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geneticsped
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accesing gene name RNAseq
genetics
GeneticsPed
Genetics
2.0 years ago
Gülsüm
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Job:
Scientist/Senior Scientist, Statistical Geneticist
Sequencing
Genetics
GeneticsPed
statistics
4.9 years ago
António Miguel de Jesus Domingues
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GeneticsPed Pedigree object creation error: recursive indexing failed at level 2
Genetics
GeneticsPed
Genetics
GeneticsPed
updated 12.3 years ago by
Dan Tenenbaum
★ 8.2k • written 12.3 years ago by
Liz Hare
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R-genetics and Bioconductor for quantitative genetics
Genetics
GeneticsPed
Genetics
GeneticsPed
updated 17.1 years ago by
Vincent J. Carey, Jr.
6.7k • written 17.1 years ago by
Paolo Innocenti
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Comment: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
by
Ahmed Salah
• 0
Thank you very much, @ATpoint and @kevin , for your valuable insights. I have carefully checked all your suggestions. First, I examined th…
Answer: Finding duplicated entries in GRangesList
by
Kevin Blighe
★ 4.0k
The duplicated and unique functions operate element-wise on GRangesList objects. This means that they apply the respective function to each…
Answer: DESeq2 on non-RNASeq counts data
by
Kevin Blighe
★ 4.0k
The use of DESeq2 for count data from artificial sequences is acceptable, as the program models counts via a negative binomial distribution…
Answer: After running samtools, the featureCounts command crashed.
by
Kevin Blighe
★ 4.0k
Hello Rui Tang, The buffer overflow error in featureCounts that you encountered is likely due to a compatibility issue between the Subre…
Answer: Problem with the TMB plot
by
Kevin Blighe
★ 4.0k
The issue that you describe with the tumor mutational burden (TMB) plots appearing linear and lacking consistent TMB values across samples …
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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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