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本文引用的文献

1
De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis.利用 Trinity 平台从 RNA-seq 进行从头转录序列重建,用于参考生成和分析。
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受……感染的转录组数据。 不过你提供的原文“Transcriptome data of infected by.”表述不完整,似乎有缺失部分。

Transcriptome data of infected by .

作者信息

Jazamuddin Fahmeeda Mohamad, Aizat Wan Mohd, Goh Hoe-Han, Low Chen-Fei, Baharum Syarul Nataqain

机构信息

Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, UKM, Bangi 43600, Selangor, Malaysia.

出版信息

Data Brief. 2017 Nov 13;16:466-469. doi: 10.1016/j.dib.2017.11.024. eCollection 2018 Feb.

DOI:10.1016/j.dib.2017.11.024
PMID:29255779
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5724979/
Abstract

Vibriosis disease by spp. greatly reduced productivity of aquaculture, such as brown-marbled grouper (), which is an economically important fish species in Malaysia. Preventive measures and immediate treatment are critical to reduce the mortality of from vibriosis. To investigate the molecular mechanisms associated with immune response and host-bacteria interaction, a transcriptomic analysis was performed to compare between healthy and -infected groupers. This permits the discovery of immune-related genes, specifically the resistance genes upon infection. Herein, we provide the raw transcriptome data from Illumina HiSeq. 4000 that have been deposited into NCBI SRA database with the BioProject accession number PRJNA396437. A total of 493,403,076 raw sequences of 74.5 Gb were obtained. Trimming of the raw data produced 437,186,232 clean reads of ~58 Gb. These datasets will be useful to elucidate the defence mechanisms of against infection for future development of effective prevention and treatment of vibriosis.

摘要

弧菌属引起的弧菌病极大地降低了水产养殖的生产力,比如棕点石斑鱼(Epinephelus fuscoguttatus),它是马来西亚一种具有重要经济价值的鱼类。预防措施和及时治疗对于降低石斑鱼因弧菌病导致的死亡率至关重要。为了研究与免疫反应和宿主-细菌相互作用相关的分子机制,进行了转录组分析以比较健康石斑鱼和感染弧菌的石斑鱼。这有助于发现免疫相关基因,特别是感染后的抗性基因。在此,我们提供了来自Illumina HiSeq. 4000的原始转录组数据,这些数据已存入NCBI SRA数据库,生物项目登录号为PRJNA396437。共获得了493,403,076条原始序列,总计74.5 Gb。对原始数据进行修剪后得到了约58 Gb的437,186,232条clean reads。这些数据集将有助于阐明石斑鱼抵御弧菌感染的防御机制,以用于未来有效预防和治疗弧菌病的开发。