Bioconductor LocateVariants

Showing : locateVariants • reset

votes

replies

2.9k

views

MetID TxDB.Hsapiens.UCSC.hg38.knownGene locateVariants GenomicFeatures VariantAnnotation

2.6 years ago davidhillis • 0

votes

909

views

genomiclocation canonicaltranscripts locateVariants

updated 4.1 years ago by James W. MacDonald 68k • written 4.1 years ago by Paola • 0

votes

replies

1.9k

views

variantannotation locatevariants metadata mcols

updated 7.9 years ago by Valerie Obenchain ★ 6.8k • written 7.9 years ago by enricoferrero ▴ 680

votes

1.5k

views

variantannotation predict coding locateVariants granges

8.0 years ago tony j • 0

votes

replies

2.0k

views

locatevariants txdb.hsapiens.ucsc.hg19.knowngene variantannotation

8.2 years ago Aleksandra • 0

votes

replies

1.9k

views

txdb.hsapiens.ucsc.hg19.knowngene ucsc annotation locatevariants variantannotation

updated 8.3 years ago by Valerie Obenchain ★ 6.8k • written 8.3 years ago by Lna • 0

vote

replies

3.7k

views

locatevariants variantannotation genomicfeatures

updated 9.0 years ago by Michael Lawrence ★ 11k • written 9.0 years ago by Lna • 0

vote

replies

2.6k

views

variantannotation locatevariants

10.2 years ago Jakob Goldmann • 0

8 results • Page 1 of 1

Recent ...

Replies

Comment: Issue with Soft-Thresholding in WGCNA by jun • 0

[Snow Rider 3D][1] offers a unique blend of excitement and strategy! Master your snowboarding techniques, explore breathtaking landscapes, …

Answer: Issue with Soft-Thresholding in WGCNA by misty.chickadee.vckc • 0

Hi Maria, your detailed explanation is super helpful! The NA power estimate in WGCNA can be tricky. I've sometimes seen that when the data …

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…

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

Awards • All