Search Results - "Gut, Ivo"

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    Runs of homozygosity reveal signatures of positive selection for reproduction traits in breed and non-breed horses by Metzger, Julia, Karwath, Matthias, Tonda, Raul, Beltran, Sergi, Águeda, Lídia, Gut, Marta, Gut, Ivo Glynne, Distl, Ottmar

    Published in BMC genomics (09-10-2015)
    “…Modern horses represent heterogeneous populations specifically selected for appearance and performance. Genomic regions under high selective pressure show…”
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    DNA methylation analysis by pyrosequencing by Tost, Jörg, Gut, Ivo G

    Published in Nature protocols (01-09-2007)
    “…Pyrosequencing is a sequencing-by-synthesis method that quantitatively monitors the real-time incorporation of nucleotides through the enzymatic conversion of…”
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    Machine learning and multi-omics data in chronic lymphocytic leukemia: the future of precision medicine? by Tsagiopoulou, Maria, Gut, Ivo G

    Published in Frontiers in genetics (2023)
    “…Chronic lymphocytic leukemia is a complex and heterogeneous hematological malignancy. The advance of high-throughput multi-omics technologies has significantly…”
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    Impact of DNA methylation on 3D genome structure by Buitrago, Diana, Labrador, Mireia, Arcon, Juan Pablo, Lema, Rafael, Flores, Oscar, Esteve-Codina, Anna, Blanc, Julie, Villegas, Nuria, Bellido, David, Gut, Marta, Dans, Pablo D., Heath, Simon C., Gut, Ivo G., Brun Heath, Isabelle, Orozco, Modesto

    Published in Nature communications (28-05-2021)
    “…Determining the effect of DNA methylation on chromatin structure and function in higher organisms is challenging due to the extreme complexity of epigenetic…”
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    bigSCale: an analytical framework for big-scale single-cell data by Iacono, Giovanni, Mereu, Elisabetta, Guillaumet-Adkins, Amy, Corominas, Roser, Cuscó, Ivon, Rodríguez-Esteban, Gustavo, Gut, Marta, Pérez-Jurado, Luis Alberto, Gut, Ivo, Heyn, Holger

    Published in Genome research (01-06-2018)
    “…Single-cell RNA sequencing (scRNA-seq) has significantly deepened our insights into complex tissues, with the latest techniques capable of processing tens of…”
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    Convert-Pheno: A software toolkit for the interconversion of standard data models for phenotypic data by Rueda, Manuel, Leist, Ivo C., Gut, Ivo G.

    Published in Journal of biomedical informatics (01-01-2024)
    “…[Display omitted] Efficient sharing and integration of phenotypic data is crucial for advancing biomedical research and enhancing patient outcomes in precision…”
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    Recurrent somatic mutations reveal new insights into consequences of mutagenic processes in cancer by Stobbe, Miranda D, Thun, Gian A, Diéguez-Docampo, Andrea, Oliva, Meritxell, Whalley, Justin P, Raineri, Emanuele, Gut, Ivo G

    Published in PLoS computational biology (01-11-2019)
    “…The sheer size of the human genome makes it improbable that identical somatic mutations at the exact same position are observed in multiple tumours solely by…”
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    DNA sequencing – spanning the generations by McGinn, Steven, Gut, Ivo Glynne

    Published in New biotechnology (25-05-2013)
    “…Nucleic acid sequencing is the mainstay of biological research. There are several generations of DNA sequencing technologies that can be well characterized…”
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    gemBS: high throughput processing for DNA methylation data from bisulfite sequencing by Merkel, Angelika, Fernández-Callejo, Marcos, Casals, Eloi, Marco-Sola, Santiago, Schuyler, Ronald, Gut, Ivo G, Heath, Simon C

    Published in Bioinformatics (01-03-2019)
    “…Abstract Motivation DNA methylation is essential for normal embryogenesis and development in mammals and can be captured at single base pair resolution by…”
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    MetaTrans: an open-source pipeline for metatranscriptomics by Martinez, Xavier, Pozuelo, Marta, Pascal, Victoria, Campos, David, Gut, Ivo, Gut, Marta, Azpiroz, Fernando, Guarner, Francisco, Manichanh, Chaysavanh

    Published in Scientific reports (23-05-2016)
    “…To date, meta-omic approaches use high-throughput sequencing technologies, which produce a huge amount of data, thus challenging modern computers. Here we…”
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