Input data for 2017_ms_immunostim
收藏DataCite Commons2020-09-02 更新2024-07-27 收录
下载链接:
https://figshare.com/articles/dataset/Input_data_for_2017_ms_immunostim/4579072/1
下载链接
链接失效反馈官方服务:
资源简介:
Please note that this information accompanies the github code that explains the complete analysis, found at: https://github.com/bensutherland/2017_ms_immunostim<br><br>Input data files are to be put in the '02_raw_data' folder of the above git repo, and they include: 1) Physiology and lice count data: immunostim_data-jan21-15.csv<br>2) Lice qPCR input datanew-together_formatted-notdouble.txt<br><br>3) Salmon qPCR input datasalmon_qpcr-oct23-14-longform.csv<br><br>Interpretation files are to be put into the '00_archive' folder of the above git repo and they include:1) The interpretation file for the microarray analysis:Targets_2color_immunostim.csv<br><br>2) The control spots file for the microarray analysis:SpotTypes<br><br>3) The short form annotation file for the microarray analysis:koop_Lsal38K_2010-02-25b-short.txt<br><br>
请注意,本说明随附完整分析相关的GitHub代码,代码仓库地址为:https://github.com/bensutherland/2017_ms_immunostim<br><br>输入数据文件需置于上述Git仓库的'02_raw_data'文件夹中,包含以下内容:1) 生理学与虱计数数据:immunostim_data-jan21-15.csv<br><br>2) 虱定量聚合酶链反应(qPCR)输入数据:new-together_formatted-notdouble.txt<br><br>3) 鲑鱼定量聚合酶链反应(qPCR)输入数据:salmon_qpcr-oct23-14-longform.csv<br><br>分析解读文件需置于上述Git仓库的'00_archive'文件夹中,包含以下内容:1) 微阵列分析解读文件:Targets_2color_immunostim.csv<br><br>2) 微阵列分析对照斑点文件:SpotTypes<br><br>3) 微阵列分析简易注释文件:koop_Lsal38K_2010-02-25b-short.txt
提供机构:
figshare
创建时间:
2017-05-30



