Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 9NU, UK.
Nucleic Acids Res. 2022 Jul 5;50(W1):W367-W374. doi: 10.1093/nar/gkac364.
Gene Expression Omnibus (GEO) is a database repository hosting a substantial proportion of publicly available high throughput gene expression data. Gene expression analysis is a powerful tool to gain insight into the mechanisms and processes underlying the biological and phenotypic differences between sample groups. Despite the wide availability of gene expression datasets, their access, analysis, and integration are not trivial and require specific expertise and programming proficiency. We developed the GEOexplorer webserver to allow scientists to access, integrate and analyse gene expression datasets without requiring programming proficiency. Via its user-friendly graphic interface, users can easily apply GEOexplorer to perform interactive and reproducible gene expression analysis of microarray and RNA-seq datasets, while producing a wealth of interactive visualisations to facilitate data exploration and interpretation, and generating a range of publication ready figures. The webserver allows users to search and retrieve datasets from GEO as well as to upload user-generated data and combine and harmonise two datasets to perform joint analyses. GEOexplorer, available at https://geoexplorer.rosalind.kcl.ac.uk, provides a solution for performing interactive and reproducible analyses of microarray and RNA-seq gene expression data, empowering life scientists to perform exploratory data analysis and differential gene expression analysis on-the-fly without informatics proficiency.
基因表达综合数据库（GEO）是一个存储大量公共高通量基因表达数据的数据库存储库。基因表达分析是深入了解样本组之间生物学和表型差异背后的机制和过程的有力工具。尽管基因表达数据集广泛可用，但访问、分析和整合它们并不简单，需要特定的专业知识和编程能力。我们开发了 GEOexplorer 网络服务器，允许科学家访问、集成和分析基因表达数据集，而无需具备编程能力。通过其用户友好的图形界面，用户可以轻松地应用 GEOexplorer 来执行微阵列和 RNA-seq 数据集的交互式和可重复的基因表达分析，同时生成大量交互式可视化效果，以促进数据探索和解释，并生成一系列可用于出版的图形。该网络服务器允许用户从 GEO 中搜索和检索数据集，以及上传用户生成的数据，并结合和协调两个数据集以执行联合分析。GEOexplorer 可在 https://geoexplorer.rosalind.kcl.ac.uk 上获得，它为执行微阵列和 RNA-seq 基因表达数据的交互式和可重复分析提供了一个解决方案，使生命科学家能够在没有计算能力的情况下实时执行探索性数据分析和差异基因表达分析。
