cre | excel report generation using data from bcbio variant2 | Genomics library
kandi X-RAY | cre Summary
kandi X-RAY | cre Summary
Excel variant report generator and scripts to process WES data (cram/bam/fastq -> variant calls -> annotated variant calls -> prioritized variants -> excel report). Uses results from bcbio variant2 germline variant calling pipeline.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of cre
cre Key Features
cre Examples and Code Snippets
cat ${family}-ensemble.db.txt | cut -f 23,24 | sed 1d | sed s/chr// > ${family}-ensemble.db.txt.positions
bcftools view -R ${family}-ensemble.db.txt.positions -o ${family}.vcf.gz -O z ${family}-ensemble-annotated-decomposed.vcf.gz
vcf.freeb
export PATH=[installation_path]/tools/bcbio/bin:[installation_path]/tools/bcbio/anaconda/bin:$PATH
export PYTHONPATH=[installation_path]/tools/bcbio/anaconda/lib/python2.7:$PYTHONPATH
cd
git clone https://github.com/naumenko-sa/cre
Community Discussions
Trending Discussions on cre
QUESTION
I am interested in retieving machine readable meta information about R packages.
For example, when I go to CRAN I can see a short description about the package, before I download it: https://cran.r-project.org/web/packages/MASS/
I could not find any way to retrieve a different output from the CRAN server than HTML. I would like to avoid parsing HTML and instead somehow retrieve meta information about packages in a more convenient format (e.g., JSON).
I saw that each R package (at least to my knowledge) has a yaml-like (?) description text inside its source code package (the file is called DESCRIPTION
). However, so far I could only find this kind of description inside tar archives, which means that I would have to download the package before I can access its description.
Here an example of the DESCRIPTION
from the MASS package:
ANSWER
Answered 2022-Mar-22 at 14:38An acceptable solution is the METACRAN API that is available here: https://crandb.r-pkg.org/
QUESTION
I am trying to convert a dict to Pandas DataFrame as the following:
...ANSWER
Answered 2021-Dec-01 at 20:03You're not doing anything wrong. Since tags
is a list, Pandas broadcasts all other fields to same size as tags
and make a dataframe. You can do:
QUESTION
I'm newbie to highchart and I've got a demo for polar chart using highcharts
...ANSWER
Answered 2021-Nov-19 at 09:33You can get the associated value through series data. Example:
QUESTION
How can I read Authors@R
field from DESCRIPTION
file as vector?
ANSWER
Answered 2021-Oct-21 at 18:48We may wrap with eval(parse
as it returns a string
QUESTION
I have Mysql DB that contains table 'tariff' with field
...ANSWER
Answered 2021-Oct-06 at 09:22there are several errors in that code:
- use
timestamp
instead ofdatetime
- use
current_timestamp
instead ofcurrent_timestamp()
- the interval value needs to be enclosed in single quotes
So you need to use:
QUESTION
I found some answers online, but I have no experience with regular expressions, which I believe is what is needed here and if there is another way it would be better.
I have a complexed column in my dataframe that needs to be split by either a ',' ';' '(' ')' ':'
Example string:
...ANSWER
Answered 2021-Sep-28 at 14:31By doing
QUESTION
Here is what I currently do, file 1:
...ANSWER
Answered 2021-Sep-20 at 20:03Can anyone help me solve the start
cmd -nonewwindow -verb runas
issue
Unfortunately, there is no solution: Windows fundamentally does not allow you to run an elevated process (run as admin, requested with -Verb RunAs
) directly in a non-elevated process' console window - that is why Start-Process
syntactically prevents combining -NoNewWindow
with -Verb RunAs
.
OR input multiple lines of code into a new elevated command prompt with only one file, please?
While there is a solution, it'll be hard to maintain:
You can pass the lines of your second batch file (the one you want to eliminate) to cmd /c
on a single line, joined with &
:
- Note: To facilitate side effect-free experimentation, the original
diskpart
command was replaced withfindstr -n .
, which merely prints the lines received via stdin, preceded by their line number.
QUESTION
I want to create an R-shiny application that calculates creatinine clearance. According to the formula below, the calculation necessitates many "if" conditions:
In addition, I'd like to show the results of the dose adjustment depending on the creatinine clearance data.
The following is the code I'm attempting to create. Still, I'm having difficulty displaying the final results table that includes the creatinine clearance calculations (based on gender and serum creatinine conditions) and how to show antibiotic dose adjustments based on creatinine clearance results.
...ANSWER
Answered 2021-Aug-07 at 12:56This might get you started. Please note that you may need to adjust somethings for the issues noted in my comments.
QUESTION
I have the following code and variables declared. How do I make sure that $shared_mailbox_alias becomes lowercase when expanded to the Mailbox creation cmdlet below? Since it's based on $Project_code which is typed in capital letters:
...ANSWER
Answered 2021-Aug-02 at 15:32Solved, thanks for the input, this is the syntax I used:
QUESTION
On the following Powershell script:
...ANSWER
Answered 2021-Aug-01 at 13:23I see that the below link has spaces between $Project_number & $Project_code
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install cre
Installation manual
Installation and update examples
Goto https://omim.org/downloads/ and request the latest database.
In a couple of days you will receive: genemap2.txt, genemap.txt, mim2gene.txt, mimTitles.percent.txt, mimTitles.txt, morbidmap.txt.
Preprocess OMIM with cre.omim.sh: cd OMIM_DIR;~/cre/cre.omim.sh
By default it uses bcbio.templates.wes.yaml config with following features:.
Prepare input files: family_sample_1.fq.gz, family_sample_2.fq.gz, or family_sample.bam and place them into family/input folder.
There might be many samples in a family(project).
TEST: NIST Ashkenazim trio: ftp://ftp-trace.ncbi.nlm.nih.gov/giab/ftp/data/AshkenazimTrio (download OsloUniversityHospital exomes).
run cre.prepare_bcbio_run.sh [family].
4 callers, the order is important, because variant metrics in ensemble calling (like AD) are picked up from the first caller in the list (gatk)
ensemble calling
realignment and recalibration. There is no much gain in precision/sensitivity with RR, but to make bam files consistent with other projects it is on here. Actually, realignment helps samtools to call indels better.
no bed file. Let callers call every variant which has coverage, we will filter poorly covered variants later. Modern exome capture kits are so perfect, that we can discover a useful non-coding variant. No sense to filter them out during that stage.
effects: VEP. There is a holywar VEP/snpEff/Annovar. My choice is VEP. You will see later both Ensembl and Refseq in the report, so no reason for using Annovar.
effects_transcripts: all. We want all effects of a variant on all transcripts to be reported.
aligner: bwa. Even staring with bam files, bwa is used. Sometimes input bam files aligned against older reference, or different (chr) naming scheme. It is better to have a bam file consistent with calls made.
custom annotation cre.vcfanno.conf using data sources installed in bcbio.
creates gemini database with vcf2db
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