is only run
information provided. One way to fix this is to include kwarg allow_missing=True
to expand
:
QUESTION
I have a dataset with about 50 columns (all indicators I got from World Bank), Country Code and Year. These 50 columns are not all complete, and I would like to fill in the missing values based on an lm fit for the column for that specific country. For example:
Doing this for a single country and a single column is absolutely fine when following these steps here: Filling NA using linear regression in R
However, I have over 180 different countries I want to do this to. And I want this to work for each indicator per country (so 50 columns total) So in a way, each country and each column would have its own linear regression model that fills out the missing values.
Here is how it looked after I did the steps above: This is the expected output for ONE column. I would like to do this for EVERY column by individual country groups.
However, the data looks like this:
There are numerous countries and columns that I want to perform this on just like the post above.
This is for a project I am working on for my data-mining / statistics class. Any help would be appreciated and thanks so much in advance!
EDIT
I tried this:
...ANSWER
Answered 2021-Dec-02 at 13:40Since you already know how to do this for one dataframe with a single country, you are very close to your solution. But to make this easy on yourself, you need to do a few things.
Create a reproducible example using dput. The
janitor
library has the clean_names() function to fix columns names.Write your own interpolation function that takes a dataframe with one country as the input, and returns an interpolated dataframe for one country.
Pivot_longer to get all the data columns into a one parameterized column.
Use the
dplyr
function group_split to take your large multicountry dataframe, and break it into a list of dataframes, one for each country and parameter.Use the
purrr
function map to map each of the dataframes in the list to a new list of interpolate dataframes.Use dplyr's bind_rows to convert the list interpolated dataframes back into one dataframe, and pivot_wider to get your original data shape back.
QUESTION
The following Snakefile fails with AmbiguousRuleException
:
ANSWER
Answered 2021-Aug-26 at 05:45Snakemake performs some checks for cycles and jobs with the same input and output file(s) are removed from consideration during DAG creation. In your working case, the job from the merge_bam
rule has the same input/output file (S1.bam
) so it is not considered in the DAG and their is no ambiguity when satisfying the input of the all
rule.
Snakemake starts with the final target file (in this case S1.bam
) and works backward to find parameterized rules (jobs) that can be executed to create the target file from existing input files. To do this, it recursively calls snakemake/dag.py::DAG.update()
and snakemake/dag.py::DAG.update_()
to construct the DAG from the initial target file(s). DAG.update()
has the following check to remove jobs from consideration if they produce the same output file that they require for input:
QUESTION
I am using Synth() package (see ftp://cran.r-project.org/pub/R/web/packages/Synth/Synth.pdf) in R.
This is a part of my data frame:
...ANSWER
Answered 2021-Aug-18 at 06:32I cannot tell you what's going on behind the scenes, but I think that Synth wants a few things:
First, turn factor variables into characters;
QUESTION
I'm using shiny and I'm having trouble inserting multiple links in the same table cell. Every link should allow the user to download local files found on the computer. Here is an image of what I mean: table with links
For columns 2, 3, and 4, whose rows include at most only 1 link, it works perfectly; when I click on the hyperlinks I am able to download the corresponding file from my pc. However, for column 5, which includes multiple hyperlinks in each cell, I am unable to do so. Clicking on the links returns nothing; no file is downloaded (but I don't get an error).
This is the code I'm using for column 5:
...ANSWER
Answered 2021-Aug-09 at 19:14I think this should do it by replacing the for loop with lapply
in the renderUI
part and generating the downloadLink
as a tagList
:
QUESTION
Given that I have a file of N size. For the sake of example 30GB file.
Facts about the file content is that it has proprotional amount of lines. This is interleaved FastQ file. (not important for the question but usefull for someone)
File content is paired
or interleaved
DNA sequence of strings. Each pair
is 8
lines long.
I want to process the interleaved FastQ with GNU parallel
in order to speed up the process.
Reason for using parallel
instead of native bwa
tool threads feature is that parallel
helps to reduce amount of RAM needed because the nature of bwa
memory allocation.
Given that interleaved file is 30GB of size I want to process chunks
of --block 500M
, command line params looks like --pipe --block 500M -L 8 -j 10
this then is sent as stdin
to bwa
and will run 10 bwa
tasks each getting 500M
chunks with a record
of 8
lines.
Is my assumption correct that --block 500M
and -L 8
will be managed by parallel
and I can be certain that my bwa
tool will always get 8
lines times N MB
of data?
What I am not clear is, will parallel
"repeat" last "chunk" if 8
lines are not present?
And will it apropriatelly controll other chunk inputs for N processes
I start with parallel
?
Or this --block 500M
"blindly" sends 500M chunk to single process regardless if last part of the 500M chunk does not contain 8 lines
so to speak?
Update:
After whole day reading questions and answers on biostars and seqanswers I've realised that my testing/"benchmarking" was wrong.
But this helped to realise that I need to update the question and will make separate question.
I was testing inside Docker container which by default has very low /dev/shm
thus I have mislead my self to go totaly different path.
ANSWER
Answered 2021-Aug-06 at 06:34Yes, you can be certain.
The --block
parameter is described here:
https://www.gnu.org/software/parallel/parallel_tutorial.html#chunk-size
The -L
parameter here:
https://www.gnu.org/software/parallel/parallel_tutorial.html#records
Quick summary: Parallel will always send full lines to each process until the block/buffer capacity is filled. If you specify a that one record requires several lines (8 in your case), it will fill the buffer capacity in chunks of 8 lines each.
The last block can be smaller than 8 lines, if there are fewer remaining.
Side note:
In the case of properly formatted and interleaved fastq
files, there will always be 8 lines. fastq
format specifies that each record is 4 lines and paired-end fastq files must contain the same number of records.
QUESTION
I have a dataset that shows bilateral exports for several countries. Because the data fluctuates, I need to calculate the mean of year groups. All the countries do not cover exactly the years. Some start later, some have gaps in between - this means, some years are missing (but without having NA entries). I already managed to cut the data into pieces whith the help of an amazing community member: year_group.
Below I am listing two further problems along with my code, the wrong output and on the bottom some sample input data for the dataset total_trade
Problem 1
I am facing the issue, that the code does not calculate the right means. When I calculate the results manually, I get different results than my code. (see below)
This is my code
...ANSWER
Answered 2021-May-15 at 15:19The issue with mean
is duplicated rows for any ReporterName
in the data.
Problem-1
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install bwa
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