Designing and interpreting 'multi-omic' experiments that may change our understanding of biology

scientific article published on 01 December 2017

Designing and interpreting 'multi-omic' experiments that may change our understanding of biology is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1016/J.COISB.2017.08.009
P932PMC publication ID7477987
P698PubMed publication ID32923746

P2093author name stringRobert Haas
Markus Ralser
Aleksej Zelezniak
StJohn Townsend
Jacopo Iacovacci
Stephan Kamrad
P2860cites workThe metabolic background is a global player in Saccharomyces gene expression epistasisQ42051779
Absolute quantification of transcription factors during cellular differentiation using multiplexed targeted proteomicsQ42823216
Single-cell transcriptomics for microbial eukaryotesQ46805607
Global analysis of protein structural changes in complex proteomesQ48270002
Global network reorganization during dynamic adaptations of Bacillus subtilis metabolismQ51411191
Queueing phase transition: theory of translationQ51821336
Sulfate radicals enable a non-enzymatic Krebs cycle precursor.Q54908927
The structure and dynamics of multilayer networksQ56601122
Mass spectrometry-based proteomics: principles, perspectives, and challengesQ82202672
Central Dogma of Molecular BiologyQ22122430
Finishing the euchromatic sequence of the human genomeQ22122488
Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic networkQ24561581
Ionomics: studying the social network of mineral nutrientsQ24657885
Scale-free flow of life: on the biology, economics, and physics of the cellQ24658445
Deep learning for computational biologyQ26740441
Plant Ionomics: From Elemental Profiling to Environmental AdaptationQ26747087
Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream AnalysisQ26782685
Epigenomics and the structure of the living genomeQ26782740
Defining the metabolome: size, flux, and regulationQ26865192
Growth control of the eukaryote cell: a systems biology study in yeastQ27499776
Single cell transcriptomics: methods and applicationsQ27690585
Network biology: understanding the cell's functional organizationQ27861027
Dynamic phosphoproteomics reveals TORC1-dependent regulation of yeast nucleotide and amino acid biosynthesisQ27934628
Emerging concepts of epigenetic dysregulation in hematological malignanciesQ28074522
The large-scale organization of metabolic networksQ29547498
A community-driven global reconstruction of human metabolism.Q29614690
A global view of gene activity and alternative splicing by deep sequencing of the human transcriptomeQ29615877
Integration of metabolomics, lipidomics and clinical data using a machine learning methodQ30398446
A database of Caenorhabditis elegans behavioral phenotypesQ30574505
Methods for the integration of multi-omics data: mathematical aspectsQ31040819
The Perseus computational platform for comprehensive analysis of (prote)omics dataQ31110953
Integrative analysis of human omics data using biomolecular networksQ31120979
Simultaneous analysis of distinct Omics data sets with integration of biological knowledge: Multiple Factor Analysis approachQ33401075
Personalized Nutrition by Prediction of Glycemic Responses.Q33445995
Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysisQ33503982
How to visually interpret biological data using networksQ33509500
Nutrient control of eukaryote cell growth: a systems biology study in yeastQ33585808
Systems-level analysis of mechanisms regulating yeast metabolic fluxQ33629330
Combining inferred regulatory and reconstructed metabolic networks enhances phenotype prediction in yeastQ33752043
Uncovering transcriptional regulation of metabolism by using metabolic network topologyQ33863545
Nonenzymatic gluconeogenesis-like formation of fructose 1,6-bisphosphate in ice.Q33913600
Single-cell genome sequencing: current state of the scienceQ34045945
A novel and versatile computational tool to model translation.Q34082389
Phenomics: the next challengeQ34150453
Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methodsQ34257056
Deep learning in neural networks: an overviewQ34451415
High-resolution genome-wide scan of genes, gene-networks and cellular systems impacting the yeast ionomeQ34476697
Coming of age: ten years of next-generation sequencing technologiesQ34526801
Estimating binding properties of transcription factors from genome-wide binding profilesQ34883141
Chemical methods for the proteome-wide identification of posttranslationally modified proteinsQ35019528
Contribution of network connectivity in determining the relationship between gene expression and metabolite concentration changesQ35156770
The Mitochondrial Proteome and Human DiseaseQ35427460
Functional genomics and proteomics as a foundation for systems biologyQ35829000
Systematic Analysis of Transcriptional and Post-transcriptional Regulation of Metabolism in YeastQ36245407
Detection of gene communities in multi-networks reveals cancer driversQ36350132
Normalizing single-cell RNA sequencing data: challenges and opportunitiesQ36371785
Chemical Methods for Encoding and Decoding of Posttranslational ModificationsQ36654176
Sequencing the yeast genome: an international achievementQ36703344
Genome-wide approaches to studying chromatin modificationsQ37077306
Ionomics and the study of the plant ionome.Q37077679
Scan-o-matic: High-Resolution Microbial Phenomics at a Massive Scale.Q37242091
Predictive biophysical modeling and understanding of the dynamics of mRNA translation and its evolution.Q37401102
Mitochondrial protein functions elucidated by multi-omic mass spectrometry profiling.Q37401998
Mass spectrometry-based proteomics and network biologyQ37996108
Plant proteomics: current status and future prospectsQ38077394
Metabolomics for laboratory diagnosticsQ38314001
Metabolomics in pharmaceutical research and developmentQ38434187
Protein function prediction using guilty by association from interaction networks.Q38460064
Machine learning applications in genetics and genomicsQ38463061
Phenomics for photosynthesis, growth and reflectance in Arabidopsis thaliana reveals circadian and long-term fluctuations in heritability.Q38487610
Quantitative proteomics: challenges and opportunities in basic and applied researchQ38676266
Trans-Omics: How To Reconstruct Biochemical Networks Across Multiple 'Omic' LayersQ38710125
Proteome complexity and the forces that drive proteome imbalance.Q38954697
Inference and Prediction of Metabolic Network FluxesQ38961555
The Mouse Genomes Project: a repository of inbred laboratory mouse strain genomesQ38989970
Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network modelQ39866153
The potential of single-cell profiling in plantsQ39869473
Functional Metabolomics Describes the Yeast Biosynthetic RegulomeQ41367252
Genomewide landscape of gene-metabolome associations in Escherichia coliQ41967441
P304page(s)37-45
P577publication date2017-12-01
P1433published inCurrent Opinion in Systems BiologyQ53952949
P1476titleDesigning and interpreting 'multi-omic' experiments that may change our understanding of biology
P478volume6

Reverse relations

cites work (P2860)
Q55038642Cost-effective generation of precise label-free quantitative proteomes in high-throughput by microLC and data-independent acquisition.
Q54204592Escherichia coli as a host for metabolic engineering
Q101157747Extraction and Integration of Genetic Networks from Short-Profile Omic Data Sets
Q63383919Identification of bioactive metabolites using activity metabolomics
Q63351951Systems Biology and Multi-Omics Integration: Viewpoints from the Metabolomics Research Community.

Search more.