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Job: Post-Doctoral Research Fellow, Cancer Genomics
genomics seattle bioinformatics data science statistics Job
5.5 years ago Fred Hutch (Recruiting) ▴ 40
1
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1.4k
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Job: Post-Doctoral Research Fellow, Biostatistics - Seattle, WA
BIOSTATISTICS SEATTLE WASHINGTON COMPUTATIONAL BIOLOGY Job
5.5 years ago Fred Hutch (Recruiting) ▴ 40
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Job: Bioinformatician-Cancer Biology - Fred Hutchinson Cancer Research Center (Seattle, WA)
SEATTLE WASHINGTON WASHINGTON STATE BIOINFORMATICS COMPUTATIONAL BIOLOGY Job
5.7 years ago Fred Hutch (Recruiting) ▴ 40
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Job: Bioinformatics Analyst I-II - Fred Hutchinson Cancer Research Center (Seattle, WA)
SEATTLE WASHINGTON STATE WASHINGTON BIOINFORMATICS Job
5.7 years ago Fred Hutch (Recruiting) ▴ 40
1
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Job: Bioinformatics Analyst II, Genomics Shared Resource - Fred Hutchinson Cancer Research Center, Seattle, WA
bioinformatics seattle full-time genomics Job
6.0 years ago Fred Hutch (Recruiting) ▴ 40
0
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1.3k
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Job: Bioinformatics Analyst I-II, Prostate Cancer Program - Fred Hutch (Seattle, WA)
Bioinformatics research seattle Job
6.2 years ago Fred Hutch (Recruiting) ▴ 40
0
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0
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1.4k
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Job: Bioinformatics Analyst II, Genomics Shared Resource (Seattle, WA)
GENOMICS BIOINFORMATICS SEATTLE R PYTHON Job
6.2 years ago Fred Hutch (Recruiting) ▴ 40
0
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0
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1.1k
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Job: Post-Doctoral Research Fellow, Cancer Genomics (Fred Hutch - Seattle, WA)
job seattle Job
6.5 years ago Fred Hutch (Recruiting) ▴ 40
0
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0
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1.2k
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Job: Bioinformatics Analyst II, Genomics Shared Resource (Fred Hutchinson Cancer Research Center Seattle, WA)
jobs seattle bioinformatics Job
6.5 years ago Fred Hutch (Recruiting) ▴ 40
2
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0
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3.5k
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Job: Bioconductor core team
job bioconductor seattle Job
11.0 years ago Martin Morgan 25k
10 results • Page 1 of 1
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Comment: Getting a large intercept with DESeq2 by Michael Love 43k
Thanks James -- Denise you can check the "note on factor levels" in the vignette. And I'd recommend `plotCounts()` for looking at individu…
Comment: Getting a large intercept with DESeq2 by James W. MacDonald 68k
As a trivial example, consider this: ``` > model.matrix(~Treatment, data.frame(Treatment = factor(rep(1:3, each = 4)))) (Intercept) Tre…
Answer: Getting a large intercept with DESeq2 by James W. MacDonald 68k
The default parameterization in R is a treatment-contrasts parameterization that sets one of your groups as the baseline. So the intercept …
Answer: Must I do pseudobulk analysis on Cell Surface Protein Labeling data of Single C by ATpoint ★ 5.0k
There is no "MUST", but pseudobulk aggregation is beneficial to a) enable use of tested and robust methods such as limma (though it could u…
Answer: Post translational modifications and phosphoproteomics in limpa? by Gordon Smyth 53k
Yes, we use limpa for PTMs ourselves. I assume your data is preprocessed so that each row corresponds to a PTM. You replace dpcQuant() with…
Votes
Answer: What R/Bioconductor tools would you recommend for the analysis of sncRNA, specif
Using edgeR or DESeq2 to analyze allele-specific expression?
Answer: DESeq2 design for haplotype MPRA
Answer: Failure to download resources (MeSHDb) from AnnotationHub
Answer: Failure to download resources (MeSHDb) from AnnotationHub
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Popular Question to Stephen Piccolo ▴ 600
Popular Question to Maria Doyle ▴ 100
Popular Question to Hervé Pagès 16k
Popular Question to shepherl 4.2k
Scholar to James W. MacDonald 68k
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