Displaying 9 results from an estimated 9 matches for "transcriptomics".
2011 Oct 24
2
Comparing two gff/gtf files : de novo transcripts v/s reference
Hi All
I am wondering if people based on their experience could share what methods
one could use to compare two gff/gtf files. The reason why I want to do so
is that we have constructed a RNA-Seq based transcriptome and would like to
compare it with reference transcriptome we had from in-silico approaches.
Ideally we are looking to find out
1. new genes we see
2. transcripts where the
2015 Jul 20
0
Postdoctoral Position in Biostatistics/Bioinformatics
...essing the issue of
healthcare-associated infections and biomarker evaluation in case control
or cohort studies : multivariate analyses, survival studies, etc ...
The candidate will work as part of a multidisciplinary group of several
research teams with expertise in Immunology, Molecular Biology,
Transcriptomics, Biostatistics and BioInformatics.
Required qualifications
Highly motivated candidates must hold a Ph.D. or engineer degree with a
strong background in bioinformatics and in biostatistics. Strong skills in
routine biostatistics and bioinformatics tools (R statistical language,
python) are requi...
2005 Oct 04
2
Joining Dataframes
I am attempting to join several dataframes that summarize sampling effort
for different samples into one large data.frame/table.
I have looked at the merge command, but have not been clever enough to
figure out how to get it to do what I want.
A simplified example of what I am trying to do:
The dataframes I have look like this (they were generated using the table
command)
species1.effort
2013 Sep 11
1
Position available University of Oxford
*The Jenner Institute is seeking to appoint an outstanding
Bioinformatician to run a Transcriptomics Core Facility at the Jenner
Institute and to identify, develop and integrate bioinformatics
resources into the research programmes of the institute. You will be
based at the Jenner Institute in the Old Road Campus Research Building,
Headington, Oxford and working in conjunction with Gilean McVe...
2013 Mar 12
1
Request for more flexibility in heatmap() width / height ratio
...width / height ratio. Here is
a typical example :
dev.new()
heatmap(matrix(rnorm(1200), nrow=10))
I have a non square matrix to plot with heatmap, as there are many more
columns than rows, row labels are larger than necessary but column labels
can't be read (this is quite common in transcriptomics, where there are
many more genes than samples studied). With a classical plot, this could be
fixed using a non square device area :
dev.new(width=10, height=5)
heatmap(matrix(rnorm(1200), nrow=10))
But as can be seen, heatmap don't make profit of it and leave empty room on
each side...
2013 Sep 11
0
Bioinformatics Position University of Oxford
*The Jenner Institute is seeking to appoint an outstanding
Bioinformatician to run a Transcriptomics Core Facility at the Jenner
Institute and to identify, develop and integrate bioinformatics
resources into the research programmes of the institute. You will be
based at the Jenner Institute in the Old Road Campus Research Building,
Headington, Oxford and working in conjunction with Gilean McVe...
2018 Mar 21
0
Error in GDCprepare step of TCGAbiolinks
Dear Sir/ma'am,
I'm using R-3.4.4 and TCGAbiolinks package for the analysis of GDC data.
Till today i have reintalled R and R studio for 5 times but one error comes
when i analyze the GDC data at the step GDCprepare. the data i am using is
not a legacy data of GDC data portal.
I think the problem is with my Laptop only because i have run the same
commands in another PC and there was no
2009 Jun 16
0
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2010 Mar 14
3
CRAN (and crantastic) updates this week
...methodologies: regularized CCA and
sparse PLS to unravel relationships between two heterogeneous data
sets of size (nxp) and (nxq) where the p and q variables are
measured on the same samples or individuals n. These data may come
from high throughput technologies, such as omics data (e.g.
transcriptomics, metabolomics or proteomics data) that require an
integrative or joint analysis. However, mixOmics can also be applied
to any other large data sets where p+q>>n. rCCA is a regularized
version of CCA to deal with the large number of variables. sPLS
allows variable selection in a one st...