Mergeomics: multidimensional data integration to identify pathogenic perturbations to biological systems

Le Shu, Yuqi Zhao, Zeyneb Kurt, Sean Geoffrey Byars, Taru Tukiainen, Johannes Kettunen, Luz D. Orozco, Matteo Pellegrini, Aldons J. Lusis, Samuli Ripatti, Bin Zhang, Michael Inouye, Ville-Petteri Makinen, Xia Yang

Research output: Contribution to journalArticleScientificpeer-review

Original languageEnglish
Article number874
JournalBMC Genomics
Volume17
Number of pages16
ISSN1471-2164
DOIs
Publication statusPublished - 4 Nov 2016
MoE publication typeA1 Journal article-refereed

Fields of Science

  • Mergeomics
  • Integrative genomics
  • Multidimensional data integration
  • Functional genomics
  • Gene networks
  • Key drivers
  • Cholesterol
  • Blood glucose
  • GENOME-WIDE ASSOCIATION
  • GENE-EXPRESSION PROFILES
  • SET ENRICHMENT ANALYSIS
  • R PACKAGE
  • DISEASE
  • MICE
  • LOCI
  • TRAITS
  • DISCOVERY
  • NETWORKS
  • 3111 Biomedicine

Cite this

Shu, Le ; Zhao, Yuqi ; Kurt, Zeyneb ; Byars, Sean Geoffrey ; Tukiainen, Taru ; Kettunen, Johannes ; Orozco, Luz D. ; Pellegrini, Matteo ; Lusis, Aldons J. ; Ripatti, Samuli ; Zhang, Bin ; Inouye, Michael ; Makinen, Ville-Petteri ; Yang, Xia. / Mergeomics : multidimensional data integration to identify pathogenic perturbations to biological systems. In: BMC Genomics. 2016 ; Vol. 17.
@article{f157c9b071a24b8e8b9a9c03b6295d86,
title = "Mergeomics: multidimensional data integration to identify pathogenic perturbations to biological systems",
keywords = "Mergeomics, Integrative genomics, Multidimensional data integration, Functional genomics, Gene networks, Key drivers, Cholesterol, Blood glucose, GENOME-WIDE ASSOCIATION, GENE-EXPRESSION PROFILES, SET ENRICHMENT ANALYSIS, R PACKAGE, DISEASE, MICE, LOCI, TRAITS, DISCOVERY, NETWORKS, 3111 Biomedicine",
author = "Le Shu and Yuqi Zhao and Zeyneb Kurt and Byars, {Sean Geoffrey} and Taru Tukiainen and Johannes Kettunen and Orozco, {Luz D.} and Matteo Pellegrini and Lusis, {Aldons J.} and Samuli Ripatti and Bin Zhang and Michael Inouye and Ville-Petteri Makinen and Xia Yang",
year = "2016",
month = "11",
day = "4",
doi = "10.1186/s12864-016-3198-9",
language = "English",
volume = "17",
journal = "BMC Genomics",
issn = "1471-2164",
publisher = "BMC",

}

Shu, L, Zhao, Y, Kurt, Z, Byars, SG, Tukiainen, T, Kettunen, J, Orozco, LD, Pellegrini, M, Lusis, AJ, Ripatti, S, Zhang, B, Inouye, M, Makinen, V-P & Yang, X 2016, 'Mergeomics: multidimensional data integration to identify pathogenic perturbations to biological systems', BMC Genomics, vol. 17, 874. https://doi.org/10.1186/s12864-016-3198-9

Mergeomics : multidimensional data integration to identify pathogenic perturbations to biological systems. / Shu, Le; Zhao, Yuqi; Kurt, Zeyneb; Byars, Sean Geoffrey; Tukiainen, Taru ; Kettunen, Johannes; Orozco, Luz D.; Pellegrini, Matteo; Lusis, Aldons J.; Ripatti, Samuli; Zhang, Bin; Inouye, Michael; Makinen, Ville-Petteri; Yang, Xia.

In: BMC Genomics, Vol. 17, 874, 04.11.2016.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Mergeomics

T2 - multidimensional data integration to identify pathogenic perturbations to biological systems

AU - Shu, Le

AU - Zhao, Yuqi

AU - Kurt, Zeyneb

AU - Byars, Sean Geoffrey

AU - Tukiainen, Taru

AU - Kettunen, Johannes

AU - Orozco, Luz D.

AU - Pellegrini, Matteo

AU - Lusis, Aldons J.

AU - Ripatti, Samuli

AU - Zhang, Bin

AU - Inouye, Michael

AU - Makinen, Ville-Petteri

AU - Yang, Xia

PY - 2016/11/4

Y1 - 2016/11/4

KW - Mergeomics

KW - Integrative genomics

KW - Multidimensional data integration

KW - Functional genomics

KW - Gene networks

KW - Key drivers

KW - Cholesterol

KW - Blood glucose

KW - GENOME-WIDE ASSOCIATION

KW - GENE-EXPRESSION PROFILES

KW - SET ENRICHMENT ANALYSIS

KW - R PACKAGE

KW - DISEASE

KW - MICE

KW - LOCI

KW - TRAITS

KW - DISCOVERY

KW - NETWORKS

KW - 3111 Biomedicine

U2 - 10.1186/s12864-016-3198-9

DO - 10.1186/s12864-016-3198-9

M3 - Article

VL - 17

JO - BMC Genomics

JF - BMC Genomics

SN - 1471-2164

M1 - 874

ER -