Division of Evolution & Genomic Sciences, University of Manchester, Manchester, MUK.
Wellcome Centre for Cell-Matrix Research, Division of Cell-Matrix Biology and Regenerative Medicine, Faculty of Biology Medicine and Health, University of Manchester, Manchester, MUK.
Bioinformatics. 2019 Jul 1;35(13):2283-2290. doi: 10.1093/bioinformatics/bty947.
Skeletal diseases are prevalent in society, but improved molecular understanding is required to formulate new therapeutic strategies. Large and increasing quantities of available skeletal transcriptomics experiments give the potential for mechanistic insight of both fundamental skeletal biology and skeletal disease. However, no current repository provides access to processed, readily interpretable analysis of this data. To address this, we have developed SkeletalVis, an exploration portal for skeletal gene expression experiments.
The SkeletalVis data portal provides an exploration and comparison platform for analysed skeletal transcriptomics data. It currently hosts 287 analysed experiments with 739 perturbation responses with comprehensive downstream analysis. We demonstrate its utility in identifying both known and novel relationships between skeletal expression signatures. SkeletalVis provides users with a platform to explore the wealth of available expression data, develop consensus signatures and the ability to compare gene signatures from new experiments to the analysed data to facilitate meta-analysis.
The SkeletalVis data portal is freely accessible at http://phenome.manchester.ac.uk.
Supplementary data are available at Bioinformatics online.
骨骼疾病在社会中很普遍,但需要提高分子理解水平,才能制定新的治疗策略。大量现有的骨骼转录组学实验为深入了解基本骨骼生物学和骨骼疾病提供了潜在的机会。然而,目前没有任何存储库可以提供对这些数据的经过处理、易于解释的分析。为了解决这个问题,我们开发了 SkeletalVis,这是一个用于骨骼基因表达实验的探索门户。
SkeletalVis 数据门户为分析后的骨骼转录组学数据提供了一个探索和比较的平台。它目前托管了 287 个经过分析的实验,有 739 个扰动反应,具有全面的下游分析。我们展示了它在识别骨骼表达特征之间的已知和新关系方面的实用性。SkeletalVis 为用户提供了一个探索丰富的可用表达数据的平台,开发共识特征,并能够将新实验的基因特征与分析数据进行比较,以促进荟萃分析。
SkeletalVis 数据门户可在 http://phenome.manchester.ac.uk 上免费访问。
补充数据可在《生物信息学》在线获取。