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seattle
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1
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replies
1.3k
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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
vote
0
replies
1.3k
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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
0
votes
0
replies
1.1k
views
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
0
votes
0
replies
1.3k
views
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
vote
0
replies
1.3k
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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
votes
0
replies
1.2k
views
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
votes
0
replies
1.3k
views
Job:
Bioinformatics Analyst II, Genomics Shared Resource (Seattle, WA)
GENOMICS
BIOINFORMATICS
SEATTLE
R
PYTHON
Job
6.2 years ago
Fred Hutch (Recruiting)
▴ 40
0
votes
0
replies
1.0k
views
Job:
Post-Doctoral Research Fellow, Cancer Genomics (Fred Hutch - Seattle, WA)
job
seattle
Job
6.4 years ago
Fred Hutch (Recruiting)
▴ 40
0
votes
0
replies
1.1k
views
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
votes
0
replies
3.4k
views
Job:
Bioconductor core team
job
bioconductor
seattle
Job
11.0 years ago
Martin Morgan
25k
10 results • Page
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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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