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@rajewsky-lab

Systems Biology of Gene Regulatory Elements (N. Rajewsky lab)

We work with high-throughput (mostly) sequencing data to learn about gene expression in time and space and combine this knowledge to decode how genomesutilize information at all levels, from basic mechanisms of gene expression to organismal or disease phenotypes.

Spatial and single-cell transcriptomics

Current areas of active development

miRNAs

A lot of work by present and former lab members has been -- and continues to be -- focused on small RNAs, most importantly miRNAs.Please also have a look at these repositories, currently maintained by Dr. Sebastian Mackowiak:

micropeptides

If you are here because of very small ORFs, which are however deeply conserved in a pattern analogous to larger protein coding sequences,have a look athttps://github.com/Drmirdeep/micpdp .

and much more...

There are plenty of other software packages that might be of interest to you. Too many to pin here on github unfortunately...So make sure you have a look at the entire list below before moving on ;)

PinnedLoading

  1. openstopenstPublic

    Open-ST: profile and analyze tissue transcriptomes in 3D with high resolution in your lab

    HTML 101 18

  2. spacemakespacemakePublic

    Python 44 12

  3. novosparcnovosparcPublic

    Jupyter Notebook 130 42

  4. find_circ2find_circ2Public

    Find circRNAs in RNA-seq data.

    Python 14 6

  5. stimwrapstimwrapPublic

    Jupyter Notebook 7 3

  6. FLAMAnalysisFLAMAnalysisPublic

    Data Analysis For FLAM-Seq Third Generation RNA Sequencing

    Python 7 3

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