User: arfranco

arfranco120
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Posts by arfranco

<prev • 36 results • page 1 of 4 • next >
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... After reading the vignette, I don't actually have a clear idea about what to do with the rows containing NA after a DESeq2 analysis. I am at a loss here. Can you provide with some hints ? ...
written 4 months ago by arfranco120 • updated 4 months ago by Michael Love17k
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... You can do two similar approaches 1. Map your RNA reads to a reference genome or transcriptome to eventually get a BAM file. This can be accomplished with TopHat, STAR, HISAT ant the like, and need its time and computer power. With this BAM file and with the help of a gtf or gff annotation file, al ...
written 4 months ago by arfranco120
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... It depends upon it is a model organism or not. If so, try to access to Biomart, where you can generate whatever you want. Another possibility is to convert this gtf file to BED and use Bedtools to get the same answer. To do so, you can access to the bedtools tutorials and help ...
written 5 months ago by arfranco120
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... Wondering why in that Elist file, there are two rows for each of the genes.. ¿what is the meaning of that? Daa values are very much similar between the two rows having the same gene name.. What is the origen of that ? Where and how is these data obtained ...
written 6 months ago by arfranco120
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... I believe that this can be the solution datos_norm1 is the Elist file containing the subtracted, normalized and averaged data processed through the limma functions. I am analyzing a total of 24 arrays ​my_data <- as.data.frame(cbind(datos_norm1$genes, datos_norm1$E)) # Join gene data (names..) ...
written 6 months ago by arfranco120
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... I'll try to answer myself. Please confirm whether I am right or not.. Let's assume that  data_normalized is a Elist obtained after substracting the background, after a normalizeBetweenArrays normalization, and after running avereps function to average the expression levels.. I believe that the inf ...
written 6 months ago by arfranco120
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... I am running a DE analysis with limma using a one-color microarray, and got the toptables indicating those genes which are differentially expressed. My colleague (and also myself) want to know, however ,the level of gene expression between individual contrasts for each of the genes that give rise t ...
written 6 months ago by arfranco120
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... I am interested in this thread. Would you mind to share your code once done ? ...
written 18 months ago by arfranco120
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Answer: A: Very small bug in DESeq2
... I am actually sorry to disturb you. I know the reason and the answer to this problem, and I am not happy at the time of writing these messages I simply wrote this message because my students got very much confused ...
written 19 months ago by arfranco120
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Comment: C: Very small bug in DESeq2
... Well, look at this code > source("https://bioconductor.org/biocLite.R") Bioconductor version 3.3 (BiocInstaller 1.22.3), ?biocLite for help > biocLite("pasilla") BioC_mirror: https://bioconductor.org Using Bioconductor 3.3 (BiocInstaller 1.22.3), R 3.3.1 (2016-06-21). Installing package(s) ‘ ...
written 19 months ago by arfranco120

Latest awards to arfranco

Great Question 13 months ago, created a question with more than 5,000 views. For limma p-value and adjusted p-value meaning
Popular Question 13 months ago, created a question with more than 1,000 views. For limma p-value and adjusted p-value meaning
Popular Question 2.1 years ago, created a question with more than 1,000 views. For limma p-value and adjusted p-value meaning
Scholar 2.4 years ago, created an answer that has been accepted. For A: matrix transposing in R
Supporter 2.5 years ago, voted at least 25 times.
Scholar 2.9 years ago, created an answer that has been accepted. For A: matrix transposing in R
Scholar 2.9 years ago, created an answer that has been accepted. For A: matrix transposing in R

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