Dr Pedro Madrigal | Visiting Scientist

Madrigal, Pedro

Computational stem cell biology

Publications

  • Reconstruction of the mouse extrahepatic biliary tree using primary human extrahepatic cholangiocyte organoids.

    Sampaziotis F, Justin AW, Tysoe OC, Sawiak S, Godfrey EM et al.

    Nature medicine 2017;23;8;954-963

  • fCCAC: functional canonical correlation analysis to evaluate covariance between nucleic acid sequencing datasets.

    Madrigal P

    Bioinformatics (Oxford, England) 2017;33;5;746-748

  • Initiation of stem cell differentiation involves cell cycle-dependent regulation of developmental genes by Cyclin D.

    Pauklin S, Madrigal P, Bertero A and Vallier L

    Genes & development 2016;30;4;421-33

  • A survey of best practices for RNA-seq data analysis.

    Conesa A, Madrigal P, Tarazona S, Gomez-Cabrero D, Cervera A et al.

    Genome biology 2016;17;13

  • Cholangiocytes derived from human induced pluripotent stem cells for disease modeling and drug validation.

    Sampaziotis F, de Brito MC, Madrigal P, Bertero A, Saeb-Parsy K et al.

    Nature biotechnology 2015;33;8;845-852

  • Activin/nodal signaling and NANOG orchestrate human embryonic stem cell fate decisions by controlling the H3K4me3 chromatin mark.

    Bertero A, Madrigal P, Galli A, Hubner NC, Moreno I et al.

    Genes & development 2015;29;7;702-17

  • Uncovering correlated variability in epigenomic datasets using the Karhunen-Loeve transform.

    Madrigal P and Krajewski P

    BioData mining 2015;8;20

  • Combinatorial activities of SHORT VEGETATIVE PHASE and FLOWERING LOCUS C define distinct modes of flowering regulation in Arabidopsis.

    Mateos JL, Madrigal P, Tsuda K, Rawat V, Richter R et al.

    Genome biology 2015;16;31

  • Practical guidelines for the comprehensive analysis of ChIP-seq data.

    Bailey T, Krajewski P, Ladunga I, Lefebvre C, Li Q et al.

    PLoS computational biology 2013;9;11;e1003326

  • Dynamics of chromatin accessibility and gene regulation by MADS-domain transcription factors in flower development.

    Pajoro A, Madrigal P, Muiño JM, Matus JT, Jin J et al.

    Genome biology 2014;15;3;R41

  • Current bioinformatic approaches to identify DNase I hypersensitive sites and genomic footprints from DNase-seq data.

    Madrigal P and Krajewski P

    Frontiers in genetics 2012;3;230

  • On Accounting for Sequence-Specific Bias in Genome-Wide Chromatin Accessibility Experiments: Recent Advances and Contradictions.

    Madrigal P

    Frontiers in bioengineering and biotechnology 2015;3;144

Madrigal, Pedro
Pedro's Timeline
2016

Professor Stefan Barbacki's Award 2015

2015

Ph.D. in Biological Sciences (Bioinformatics) - Adam Mickiewicz University in Poznań

2010

Marie Curie Early Stage Research Fellow in Bioinformatics - Institute of Plant Genetics, Polish Academy of Sciences

MSc in Telecommunications Engineering - Polytechnic University of Cartagena, Spain

2009

IT Analyst - HCL Technologies

Matlab programmer (EU Leonardo da Vinci Trainee) - Institute of Nuclear Physics PAN