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Job: PhD position: Analysis of epistatic interactions in enzymes using long-read sequencing data
NGS AI Bioconductor
updated 8 months ago by ▴ 10 • written 8 months ago by ▴ 180
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Job: Postdoc+PhD position: AI large-language models of single-cell data for cancer immunogenomics
JobPosting AI HPC CuratedAtlasQueryR
10 months ago Stefano Mangiola ▴ 40
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News: EMBO|EMBL Conference "AI and Biology"
EMBL Heidelberg AI Conference
17 months ago Wolfgang Huber ★ 13k
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Job: Group Leader (Machine Learning/AI), Centre for Molecular Medicine, University of Oslo
Biology AI Machinelearning Precisionmedicine Norway
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Job: International PhD rotation students at FIMM-EMBL/DSHealth (University of Helsinki) in Molecular Medicine, Genomics, Bioinformatics, Neuroscience, Com…
ComputationalBiomedicine AI UniversityHelsinki PhD Bioinformatics
3.3 years ago Alyce • 0
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Job: 2 postdoc positions at Lund University, Sweden
CancerMutationAnalysis AI variationinterpreation
4.4 years ago a1mauno • 0
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Comment: Differing results with DESeq2 by JKim • 0
My two cents. I think it would be more straightforward if you use cellmeans model. Have a look at [A guide to creating design matrices for …
Answer: CluserProfiler message "No gene can be mapped" by James W. MacDonald 68k
Your gene IDs are things like this: `Mpyr-NLJ1B.v3.hap1.scaffold1.g290550`, and the genes in your term2gene table are things like this: `Mp…
Answer: RNA-seq input to GRaNIE by James W. MacDonald 68k
This is [covered in the vignette.][1] [1]: https://bioconductor.org/packages/release/bioc/vignettes/GRaNIE/inst/doc/GRaNIE_packageDe…
Answer: Help using reduceSimMatrix with a custom annotation by sergisayolspuig ▴ 80
Hi there, `reduceSimMatrix()` expects a "GOALL" keytype in the OrgDb object when called with `children=TRUE` (which is the default for thi…
Answer: Analyzing TnSeq data with DESeq2 by cold.wolverine.arku • 0
That's a great use case of DESeq2! Even though it's not specifically tailored for TnSeq data, your approach to normalize and run explorator…
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remove X and Y chromosome genes in RNA-seq data using DESeq2 pipeline
How to remove X & Y chromosome genes from RNAseq data
Is it advisable to remove X and Y chromosome genes in mouse bulk RNA-seq data at the level of the count matrix?
A: Unbalanced experiment with multiple samples from each patient.
A: Understanding contrasts limma
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