Abstract
MuscleAtlasExplorer is a freely available web application that allows for the exploration of gene expression data from human skeletal muscle. It draws from an extensive publicly available dataset of 1654 skeletal muscle expression microarray samples. Detailed, manually curated, patient phenotype data, with information such as age, sex, BMI and disease status, are combined with skeletal muscle gene expression to provide insights into gene function in skeletal muscle. It aims to facilitate easy exploration of the data using powerful data visualization functions, while allowing for sample selection, in-depth inspection and further analysis using external tools. Availability: MuscleAtlasExplorer is available at https://mae.crc.med.lu.se/mae2 (username 'muscle' and password 'explorer' pre-publication).
| Original language | English |
|---|---|
| Article number | baaa111 |
| Journal | Database: the journal of biological databases and curation |
| Volume | 2020 |
| DOIs | |
| Publication status | Published - 2020 Dec 18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Subject classification (UKÄ)
- Bioinformatics and Computational Biology
- Medical Genetics and Genomics (including Gene Therapy)
Free keywords
- database tool
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Dive into the research topics of 'MuscleAtlasExplorer: a web service for studying gene expression in human skeletal muscle'. Together they form a unique fingerprint.Research output
- 1 Doctoral Thesis (compilation)
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Data integration and visualization in type 2 diabetes research and care: From biological mechanisms to precision medicine.
Asplund, O., 2021, Lund: Lund University, Faculty of Medicine. 63 p.Research output: Thesis › Doctoral Thesis (compilation)
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