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Provide trainings with details about the algorithms of the main analysis to help user really understand what is happening .
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First of all thank you for this nice tool.
I run nebula for differential expression analysis between 2 groups and I realised that my top (by logFC) significant genes are mostly driven by some outlie…
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Hello Alex, I have paired-end rna-seq of 50 samples of human. I have already done the mapping using STAR and the reference file that mentioned in the documentation (https://github.com/alexdobin/STAR/b…
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R package available from https://github.com/mritchie/RNAseq123_BioC2019
The vignette to be used (limmaWorkflow.Rmd) needs some edits to add learning objectives at the beginning etc, which I will do o…
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I have recently started using imfusion for RNA seq analysis. Thanks for the nice tool. I wanted to generate the insertion plots. I am getting error while following the SB-Analysis notebook. I performi…
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Dear Author,
Thank you for the wonderful tool.
I wonder if it can analysis Smart-seq2 full length single cell RNA-seq data as well.
If it can, what should be come for --tech ?
Best
Heo
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Hello,
I have some clusters with differentially expresses genes generated using Seurat. I also have a highly curated gene list and I wish to perform enrichment analysis using these on each cluster …
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We've started implementation of a Multimeasure class, which holds multiple AnnData objects (https://github.com/theislab/anndata). These AnnData objects are the primary object used by scanpy (https://g…
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# Exploratory analysis of big biological data in R (a short course)
## Pre-learning
- Datacamp
## Classes
1. Tidy data. dplyr.
2. More tidy data. tidyr. ggplot2.
3. Genomics example…