User: Tim Peters

gravatar for Tim Peters
Tim Peters80
Reputation:
80
Status:
Trusted
Location:
Australia
Last seen:
3 months, 4 weeks ago
Joined:
4 years, 8 months ago
Email:
t*******@garvan.org.au

--

Tim Peters, PhD

Bioinformatics Research Officer | Epigenetics Research Laboratory | Genomics and Epigenetics Division

Garvan Institute of Medical Research

384 Victoria St., Darlinghurst, NSW, Australia 2010

Posts by Tim Peters

<prev • 42 results • page 1 of 5 • next >
0
votes
1
answer
90
views
1
answers
Comment: C: Significant DMRs in genes with no single significant CpG using limma
... Hi Anne-Kristin, Yes I would - at the rate at which you specified the fdr. Although I think summarising the significance of a DMR with one single value can be misleading, the Stouffer value is there to do this to placate the people who want one. I see it as an extra level of control if you're still ...
written 3 months ago by Tim Peters80
0
votes
1
answer
90
views
1
answers
Answer: A: Significant DMRs in genes with no single significant CpG using limma
... Hi Ann-Kristin, > In this case I would expect that at least one of the CpGs would show up on the list of significant DMPs from limma, since I thought at least one CpG within the DMR would have to be individually significant. Is this not the case? No, this is not necessarily the case. DMRcate do ...
written 4 months ago by Tim Peters80
0
votes
3
answers
1.7k
views
3
answers
Comment: C: DMRcate results cg ID of significant DMR
... Hi Poojitha, A bit of digging reveals this is a temporary situation: https://github.com/Bioconductor/GenomicRanges/blob/master/R/GenomicRanges-class.R#L597-L599 https://support.bioconductor.org/p/109137/ So I guess for the time being you'll need to use a for loop: constituent.cpgs <- list ...
written 4 months ago by Tim Peters80
0
votes
3
answers
1.7k
views
3
answers
Comment: C: DMRcate results cg ID of significant DMR
... Hi, Just like with any epigenetic mark, not all DMRs have an unambiguous gene assignment. This is why I've restricted the gene information to overlapping promoters. If you're interested in finding the nearest genes, I would use a method such as this: https://bioconductor.org/packages/release/bioc/v ...
written 4 months ago by Tim Peters80
0
votes
1
answer
141
views
1
answers
Comment: C: cpg.annotate model requirements
... You can specify `contrasts=TRUE` and pass a contrasts matrix (as you would in limma) to `cpg.annotate`; this will allow you to fit non-intercept models. Tim ...
written 4 months ago by Tim Peters80
0
votes
1
answer
1.7k
views
1
answers
Comment: C: DMRcate: incorporating covariates to find DMRs in methylation data?
... Hi Steven, This is indeed possible using datatype="sequencing" - please look at the second half of the vignette for a worked example. Best, Tim *Edit* My bad, I hadn't realised that the example included only contained output from DSS::DMLtest, not DSS::DMLtest.multiFactor. If you use output fro ...
written 11 months ago by Tim Peters80
0
votes
0
answers
364
views
0
answers
Comment: C: DMRcate package :How to find the gene associated with coordinate
... This is a problem with your version of zlib, not DMRcate. Looks like you need to update the version of zlib on your machine. This thread may be of help: https://www.biostars.org/p/89217/ Cheers, Tim       ...
written 17 months ago by Tim Peters80
0
votes
0
answers
364
views
0
answers
Comment: C: DMRcate package :How to find the gene associated with coordinate
... The extractRanges() function now appends promoter associations from Gencode/Ensembl instead. I find this annotation more reliable than Illumina's. Have a look at page 4 of the vignette:  https://bioconductor.org/packages/release/bioc/vignettes/DMRcate/inst/doc/DMRcate.pdf Cheers, Tim   ...
written 17 months ago by Tim Peters80
0
votes
2
answers
469
views
2
answers
Comment: C: Bumphunting for longitudinal data
... Hi Ash, Yes, it looks like that will work. The ellipsis argument (...) at the end of cpg.annotate() is matched to extra arguments for limma::lmFit(), so block and correlation will propagate to the linear fitting. And yes, DMRcate can definitely be used for continuous responses as well. The only ca ...
written 19 months ago by Tim Peters80
1
vote
2
answers
469
views
2
answers
Answer: A: Bumphunting for longitudinal data
... Hi Ash, Yes, like James said, you'll need to sacrifice some of your covariates to get your design matrix full rank. Once you have a full rank matrix, you can then pass it to cpg.annotate() along with your coefficient of interest (and optionally contrast matrix), and then the regular workflow will d ...
written 19 months ago by Tim Peters80

Latest awards to Tim Peters

Scholar 2.5 years ago, created an answer that has been accepted. For A: Bumphunting for longitudinal data
Autobiographer 4.7 years ago, has more than 80 characters in the information field of the user's profile.

Help
Access

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by Biostar version 16.09
Traffic: 225 users visited in the last hour