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GFF3
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2.2k
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DEXSeq Python script dexseq_prepare_annotation.py unable to process my .gtf file
dexseq
python
gtf
gff3
annotation
5.6 years ago • updated 5.5 years ago
Raito92
▴ 60
2
votes
2
replies
2.7k
views
Filtering GFF3 file
annotation
gff3
gff
genome
updated 6.2 years ago by
Michael Lawrence
★ 11k • written 6.2 years ago by
mictadlo
▴ 10
0
votes
0
replies
1.4k
views
I need to measure distance of PAR-CLIP data to RNA regions
parclip
bedtools
bed files
gff3
7.8 years ago
linuxborg2
• 0
2
votes
2
replies
5.4k
views
How to prepare TxDb object using makeTxDbFromGFF with polycistronic transcripts?
txdb
gff3
polycistronic transcript
8.0 years ago
Piotr Gawronski
• 0
9
votes
3
replies
4.0k
views
Importing Gene Symbols with makeTxDbFromGFF
GenomicFeatures
GFF3
updated 8.7 years ago by
Valerie Obenchain
★ 6.8k • written 8.7 years ago by
Dario Strbenac
★ 1.6k
2
votes
0
replies
4.4k
views
News:
Gencode GFF3 and FASTA files now available via AnnotationHub
AnnotationHub
Gencode
GFF3
FASTA
News
10.2 years ago
Sonali Arora
▴ 390
6 results • Page
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Answer: How can I correctly use phyloseq with Docker?
by
Kevin Blighe
★ 4.0k
The Bioconductor version must be compatible with the R version. Bioconductor version 3.18 is compatible with R version 4.3. The Dockerfile …
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by
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Your proposed code is correct and will achieve the desired outcome. The boolean filter expression `IFNg & TNFa | IFNg & IL2 | TNFa & IL2` i…
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by
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The Dockerfile that you have provided is appropriate for installing DESeq2 and apeglm from Bioconductor release 3.10, which corresponds to …
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by
Kevin Blighe
★ 4.0k
Hello Luna. The findUORFs function in ORFik identifies upstream open reading frames by extracting and concatenating the sequences of exo…
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Answer: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
Comment: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
Answer: Post translational modifications and phosphoproteomics in limpa?
Answer: Post translational modifications and phosphoproteomics in limpa?
Answer: Identifying differentially expressed genes in individual samples from a large co
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