Literature DB >> 29757692

Integrative omics - from data to biology.

Hassan Dihazi1,2, Abdul R Asif1,3, Tim Beißbarth1,4, Rainer Bohrer1,5, Kirstin Feussner6,7, Ivo Feussner6,7, Olaf Jahn1,8, Christof Lenz1,3,9, Andrzej Majcherczyk1,10, Bernhard Schmidt1,11, Kerstin Schmitt1,12, Henning Urlaub1,3,9, Oliver Valerius1,12.   

Abstract

INTRODUCTION: Multi-omic approaches are promising a broader view on cellular processes and a deeper understanding of biological systems. with strongly improved high-throughput methods the amounts of data generated have become huge, and their handling challenging. Area Covered: New bioinformatic tools and pipelines for the integration of data from different omics disciplines continue to emerge, and will support scientists to reliably interpret data in the context of biological processes. comprehensive data integration strategies will fundamentally improve systems biology and systems medicine. to present recent developments of integrative omics, the göttingen proteomics forum (gpf) organized its 6th symposium on the 23rd of november 2017, as part of a series of regular gpf symposia. more than 140 scientists attended the event that highlighted the challenges and opportunities but also the caveats of integrating data from different omics disciplines. Expert commentary: The continuous exponential growth in omics data require similar development in software solutions for handling this challenge. Integrative omics tools offer the chance to handle this challenge but profound investigations and coordinated efforts are required to boost this field.

Keywords:  Multi-omics approaches; bioinformatic; biostatistics; integrative omics; systems biology

Mesh:

Year:  2018        PMID: 29757692     DOI: 10.1080/14789450.2018.1476143

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  4 in total

1.  Multiset sparse partial least squares path modeling for high dimensional omics data analysis.

Authors:  Attila Csala; Aeilko H Zwinderman; Michel H Hof
Journal:  BMC Bioinformatics       Date:  2020-01-09       Impact factor: 3.169

Review 2.  Nutrition and Rheumatoid Arthritis in the 'Omics' Era.

Authors:  Manuela Cassotta; Tamara Y Forbes-Hernandez; Danila Cianciosi; Maria Elexpuru Zabaleta; Sandra Sumalla Cano; Irma Dominguez; Beatriz Bullon; Lucia Regolo; Josè Miguel Alvarez-Suarez; Francesca Giampieri; Maurizio Battino
Journal:  Nutrients       Date:  2021-02-26       Impact factor: 5.717

3.  Multi-omics protein-coding units as massively parallel Bayesian networks: Empirical validation of causality structure.

Authors:  Alberto Zenere; Olof Rundquist; Mika Gustafsson; Claudio Altafini
Journal:  iScience       Date:  2022-03-11

Review 4.  On the Road to Accurate Biomarkers for Cardiometabolic Diseases by Integrating Precision and Gender Medicine Approaches.

Authors:  Letizia Scola; Rosa Maria Giarratana; Salvatore Torre; Vincenzo Argano; Domenico Lio; Carmela Rita Balistreri
Journal:  Int J Mol Sci       Date:  2019-11-29       Impact factor: 5.923

  4 in total

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