PopulationGenomicsCourse:BiRC的人口基因组学课程

上传者: 42105816 | 上传时间: 2022-11-13 21:01:45 | 文件大小: 19.3MB | 文件类型: ZIP
2020年人口基因组学 描述 课程结束后,学员将对进行典型人群基因组研究所需的方法和应用有详细的了解。 参加者必须在课程结束时能够: 确定与种群基因组分析相关的实验平台。 应用常用的种群基因组方法。 解释常见种群基因组方法背后的理论。 反思种群基因组方法的优势和局限性。 解释和分析总体基因组推论的结果。 根据数据制定人口遗传学假设 该课程介绍了人口基因组学中的关键概念,从生成种群遗传数据集到最常见的种群遗传分析和关联研究。 本课程的第一部分着重于群体遗传数据集的生成。 第二部分介绍了最常见的群体遗传分析及其理论背景。 这里的主题包括人口统计分析,人口结构,重组和选择。 本课程的最后一部分着重于人口遗传数据集在与人类健康相关的关联研究中的应用。

文件下载

资源详情

[{"title":"( 62 个子文件 19.3MB ) PopulationGenomicsCourse:BiRC的人口基因组学课程","children":[{"title":"PopulationGenomicsCourse-master","children":[{"title":".gitignore <span style='color:#111;'> 2.36KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.21KB </span>","children":null,"spread":false},{"title":"binder","children":[{"title":"environment.yml <span style='color:#111;'> 305B </span>","children":null,"spread":false}],"spread":true},{"title":"Projects","children":[{"title":"README.md <span style='color:#111;'> 9.52KB </span>","children":null,"spread":false}],"spread":true},{"title":"Exercises","children":[{"title":"02_mapping_and_calling","children":[{"title":"README.md <span style='color:#111;'> 12.02KB </span>","children":null,"spread":false},{"title":"img","children":[{"title":"IGV_example 2.png <span style='color:#111;'> 431.61KB </span>","children":null,"spread":false},{"title":"unnamed-chunk-1-1.png <span style='color:#111;'> 64.57KB </span>","children":null,"spread":false},{"title":"IGV_example.png <span style='color:#111;'> 431.61KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"04_phasing_and_recombination","children":[{"title":"beagle.08Jun17.d8b.jar <span style='color:#111;'> 322.91KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 8.62KB </span>","children":null,"spread":false},{"title":"ldhat.r <span style='color:#111;'> 76.53KB </span>","children":null,"spread":false},{"title":"inPHAP_v.1.1.jar <span style='color:#111;'> 14.54MB </span>","children":null,"spread":false}],"spread":true},{"title":"03_f_statistics","children":[{"title":"README.md <span style='color:#111;'> 5.16KB </span>","children":null,"spread":false},{"title":"week3.ipynb <span style='color:#111;'> 415.69KB </span>","children":null,"spread":false}],"spread":true},{"title":"09_GWAS_QC","children":[{"title":"README.md <span style='color:#111;'> 6.87KB </span>","children":null,"spread":false},{"title":"step_by_step_tutorial.md <span style='color:#111;'> 9.38KB </span>","children":null,"spread":false}],"spread":true},{"title":"01_cluster_practicals","children":[{"title":"README.md <span style='color:#111;'> 21.73KB </span>","children":null,"spread":false},{"title":"img","children":[{"title":"thisisunsafe.png <span style='color:#111;'> 382.83KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"05_population_structure","children":[{"title":"README.md <span style='color:#111;'> 9.70KB </span>","children":null,"spread":false},{"title":"PCA_admixture_analysis.Rmd <span style='color:#111;'> 9.72KB </span>","children":null,"spread":false},{"title":"img","children":[{"title":"unnamed-chunk-11-1 2.png <span style='color:#111;'> 27.65KB </span>","children":null,"spread":false},{"title":"unnamed-chunk-4-1.png <span style='color:#111;'> 25.67KB </span>","children":null,"spread":false},{"title":"unnamed-chunk-12-1.png <span style='color:#111;'> 19.85KB </span>","children":null,"spread":false},{"title":"unnamed-chunk-11-1.png <span style='color:#111;'> 27.65KB </span>","children":null,"spread":false},{"title":"unnamed-chunk-3-1.png <span style='color:#111;'> 25.85KB </span>","children":null,"spread":false},{"title":"unnamed-chunk-5-1.png <span style='color:#111;'> 27.98KB </span>","children":null,"spread":false}],"spread":false},{"title":"Allvariants_135_145_chr2_pruned.gds.fam <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false},{"title":"Allvariants_135_145_chr2_pruned.gds.bim <span style='color:#111;'> 14.19KB </span>","children":null,"spread":false},{"title":"week5.RData <span style='color:#111;'> 128.63KB </span>","children":null,"spread":false},{"title":"Allvariants_135_145_chr2_pruned.gds.bed <span style='color:#111;'> 4.18KB </span>","children":null,"spread":false}],"spread":true},{"title":"10_GWAS_association","children":[{"title":"README.md <span style='color:#111;'> 4.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"11_heritability","children":[{"title":"README.md <span style='color:#111;'> 2.24KB </span>","children":null,"spread":false}],"spread":true},{"title":"08_archaic_humans","children":[{"title":"README.md <span style='color:#111;'> 5.09KB </span>","children":null,"spread":false},{"title":"img","children":[{"title":"unnamed-chunk-2-1.png <span style='color:#111;'> 57.19KB </span>","children":null,"spread":false},{"title":"unnamed-chunk-2-2.png <span style='color:#111;'> 20.37KB </span>","children":null,"spread":false},{"title":"figure5_cell.png <span style='color:#111;'> 88.54KB </span>","children":null,"spread":false},{"title":"figure5_cell 2.png <span style='color:#111;'> 88.54KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"06_historical_population_size","children":[{"title":"README.md <span style='color:#111;'> 7.88KB </span>","children":null,"spread":false},{"title":"fqcutout.py <span style='color:#111;'> 257B </span>","children":null,"spread":false}],"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"07_selective_sweeps","children":[{"title":"README.md <span style='color:#111;'> 6.35KB </span>","children":null,"spread":false},{"title":"img","children":[{"title":"unnamed-chunk-1-1 2.png <span style='color:#111;'> 70.27KB </span>","children":null,"spread":false},{"title":"unnamed-chunk-1-1.png <span style='color:#111;'> 70.27KB </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":false},{"title":"VirtualMachine","children":[{"title":"README.md <span style='color:#111;'> 558B </span>","children":null,"spread":false}],"spread":true},{"title":"Cluster","children":[{"title":"README.md <span style='color:#111;'> 1.56KB </span>","children":null,"spread":false},{"title":"metadata","children":[{"title":"sample_infos_accessionnb.csv <span style='color:#111;'> 2.45KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 907B </span>","children":null,"spread":false},{"title":"samples.txt <span style='color:#111;'> 319B </span>","children":null,"spread":false},{"title":"Simons_meta_ENArun.txt <span style='color:#111;'> 37.44KB </span>","children":null,"spread":false},{"title":"ena.ftp.pointers.txt <span style='color:#111;'> 65.25KB </span>","children":null,"spread":false},{"title":"Sample_meta_subset.tsv <span style='color:#111;'> 2.08KB </span>","children":null,"spread":false}],"spread":true},{"title":"scripts","children":[{"title":"workflow_bamfiles.py <span style='color:#111;'> 4.40KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"workflow_bamfiles.cpython-36.pyc <span style='color:#111;'> 2.06KB </span>","children":null,"spread":false}],"spread":true},{"title":"download_bamfiles.sh <span style='color:#111;'> 499B </span>","children":null,"spread":false}],"spread":true},{"title":"data","children":[{"title":"README.md <span style='color:#111;'> 23B </span>","children":null,"spread":false},{"title":"metadata","children":[{"title":"samples.txt <span style='color:#111;'> 319B </span>","children":null,"spread":false},{"title":"Simons_meta_ENArun.txt <span style='color:#111;'> 37.44KB </span>","children":null,"spread":false},{"title":"ena.ftp.pointers.txt <span style='color:#111;'> 65.25KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"Notebooks","children":[{"title":"README.md <span style='color:#111;'> 1.64KB </span>","children":null,"spread":false},{"title":"pool_nielsen.ipynb <span style='color:#111;'> 8.49MB </span>","children":null,"spread":false},{"title":"tests.ipynb <span style='color:#111;'> 28.12KB </span>","children":null,"spread":false},{"title":"drift_and_selection.ipynb <span style='color:#111;'> 23.26KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明