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Job:
Research Associate, computational/statistical genetics & genomics, MRC Biostatistics Unit, University of Cambridge
molecularQTL
computationalbiology
immunology
GWAS
biostatistics
15 months ago
helene.ruffieux
• 0
0
votes
0
replies
508
views
Job:
Job: Moderna Statistical genomics co-op 2022, single-cell applications in immunology, masters or PhDs
co-op
immunology
single-cell
omics
20 months ago
joyce.hsiao1
• 0
0
votes
0
replies
517
views
Job:
Hiring Bioinformaticians, Data Engineers, & Computer Scientists @ Flagship Labs 77
data
immunology
software
vaccinology
21 months ago
Daniel
• 0
0
votes
6
replies
984
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Using DESeq2 for T-cell receptor clonotypes
deseq2
immunology
tcr
clonotypes
updated 4.8 years ago by
Michael Love
40k • written 4.8 years ago by
jirkanov
• 0
0
votes
0
replies
819
views
Job:
Postdoctoral position, T follicular helper cell transcriptomics
single cell
rnaseq
T cells
Tfh cells
immunology
Job
5.0 years ago
michela.locci
• 0
0
votes
0
replies
1.9k
views
Job:
Bioinformatician - The Ragon Institute of MGH, MIT and Harvard
bioinformatician job
bioinformatics
immunology
HIV
Job
6.5 years ago • updated 6.2 years ago
Ragon Institute of MGH, MIT and Harvard
• 0
0
votes
1
reply
978
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News:
Exploiting computational immunology to understand the immune system| Symposium
computational biology
immunology
bioinformatics
symposium
RIMLS
News
updated 6.4 years ago by
Maxim.Baranov
• 0 • written 6.5 years ago by
maximbaranov23
• 0
7 results • Page
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Answer: DESeq2 + analysis question for design with uneven time point design
by
Michael Love
40k
I'd recommend reaching out to a local statistician or someone familiar with linear models in R. Unfortunately, I have to reserve my time on…
Answer: Genes with highest differential expression have very low read counts for most ge
by
Michael Love
40k
Have you use `lfcShrink`? Or `results` with `lfcThreshold`? Either of these are recommended for prioritizing DE genes.
Comment: Adjusting for baseline when having longitudinal data, mixed model and no treat
by
Gordon Smyth
47k
> equivqalent in limma would be like a gene by gene specificic design matrix where no BL time point would exist but a continuous variable t…
Comment: Extract Limma Adjusted Values for Plotting
by
ATpoint
★ 2.9k
Yes, with normalized counts on log2 scale.
Comment: Adjusting for baseline when having longitudinal data, mixed model and no treat
by
Anna
▴ 20
A no I never referred to transcriptomic data when I was talking about "standard procedure" I was referring to the way we analyze longitudin…
Votes
A: Ranges from a fasta file
Answer: NA transcript values in my Txdb
Comment: Interpret plot from DiffBind
Answer: Use with_go along with other filters in getBM function
Answer: Use with_go along with other filters in getBM function
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Mike Smith
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Martin Morgan
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deeenes
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Hervé Pagès
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Gordon Smyth
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