COVID-19 RNA-Seq数据集
COVID-19 RNA-Seq转录组数据列表，包含单细胞和批量测序数据。
基本信息
资源简介
该数据集收录了COVID-19相关的RNA测序（RNA-Seq）转录组数据，包括单细胞和批量测序数据，旨在为COVID-19研究提供数据资源。
下载信息
注册下载
Tips: 该数据集需要在对应的数据源网站注册通过后，才能进行数据下载，注册有对应要求，或者需要收费。
暂未开放公开下载
Tips: 该数据集属于公开下载，应该可以免费公开下载。
免登录有偿下载
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暂未开放千方医数集，医疗数据集部分，是为社区服务的公开医疗数据集搜索引擎，并不存储或者下载原始的任何数据。 如果您有其他医疗数据需求，可以和客服联系，或者下工单。我们有强大的三甲医疗机构帮助您提供个性化的医疗数据定制、采集、标注服务。
使用方式
数据集获取
git clone https://github.com/COV-IRT/COVID-19-RNA-Seq-datasets.git
curl -L -o repo.zip https://github.com/COV-IRT/COVID-19-RNA-Seq-datasets/archive/refs/heads/master.zip
unzip repo.zip
源站 README 摘录（使用方式）
<!
Title: COVID-19 RNA-Seq Datasets
Description: A curated list of COVID-19 RNA-Seq/transcriptomic single-cell and bulk data.
Author: urmi-21
Introduction
This is a repository for sharing information on available COVID-19 RNA-Seq datasets. I will update this weekly to add any newly released COVID-19 related RNA-Seq datasets.
Please feel free to contribute to this repository (see contribution guide). If you have suggestions, please notify me by opeining a new issue.
NOTE: Please do NOT directly edit below this line. Please see contribution guide
<sep></sep>
COVID-19-RNA-Seq-datasets
| S.No. | Date | Title | Description | Download | #Samples | #COVID | Type |
|---|---|---|---|---|---|---|---|
| 1 | 2020-06-26 | COVID-19 severity correlates with airway epithelium-immune cell interactions identified by single-cell analysis | Single-cell RNA sequencing on nasopharyngeal and bronchial samples from 19 patients and five controls. | Stalled<br>EGAS00001004481 | None | None | single-cell |
| 2 | 2020-06-26 | Neuroinvasive potential of SARS-CoV-2 revealedin a human brain organoid model | Brain organoids were infected with SARS-CoV-2 and sequenced with 10x single cell sequencing strategies. | Data not public | None | None | single-cell |
| 3 | 2020-06-22 | In vivo antiviral host response to SARS-CoV-2 by viral load, sex, and age | Examined host gene expression across infection status, viral load, age, and sex among RNA-sequencing profiles of nasopharyngeal swabs from 430 individuals with SARS-CoV-2 and 54 negative controls. | GSE152075 | 484 | 430 | bulk |
| 4 | 2020-06-18 | Early temporal dynamics of cellular responses to SARS-CoV-2 | Performed a time series RNA-seq and selective immunoblot analysis of SARS-CoV-2 infected lung (Calu-3) cells to characterize early virus-host processes. | [Data is private GSE151513](https://www.ncbi |
数据加载示例（表格/文本类）
import pandas as pd, glob, os
files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))
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