نتایج جستجو برای: omics

تعداد نتایج: 6640  

Journal: :Genetic epidemiology 2015
Brunilda Balliu Roula Tsonaka Stefan Boehringer Jeanine Houwing-Duistermaat

Integrative omics, the joint analysis of outcome and multiple types of omics data, such as genomics, epigenomics, and transcriptomics data, constitute a promising approach for powerful and biologically relevant association studies. These studies often employ a case-control design, and often include nonomics covariates, such as age and gender, that may modify the underlying omics risk factors. A...

Journal: :Expert Review of Proteomics 2006

Journal: :Investigative ophthalmology & visual science 2017
Susette Lauwen Eiko K de Jong Dirk J Lefeber Al den Hollander

"Omics" refers to high-throughput analyses of genes, proteins, or metabolites in a biological system, and is increasingly used for ophthalmic research. These system-based approaches can unravel disease-related processes and are valuable for biomarker discovery. Furthermore, potential therapeutic targets can be identified based on omics results, and targeted follow-up experiments can be designed...

2015
Takeru Uchiyama Mitsuru Irie Hiroshi Mori Ken Kurokawa Takuji Yamada

Exponential growth of high-throughput data and the increasing complexity of omics information have been making processing and interpreting biological data an extremely difficult and daunting task. Here we developed FuncTree (http://bioviz.tokyo/functree), a web-based application for analyzing and visualizing large-scale omics data, including but not limited to genomic, metagenomic, and transcri...

Journal: :Bioinformatics 2015
Kathleen M. Fisch Tobias Meißner Louis Gioia Jean-Christophe Ducom Tristan M. Carland Salvatore Loguercio Andrew I. Su

MOTIVATION Omics Pipe (http://sulab.scripps.edu/omicspipe) is a computational framework that automates multi-omics data analysis pipelines on high performance compute clusters and in the cloud. It supports best practice published pipelines for RNA-seq, miRNA-seq, Exome-seq, Whole-Genome sequencing, ChIP-seq analyses and automatic processing of data from The Cancer Genome Atlas (TCGA). Omics Pip...

2016
Eria A Rebollar Rachael E Antwis Matthew H Becker Lisa K Belden Molly C Bletz Robert M Brucker Xavier A Harrison Myra C Hughey Jordan G Kueneman Valerie McKenzie Daniel Medina Kevin PC Minbiole Louise A Rollins-Smith Jennifer B Walke Sophie Weiss Douglas C Woodhams Reid N Harris

37 38 Running title: Using multi-omics for probiotic selection 39 40

2016
Chen Meng

2 Run mogsa 1 2.1 Quick start . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Result analysis and interpretation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.3 Plot gene sets in projected space . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.4 Perform MOGSA in two steps ....

2014
Ngan Kim Nguyen

Addressing the Omics Data Explosion: a Comprehensive Reference Genome Representation and the Democratization of Comparative Genomics and Immunogenomics

Journal: :Nature Communications 2021

Abstract To fully utilize the advances in omics technologies and achieve a more comprehensive understanding of human diseases, novel computational methods are required for integrative analysis multiple types data. Here, we present multi-omics method named Multi-Omics Graph cOnvolutional NETworks (MOGONET) biomedical classification. MOGONET jointly explores omics-specific learning cross-omics co...

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