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Job: Post-Doctoral Research Fellow, Cancer Genomics
genomics seattle bioinformatics data science statistics Job
5.4 years ago Fred Hutch (Recruiting) ▴ 40
1
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Job: Post-Doctoral Research Fellow, Biostatistics - Seattle, WA
BIOSTATISTICS SEATTLE WASHINGTON COMPUTATIONAL BIOLOGY Job
5.4 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
5.6 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
5.6 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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1.2k
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Job: Bioinformatics Analyst I-II, Prostate Cancer Program - Fred Hutch (Seattle, WA)
Bioinformatics research seattle Job
6.1 years ago Fred Hutch (Recruiting) ▴ 40
0
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0
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1.3k
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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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1.0k
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Job: Post-Doctoral Research Fellow, Cancer Genomics (Fred Hutch - Seattle, WA)
job seattle Job
6.4 years ago Fred Hutch (Recruiting) ▴ 40
0
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0
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1.1k
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Job: Bioinformatics Analyst II, Genomics Shared Resource (Fred Hutchinson Cancer Research Center Seattle, WA)
jobs seattle bioinformatics Job
6.4 years ago Fred Hutch (Recruiting) ▴ 40
2
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3.4k
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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: DESeq2 for candidate gene analysis by horrible.junglefowl.xkxi • 0
The free online calculator has become an indispensable tool in our digital world. Its versatility, accessibility, and ease of use make it a…
Comment: DESeq2 for candidate gene analysis by piffelpaff ▴ 10
thank you so much for answering Dr. Love!
Answer: DESeq2 for candidate gene analysis by Michael Love 43k
Your plan 1 is reasonable. Run DESeq2 on the whole dataset to obtain size factors and moderated dispersion estimates and then extract the u…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by James W. MacDonald 68k
Oh. ``` > z <- read10xCounts(c(tmpdir, tmpdir), mtx.class = "SVT_SparseMatrix", delayed = TRUE) > class(counts(z)) [1] "DelayedMatrix" att…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by James W. MacDonald 68k
That's weird. Using the example data works for me. ``` > example(read10xCounts) rd10xC> # Mocking up some 10X genomics output. rd10xC> ex…
Votes
Answer: DESeq2 for candidate gene analysis
DESeq2 for candidate gene analysis
Join BOC Sciences at Drug Discovery Chemistry
Drug datasets for RNA-seq
Comment: Check removeBatchEffect effectiveness
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