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Job: Research Associate, computational/statistical genetics & genomics, MRC Biostatistics Unit, University of Cambridge
molecularQTL computationalbiology immunology GWAS biostatistics
3.1 years ago helene.ruffieux • 0
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Job: Job: Moderna Statistical genomics co-op 2022, single-cell applications in immunology, masters or PhDs
co-op immunology single-cell omics
3.6 years ago joyce.hsiao1 • 0
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Job: Hiring Bioinformaticians, Data Engineers, & Computer Scientists @ Flagship Labs 77
data immunology software vaccinology
3.6 years ago Daniel • 0
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Using DESeq2 for T-cell receptor clonotypes
deseq2 immunology tcr clonotypes
updated 6.7 years ago by 43k • written 6.7 years ago by • 0
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Job: Postdoctoral position, T follicular helper cell transcriptomics
single cell rnaseq T cells Tfh cells immunology Job
6.8 years ago michela.locci • 0
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Job: Bioinformatician - The Ragon Institute of MGH, MIT and Harvard
bioinformatician job bioinformatics immunology HIV Job
8.4 years ago • updated 8.1 years ago Ragon Institute of MGH, MIT and Harvard • 0
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News: Exploiting computational immunology to understand the immune system| Symposium
computational biology immunology bioinformatics symposium RIMLS News
updated 8.3 years ago by • 0 • written 8.4 years ago by • 0
7 results • Page 1 of 1
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Comment: Controlling for batch and estrus cycle using DESeq2 in RNA-seq analysis by donnycrimson • 0
One potential workaround might be to adjust for these factors using a combination of design matrices perhaps including batch as a covariate…
Comment: DESeq2 Design controlling for gender by donnycrimson • 0
On a lighter note, while you are tackling such complex data, you might enjoy a quick break playing the [Slope Game](https://slopegame.lol)…
Comment: MetaDE.pvalue: Error in xj[i]: invalid subscript type 'list' by donnycrimson • 0
Have you considered streamlining how you handle data input to mitigate these issues. It might help to define the parameters more strictly …
Comment: CluserProfiler message "No gene can be mapped" by Carolina • 0
There is, the overlap that reads out is ( Genes in common: 368 of 368 ). Here is the link for [background genes][1], [term2gene][2], [term2…
Comment: Differing results with DESeq2 by JKim • 0
My two cents. I think it would be more straightforward if you use cellmeans model. Have a look at [A guide to creating design matrices for …
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remove X and Y chromosome genes in RNA-seq data using DESeq2 pipeline
How to remove X & Y chromosome genes from RNAseq data
Is it advisable to remove X and Y chromosome genes in mouse bulk RNA-seq data at the level of the count matrix?
A: Unbalanced experiment with multiple samples from each patient.
A: Understanding contrasts limma
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