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Job:
Postdoctoral Position in Bioinformatics to study Gene Regulatory Networks (University of Basel, Basel, Switzerland)
PostDoc
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Basel
Switzerland
4.0 years ago
Robert Ivanek
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Job:
Bioinformatician in Core Facility (100%)
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Switzerland
Basel
written 4.7 years ago by
Robert Ivanek
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Job:
Computational biology of cancer (Postdoc Position)
JobPosting
Basel
Switzerland
4.9 years ago
Robert Ivanek
▴ 750
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Job:
Data Scientist Proteomics (100%), Biozentrum, University of Basel, Switzerland
Switzerland
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Basel
Proteomics
5.0 years ago
Robert Ivanek
▴ 750
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Job:
Bioinformatician in Experimental Cancer Research (80-100%)
Switzerland
Bioconductor
Basel
job
5.0 years ago
Robert Ivanek
▴ 750
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Job:
Postdoctoral Fellow in Genomics (University of Basel, Switzerland)
PostDoc
Basel
Switzerland
Job
6.7 years ago
Robert Ivanek
▴ 750
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1.4k
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Job:
Postdoctoral Position: Posttranscriptional gene regulation in T cells (analysis of RNAseq, metabolomics)
Basel
switzerland
RNAseq
metabolomics
Job
7.6 years ago
Robert Ivanek
▴ 750
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1.8k
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Job:
PostDoc Position in Computational Biology of Gene Regulatory Networks and Epigenetics, University of Basel, Switzerland
bioinformatician job
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Job
9.3 years ago
Robert Ivanek
▴ 750
8 results • Page
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Comment: upstream git branches of bioc-release
by
TrentonCollier99
• 0
Thank you very much for taking the time to answer the question. I really appreciate your insights and comments. https://bioc-release.r-univ…
Comment: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
by
Ahmed Salah
• 0
Thank you very much! will take that into consideration
Comment: Large logFC but somewhat high FDR
by
JKim
• 0
Thank you very much for taking the time to answer the question. I really appreciate your insights and comments.
Comment: upstream git branches of bioc-release
by
Jeroen
▴ 10
OK I have updated https://bioc-release.r-universe.dev accordingly. Let me know if you find version differences when mirroring binaries.
Comment: Large logFC but somewhat high FDR
by
Gordon Smyth
53k
I don't know what `tp1` is. The relevant histogram would be: ``` hist(fit2$p.value[,"KO_vs_WT"]) ```
Votes
Comment: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
Answer: Large logFC but somewhat high FDR
Comment: upstream git branches of bioc-release
Comment: upstream git branches of bioc-release
Comment: upstream git branches of bioc-release
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