#scRNA_seq

2024-09-14

Just published: UMAPs have become a very popular tool for visualizing high-dimensional data in biology, but they have significant drawbacks. In doi.org/10.1186/s12859-024-059 Kitanovski et al describe scBubbletree (sc because our focus is on single cell data) as a better alternative: it is easier to interpret, quantitative, and allows for integration of different types of data. The method is implemented in a free, open source R package (bioconductor.org/packages/rele). I am sure that this type of quantitative visualization is beneficial beyond single cell gene expression data.

#umap #scRNA_seq #bioinformatics

2024-05-15

PhD

Justus Liebig University Giessen Germany

Interested in specializing in macrophage biology and utilizing cutting-edge technologies? Apply now for this PhD opportunity.

See the full job description on jobRxiv: jobrxiv.org/job/justus-liebig-

#bioinformatics #codex #flow_cytometry #macrophage #scrna_seq #ScienceJobs #hiring #research
jobrxiv.org/job/justus-liebig-

2024-05-09

PhD

Justus Liebig University Giessen Germany

Interested in specializing in macrophage biology and utilizing cutting-edge technologies? Apply now for this PhD opportunity.

See the full job description on jobRxiv: jobrxiv.org/job/justus-liebig-

#bioinformatics #codex #flow_cytometry #macrophage #scrna_seq #ScienceJobs #hiring #research
jobrxiv.org/job/justus-liebig-

SIB Swiss BioinformaticsSIB@mstdn.science
2024-02-07

Need to integrate #SingleCellOmics datasets? This new paper by SIB's @Carmona et al.
introduces STACAS, a flexible framework to reduce batch effect in #scrna_seq data by taking advantage of prior cell type knowledge nature.com/articles/s41467-024

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