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https://orcid.org/0000-0001-9209-5403 0000-0001-9209-5403

Sebastian Gregoricchio, Ph.D.

Molecular and computational biologist at the Netherlands Cancer Institute (Amsterdam, The Netherlands). My research is focussed on cancer epigenomics and gene (de)regulation.

Expertises:

  • Epigenomic profiling: ChIP-seq, ATAC-seq, CUT&Tag/RUN
  • Transcriptomics: RNA-seq
  • 3D genome organization: Hi-C, 4C-seq
  • Interactome: RIME and IP-MS

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  1. Rseb Rseb Public

    An R-package for daily tasks required to handle biological data as well as avoid re-coding of small functions for quick but necessary data management.

    R 1

  2. SPACCa SPACCa Public

    Snakemake Pipeline for the Analyses of ChIP-seq data in Cancer samples

    Python

  3. DEprot DEprot Public

    Package to impute, normalize and perform differential analyses on proteomics data (LFQ-based)

    R

  4. snakeATAC snakeATAC Public

    Snakemake pipeline for analysis and normalization of ATAC-seq data starting from fastq.gz files.

    Python 2

  5. ChIP_Zwart ChIP_Zwart Public

    ChIP-seq pipeline specific for the Zwart lab

    Python

  6. snHiC snHiC Public

    Snakemake pipeline for analysis and normalization of Hi-C data starting from fastq.gz files. It includes the possibility to perform grouped analyses, TAD, loops and stripes detections, as well as d…

    Python 3