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Big data
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Job:
Postdoc and PhD student in Bioinformatics/Biostatistics
NGS
R
statistics
genomics
big data
Job
6.7 years ago • updated 5.9 years ago
Luo Weijun
★ 1.6k
0
votes
0
replies
1.2k
views
Job:
Data Manager - BC Cancer Research Center, Vancouver BC
computational
genomic
big data
bioinformatics
Job
6.4 years ago
jmaanaki
• 0
0
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0
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1.3k
views
Job:
Postdoctoral positions in drug discovery and genome data science
computational biology
biostatistics
big data
data science
drug discovery
Job
6.7 years ago
Thomas Girke
★ 1.7k
1
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2
replies
1.4k
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How to handle big data sets (>10GB) in Bioconductor packages?
big data
methylmix
memory problem
updated 7.1 years ago by
Martin Morgan
25k • written 7.1 years ago by
perdedorium
• 0
1
vote
1
reply
1.5k
views
Subsetting Rle with ORF-sequence-positions by the 3 frames
Rle
Big data
coverageByTranscript
7.5 years ago
hauken_heyken
▴ 80
0
votes
0
replies
1.7k
views
What is the recommended method for running WGCNA on large metatranscriptomic dataset?
wgcna
transcriptome
big data
metagenomics
gene expression
7.7 years ago
jol.espinoz
▴ 40
3
votes
1
reply
1.7k
views
AnnotationHub: confusing pValue/qValue for (some) Roadmap records
roadmap project
annotationhub
epigenomics
big data
updated 9.5 years ago by
Valerie Obenchain
★ 6.8k • written 9.5 years ago by
kevin.rue
▴ 350
0
votes
0
replies
2.5k
views
Job:
Postdoctoral Research Associate Position- Harvard Medical School (Probabilistic Algorithms and Software for Biomedical Big Data)
Probabilistic Algorithms
Big Data
Job
10.5 years ago
Doe, Aimee
▴ 40
8 results • Page
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Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
James W. MacDonald
68k
Aaron already answered your question. If you have an HDF5 file, it will be read in as a `TENxMatrix` object, which isn't actually read in -…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
dan.gatti
• 0
Very strange. We have the same package versions. I tried adding the mtx.class, type, and delayed arguments, but it's still making the coun…
Comment: DESeq2 for candidate gene analysis
by
piffelpaff
▴ 20
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…
Votes
A: Multi-level experiments in Limma
Answer: Should voomWithQualityWeights still be used when the sample-specific weights var
Answer: DESeq2 for candidate gene analysis
DESeq2 for candidate gene analysis
Answer: DESeq2 for candidate gene analysis
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