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Survey for genetics labs: how do you store & manage your data?
Sequencing Genetics PROcess Sequencing Genetics PROcess
17.8 years ago Matthew Keller ▴ 100
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Off topic - JOB
SNP Sequencing Proteomics SNP Sequencing Proteomics
updated 17.8 years ago by ▴ 70 • written 17.8 years ago by ★ 1.1k
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Opinions on array design, normalization, and linear modeling with LIMMA
Sequencing Coverage Normalization limma Sequencing Coverage Normalization limma
updated 18.0 years ago by ▴ 60 • written 18.0 years ago by ▴ 890
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Masamb-2005 conference announcement
Sequencing Genetics Sequencing Genetics
20.8 years ago Wolfgang Huber ★ 13k
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Conference announcement: MASAMB-2005
Sequencing Genetics Sequencing Genetics
20.9 years ago Wolfgang Huber ★ 13k
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2-colour bias AFTER normalising with Limma, labelling QC
Sequencing GO Sequencing GO
21.2 years ago michael watson IAH-C ★ 3.4k
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Statisticians - Genome Institute of Singapore
Sequencing Genetics Cancer Sequencing Genetics Cancer
22.0 years ago Adaikalavan RAMASAMY ▴ 80
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Phylogenetic inference
Sequencing Sequencing
updated 22.8 years ago by ▴ 530 • written 22.8 years ago by ▴ 10
308 results • Page 7 of 7
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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…
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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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