Displaying 7 results from an estimated 7 matches for "rsamtools".
2012 Aug 10
2
how to read .bam file
Hi all:
I've got a data of ".bam" which is created from my partner under linux sysyem.
My system is window xp, and I wanna know how to read the .bam file.
Many thanks!
My best
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2019 Apr 13
3
SUGGESTION: Settings to disable forked processing in R, e.g. parallel::mclapply()
...in that example
using `mclapply` and so it is significantly faster than other
alternatives.
It is a very simple and contrived example, but there are lots of
applications that depend on processing of large data and benefit from
multithreading. For example, if I read in large sequencing data with
`Rsamtools` and want to check sequences for a set of motifs.
> I don't see why mclapply could not be rewritten using PSOCK clusters.
Because it would be much slower.
> To implement copy-on-write, Linux overcommits virtual memory, and this
> is what causes scripts to break unexpectedly: everyt...
2012 Dec 17
1
Code works standalone, yet same code fails when part of package
...t (which includes the code.
Below is a transcript of my R session. First I load the code from a file, using source(). Then I execute it fine. Then I remove the function object, I load the package, and execute the same code from the package - and I get an error.
Please help!
Mick
> library(Rsamtools)
> source("viRome/R/read.bam.R")
> read.bam
function(bamfile=NULL, chr=NULL, start=1, end=1e07, what=c("qname", "flag",
"rname", "strand", "pos", "qwidth", "mapq", "cigar", "mrnm",...
2010 Oct 09
1
A competition to create a recommendation engine for R packages
Hello everyone.
There is a new competition, outlined on the blog
dataists<http://www.dataists.com/2010/10/using-data-tools-to-find-data-tools-the-yo-dawg-of-data-hacking/>,
inviting us to analyse statistics of the use of R packages (collected from
52 R users), to create a R-package suggestion engine for ourselves.
Since I noticed several bloggers already wrote about it (as I have detailed
2019 Apr 13
0
SUGGESTION: Settings to disable forked processing in R, e.g. parallel::mclapply()
...ply` and so it is significantly faster than other
> alternatives.
>
> It is a very simple and contrived example, but there are lots of
> applications that depend on processing of large data and benefit from
> multithreading. For example, if I read in large sequencing data with
> `Rsamtools` and want to check sequences for a set of motifs.
>
> > I don't see why mclapply could not be rewritten using PSOCK clusters.
>
> Because it would be much slower.
>
> > To implement copy-on-write, Linux overcommits virtual memory, and this
> > is what causes scrip...
2019 Apr 12
2
SUGGESTION: Settings to disable forked processing in R, e.g. parallel::mclapply()
Just throwing my two cents in:
I think removing/deprecating fork would be a bad idea for two reasons:
1) There are no performant alternatives
2) Removing fork would break existing workflows
Even if replaced with something using the same interface (e.g., a
function that automatically detects variables to export as in the
amazing `future` package), the lack of copy-on-write functionality
would
2019 Jul 04
2
Fwd: Fedora 31 System-Wide change proposal: Automatic R runtime dependencies
...xl
* R-rematch
* R-rematch2
* R-remotes
* R-repr
* R-reprex
* R-reshape
* R-reshape2
* R-reticulate
* R-rex
* R-rgdal
* R-rgeos
* R-rhub
* R-RInside
* R-rlang
* R-rlecuyer
* R-RM2
* R-rmarkdown
* R-R.methodsS3
* R-Rmpfr
* R-ROC
* R-RODBC
* R-R.oo
* R-roxygen2
* R-rprintf
* R-rprojroot
* R-R.rsp
* R-Rsamtools
* R-rsconnect
* R-Rsolid
* R-RSQLite
* R-rstudioapi
* R-rsvg
* R-rtracklayer
* R-RUnit
* R-R.utils
* R-rversions
* R-rvest
* R-S4Vectors
* R-sandwich
* R-scales
* R-scatterplot3d
* R-sciplot
* R-selectr
* R-sessioninfo
* R-sfsmisc
* R-shiny
* R-showtext
* R-showtextdb
* R-simmer
* R-snow
* R-sodium...