I read your excellent work in Wang et al. 2018, and am wondering whether you could kindly share the list of 321 high confidence SCZ-associated genes. We are studying SCZ iPSC-derived interneurons and this information would be helpful for us to understand which DE gene may be causal in our system.
It should be at: http://resource.psychencode.org
I recently came across your paper, "Patterns of nucleotide substitution, insertion and deletion in the human genome inferred from pseudogenes."
I’m interested in the substitution rates in human pseudogenes. Figure 2A from your paper (pasted below) plots these rates. Would you be able to send me these rates as a table?
Additionally, has your group calculated the substitution rates for more families of pseudogenes? (The NAR 2003 paper only analyzed ribosomal protein pseudogenes sequences.) I tried poking around psiDR, but wasn’t not able to find this type of information readily available.
These substitution rate matrices would be very helpful for my research.
As our University currently doesn’t have access to Cell, I would appreciate if you can send me the pdf file of your recent article in Cell (Kumar et al., issue 5, March 2020).
sure – http://papers.gersteinlab.org/papers/paperE/
I am … developing an application that matches cancer patients to treatment based on the person’s genetic profile. We are looking for an updated list of human pseudogenes to use in evaluating submitted DNA variants. Can you tell me if the Pseudo Fam data files at the pseudogen.org website are still being updated? If not, perhaps you could recommend an alternate source?
Best to get an updated list of pseudogenes from pseudogene.org, which is continually updated, ie http://pseudogene.org/Human/. Yucheng
I just read your paper mentioned above. I work in the area of
computational reproducibility so the paper was pretty interesting to
read. However, I stumbled a bit over one of your concluding remarks. You
"One useful tactic may be detailed sampling: perhaps it is best for the
editor to organize a system wherein, randomly, referees are asked to
review samples in greater detail to ensure the overall quality of the
supplements without quickly overwhelming the peer review system."
I am not sure whether I understood correctly how this could be
implemented. Does it mean that the editor randomly asks one of the
reviewers to look at the supplements, or do all reviewers look at
subsets of supplements? I find this idea pretty interesting and was
wondering whether you have published further articles on this topic?
With respect to: "Does it mean that the editor randomly asks one of the reviewers to look at the supplements, or do all reviewers look at subsets of supplements?"
—> The former
With respect to: "I find this idea pretty interesting and was wondering whether you have published further articles on this topic?"
—> Not exactly.., but you might find useful the related work:
I’m in need of one of your published articles:
Role of non-coding sequence variants in cancer
I will much appreciate if you could kindly send me a pdf copy of your published article for personal reading.
I saw your paper "Structuring supplemental materials in support of reproducibility" and appreciate your points. I would love to see a forum (like GATK’s forum or StackOverflow) where each topic for a conversation thread is a single published paper. Then everyone who is trying to replicate results could post their questions and authors their answers for all to see. I think this would be much better than the current closed system of emailing the authors. I would love to see a day when a link to a forum is provided on papers, rather than the authors’ email addresses.Who would have the ability to make something like this get started and catch on? Do you know if they are thinking about funding a platform for something like this at the NIH?
with respect to "Who would have the ability to make something like this get started and catch on?"
with respect to "Do you know if they are thinking about funding a platform for something like this at the NIH?"
I have been using the Genboree exceRpt workflow, and loving it! It has saved me so much time! Your paper got me on to it, and I would like to use one of the figures (1) of the exceRpt pipeline in my PhD thesis. Am I right to contact you to request permission? Or should I be heading to Cell for this?
fine w/ me – just acknowledge us (see
I have benefited a lot from you work entitled ‘Architecture of the human regulatory network derived from ENCODE data’ and I want to use the framework you developed for context-specific TF co-association analysis. However, I can’t find the source code at your given address http://code.google.com/p/tf-co-association/. Do you have the replaced address to share the source code for that?
Is this what you are looking for?
Could you please refer me to the link where can I download the chromatin state maps of C.elegans in your modENCODE paper http://www.sciencemag.org/content/330/6012/1775
At modencode.org., I found chip-seq or chip-chip data but not chromatin states.