Bioconductor UCSCtrack

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1.8k

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Gviz protein visualization UcscTrack protein domains

updated 5.1 years ago by James W. MacDonald 68k • written 5.1 years ago by paul.jaschke ▴ 10

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1.6k

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rtracklayer UCSC ucsctrack

updated 7.8 years ago by James W. MacDonald 68k • written 7.8 years ago by zhangqshxxzz • 0

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5.0k

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gviz ucsctrack hgnc

updated 8.4 years ago by James W. MacDonald 68k • written 8.4 years ago by Greg G. • 0

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3.6k

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Gviz-package biomart plottracks ucsctrack stickleback

updated 8.6 years ago by florian.hahne@novartis.com ★ 1.6k • written 8.6 years ago by br • 0

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3.6k

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ucsc ucsctrack ggbio Gviz hg19

updated 8.6 years ago by maximilianh ▴ 10 • written 8.6 years ago by metamaden ▴ 10

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1.4k

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gviz ucsctrack genesymbols

9.0 years ago dmb107 • 0

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1.3k

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givz UcscTrack

9.1 years ago shuoguo ▴ 10

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1.2k

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Gviz gene names thinBoxFeature UCSCtrack

9.2 years ago angela.heck • 0

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2.2k

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gviz BED Ucsc UcscTrack

9.8 years ago Andy91 ▴ 60

9 results • Page 1 of 1

Recent ...

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Comment: Help with defining groups by Phinney, Brett ▴ 10

I got it working , thank you!!!

Comment: Check removeBatchEffect effectiveness by massimo • 0

I would kindly ask for additional support. When not including the design_timepoint argument in removeBatchEffect and thus keeping the inter…

Comment: Error Loading Experiment from SimBenchData Package by ksankaran • 0

Aha, that was it! The object was class Seurat, but I didn't have it installed. After installing, everything works as expected.

Comment: Streamlining the computing time for MiloDE p-value correction in large dataset? by ATpoint ★ 5.0k

Is a method that is so computationally expensive really beneficial and necessary? You seem to have biological replication, don't you, so ps…

Answer: NA values for DESeq2 p-values and adjusted p-values using large sample sizes by ATpoint ★ 5.0k

Outliers without replacement, independent filtering or all-zero counts for that gene. That's the three options that trigger NAs https://bio…

Votes

Comment: Check removeBatchEffect effectiveness

Gene expression associated with continuous (quantitative) traits (Limma/edgeR/correlation)

Answer: Error Loading Experiment from SimBenchData Package

Comment: incomplete imputation of missing values with LEA impute() function

Answer: Expected memory usage for analyzing large single-cell seq datasets (> 450,000 ce

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