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小鸡按压:鸡基因表达的资源。

Chickspress: a resource for chicken gene expression.

机构信息

School of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson AZ, USA.

Institute of Genomics, Biocomputing & Biotechnology, Mississippi State University, Starkville MS, USA.

出版信息

Database (Oxford). 2019 Jan 1;2019. doi: 10.1093/database/baz058.

Abstract

High-throughput sequencing and proteomics technologies are markedly increasing the amount of RNA and peptide data that are available to researchers, which are typically made publicly available via data repositories such as the NCBI Sequence Read Archive and proteome archives, respectively. These data sets contain valuable information about when and where gene products are expressed, but this information is not readily obtainable from archived data sets. Here we report Chickspress (http://geneatlas.arl.arizona.edu), the first publicly available gene expression resource for chicken tissues. Since there is no single source of chicken gene models, Chickspress incorporates both NCBI and Ensembl gene models and links these gene sets with experimental gene expression data and QTL information. By linking gene models from both NCBI and Ensembl gene prediction pipelines, researchers can, for the first time, easily compare gene models from each of these prediction workflows to available experimental data for these products. We use Chickspress data to show the differences between these gene annotation pipelines. Chickspress also provides rapid search, visualization and download capacity for chicken gene sets based upon tissue type, developmental stage and experiment type. This first Chickspress release contains 161 gene expression data sets, including expression of mRNAs, miRNAs, proteins and peptides. We provide several examples demonstrating how researchers may use this resource.

摘要

高通量测序和蛋白质组学技术显著增加了可供研究人员使用的 RNA 和肽数据量,这些数据通常分别通过 NCBI 序列读取档案和蛋白质组档案等数据存储库公开提供。这些数据集包含有关基因产物何时何地表达的有价值信息,但这些信息无法从存档数据集中轻易获得。在这里,我们报告了 Chickspress(http://geneatlas.arl.arizona.edu),这是第一个用于鸡组织的公开可用的基因表达资源。由于没有单一的鸡基因模型来源,因此 Chickspress 同时包含了 NCBI 和 Ensembl 基因模型,并将这些基因集与实验基因表达数据和 QTL 信息联系起来。通过将来自 NCBI 和 Ensembl 基因预测管道的基因模型联系起来,研究人员可以首次轻松地将这些预测工作流程中的基因模型与这些产物的可用实验数据进行比较。我们使用 Chickspress 数据来展示这些基因注释管道之间的差异。Chickspress 还提供了基于组织类型、发育阶段和实验类型的鸡基因集的快速搜索、可视化和下载功能。这个第一个 Chickspress 版本包含 161 个基因表达数据集,包括 mRNA、miRNA、蛋白质和肽的表达。我们提供了几个示例,展示了研究人员如何使用此资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b1c0/6556980/96303a7ed944/baz058f1.jpg

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