Bioconductor Nimblegen

Showing : nimblegen • reset

1

vote

4

replies

5.8k

views

Microarray Preprocessing NimbleGen Normalization

written 2.9 years ago by Sarah • 0

0

votes

1

reply

815

views

nimblegen pair

updated 4.5 years ago by James W. MacDonald 68k • written 4.5 years ago by Dhanya • 0

0

votes

3

replies

1.5k

views

nimblegen Biomart Uniprot

updated 8.9 years ago by Gordon Smyth 53k • written 8.9 years ago by theobroma22 ▴ 10

3 results • Page 1 of 1

Recent ...

Replies

Comment: Interpretation of output of AffyRNAdeg and hist commands by debasainalsa • 0

When working with AffyRNAdeg output it helps to think of the table like browsing a HEYTEA Menu each row shows a feature of your slides and …

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…

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

Answer: DESeq2 for candidate gene analysis

DESeq2 for candidate gene analysis

Join BOC Sciences at Drug Discovery Chemistry

Awards • All