Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

New insights in Rett syndrome using pathway analysis for transcriptomics data.

Wiener medizinische Wochenschrift (1946) - 1 Sept 2016

Ehrhart Friederike, Coort Susan L M, Cirillo Elisa, Smeets Eric, Evelo Chris T, Curfs Leopold

Abstract excerpt

The analysis of transcriptomics data is able to give an overview of cellular processes, but requires sophisticated bioinformatics tools and methods to identify the changes. Pathway analysis software, like PathVisio, captures the information about biological pathways from databases and brings this together with the experimental data to enable visualization and understanding of the underlying processes. Rett...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Child, Preschool
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Disease Models, Animal

Share to Gene Expression Profiling

Share to Infant

Share to Infant, Newborn

Share to Methyl-CpG-Binding Protein 2

Share to Rett Syndrome

Source

Open in PubMed Open full text

Identifiers

PMID: 27517371
DOI: 10.1007/s10354-016-0488-4
PMCID: PMC5005393

Genes

MECP2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

New insights in Rett syndrome using pathway analysis for transcriptomics data.PMID 27517371Read ↗

Integrated analysis of human transcriptome data for Rett syndrome finds a network of involved genesSemantic proximity Read ↗

RettDb: the Rett syndrome omics database to navigate the Rett syndrome genomic landscape.Semantic proximity Read ↗

Identification of molecular signatures and pathways involved in Rett syndrome using a multi-omics approachSemantic proximity Read ↗

Rett syndrome – biological pathways leading from MECP2 to disorder phenotypesSemantic proximity Read ↗

Integrated gene expression and alternative splicing analysis in human and mouse models of Rett SyndromeSemantic proximity Read ↗

A Comprehensive and Integrative Approach to MeCP2 Disease Transcriptomics.Semantic proximity Read ↗

ReactomeFIViz: a Cytoscape app for pathway and network-based data analysisSemantic proximity Read ↗

minepath.org: a free interactive pathway analysis web server.Semantic proximity Read ↗

Genetic and Protein Network Underlying the Convergence of Rett-Syndrome-like (RTT-L) Phenotype in Neurodevelopmental Disorders.Semantic proximity Read ↗

Expanding the <i>MECP2</i> network using comparative genomics reveals potential therapeutic targets for Rett syndromeSemantic proximity Read ↗

RNA sequencing and proteomics approaches reveal novel deficits in the cortex of Mecp2-deficient mice, a model for Rett syndrome.Semantic proximity Read ↗

Transcriptome analysis of human brain tissue identifies reduced expression of complement complex C1Q Genes in Rett syndrome.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.