0
点赞
收藏
分享

微信扫一扫

哈佛大学刘小乐教授讲授的计算生物学和生物信息学导论 (2020 视频+资料)


生物信息学习的正确姿势

NGS系列文章包括NGS基础、高颜值在线绘图和分析、转录组分析 (Nature重磅综述|关于RNA-seq你想知道的全在这)、ChIP-seq分析 (ChIP-seq基本分析流程)、单细胞测序分析 (重磅综述:三万字长文读懂单细胞RNA测序分析的最佳实践教程)、DNA甲基化分析、重测序分析、GEO数据挖掘(典型医学设计实验GEO数据分析 (step-by-step))、批次效应处理等内容。

该课程由哈佛大学刘小乐教授教授,内容涵盖生物信息和高通量测序的很多方面,基本生信、转录组、表观组、突变组、三维结构和单细胞等领域,是不可多得的生信学习视频和文字教程,推荐给各位朋友。

课程网站:https://liulab-dfci.github.io/teaching (正在申请授权,欢迎志同道合的朋友一起加入给视频添加中文字幕)

课程目录

  • 2020 STAT115 Lect 1-1  Bioinfo History
  • 2020 STAT115 Lect 1-2  Big Data Challenge
  • 2020 STAT115 Lect 1-3  Bioinfo vs Comp Bio
  • 2020 STAT115 Lect 1-4  Course Info
  • 2020 STAT115 Lect 2-1  Three Generations of Sequencing
  • 2020 STAT115 Lect 2-2  FASTQ and FASTQC
  • 2020 STAT115 Lect 2-3  BLAST and Suffix Arrays
  • 2020 STAT115 Lect 2-4  BWT and LF Mapping
  • 2020 STAT115 Lect 2-5  Borrows-Wheeler Alignment
  • 2020 STAT115 Lect 2-6  SAM and BAM files
  • 2020 STAT115 Lect 3-1  RNA-seq Experimental Design
  • 2020 STAT115 Lect 3-2  RNA-seq Alignment and QC
  • 2020 STAT115 Lect 3-3  RNA-seq Quantification
  • 2020 STAT115 Lect 3-4  RNA-seq Read Distribution
  • 2020 STAT115 Lect 4-1  Differential RNA-seq
  • 2020 STAT115 Lect 4-2  Multiple Hypotheses Testing and False Discovery Rate
  • 2020 STAT115 Lect 4-3  Gene Ontology
  • 2020 STAT115 Lect 5-1  Gene Set Enrichment Analyses
  • 2020 STAT115 Lect 5-2  Consensus Clustering
  • 2020 STAT115 Lect 5-3  Hierarchical Clustering
  • 2020 STAT115 Lect 5-4  K-means Clustering
  • 2020 STAT115 Lect 6-1  KNN and MDS
  • 2020 STAT115 Lect 6-2  PCA
  • 2020 STAT115 Lect 6-3  Batch Effect Removal
  • 2020 STAT115 Lect 8-1  scRNA-seq
  • 2020 STAT115 Lect 8-2  Processing and QC scRNA-seq
  • 2020 STAT115 Lect 8-3  Differential Expression in scRNA-seq
  • 2020 STAT115 Lect 9-1  scRNA-seq Batch Effect Removal
  • 2020 STAT115 Lect 9-2  Gene Expression Module Summary
  • 2020 STAT115 Lect 9-3  Gene Expression Analysis Scenario
  • 2020 STAT115 Lect 10-2  Expectation Maximization for Motif Finding
  • 2020 STAT115 Lect 10-3  Gibbs Sampling for Motif Finding
  • 2020 STAT115 Lect 10-4  Motif Finding General Practices
  • 2020 STAT115 Lect 11-1  ChIP-seq
  • 2020 STAT115 Lect 11-1  Transcription Regulation
  • 2020 STAT115 Lect 11-2  MACS and QC for ChIP-seq
  • 2020 STAT115 Lect 11-3  TF Interactions from ChIP-seq
  • 2020 STAT115 Lect 11-4  TF Target Genes from ChIP-seq
  • 2020 STAT115 Lect 12-1  Epigenetics
  • 2020 STAT115 Lect 12-2  DNA Methylation
  • 2020 STAT115 Lect 12-3  DNA Methylation Function
  • 2020 STAT115 Lect 12-4  Nucleosome Positioning
  • 2020 STAT115 Lect 13-1  Histone Modifications
  • 2020 STAT115 Lect 13-2  Histone marks on enhancers
  • 2020 STAT115 Lect 13-3  Histone marks on genes
  • 2020 STAT115 Lect 13-4  DNase-seq
  • 2020 STAT115 Lect 13-5  ATAC-seq
  • 2020 STAT115 Lect 15-1  HiC Introduction
  • 2020 STAT115 Lect 15-2  Topologically Associating Domains
  • 2020 STAT115 Lect 15-3  Chromatin Compartments
  • 2020 STAT115 Lect 15-4  Regulatory Network
  • 2020 STAT115 Lect 16-1  Intro to Single-Cell ATAC-seq
  • 2020 STAT115 Lect 16-2  Preprocessing and QC scATAC-seq
  • 2020 STAT115 Lect 16-3  Analysis of scATAC-seq
  • 2020 STAT115 Lect 16-4  Integrating scATAC-seq with scRNA-seq
  • 2020 STAT115 Lect 17-1  Module II Review
  • 2020 STAT115 Lect 17-2  Module II Practice Scenarios
  • 2020 STAT115 Lect 17-3  SNP and GWAS Intro
  • 2020 STAT115 Lect 17-4  GWAS Artifacts and eQTL
  • 2020 STAT115 Lect 18-1  Intro Functional Annotate GWAS
  • 2020 STAT115 Lect 18-2  GWAS Functional Enrichment
  • 2020 STAT115 Lect 18-3  Find Causal SNPs
  • 2020 STAT115 Lect 18-4  Predict disease risk
  • 2020 STAT115 Lect 19-1  Introduction to Cancer Genome Analysis
  • 2020 STAT115 Lect 19-2  Cancer. Mutation Characterization
  • 2020 STAT115 Lect 19-3  Cancer Mutation Patterns
  • 2020 STAT115 Lect 19-4  Tumor Purity and Clonality
  • 2020 STAT115 Lect 19-5  Interpret Tumor Mutations
  • 2020 STAT115 Lect 19-6  Find Cancer Genes
  • 2020 STAT115 Lect 19-7  Summary and Future
  • 2020 STAT115 Lect 20-1  Tumor Subtypes
  • 2020 STAT115 Lect 20-2  Survival Analysis
  • 2020 STAT115 Lect 20-3  Oncogenes and Tumor Suppressor Mutations
  • 2020 STAT115 Lect 20-3  scRNA-seq Clustering and Visualization
  • 2020 STAT115 Lect 20-4  Cancer Epigenetics
  • 2020 STAT115 Lect 20-5  Cancer Hallmarks
  • 2020 STAT115 Lect 22-3  Tumor Immune Deconvolution
  • 2020 STAT115 Lect 22-4  Immune Receptor Repertoires
  • 2020 STAT115 Lect 23-1  Immune Signaling
  • 2020 STAT115 Lect 23-2  Immunotherapy Biomarkers
  • 2020 STAT115 Lect 23-3  CRISPR Screens
  • 2020 STAT115 HaploReg
  • 2020 STAT115 GWAS catalogue
  • 2020 STAT115 LD Link
  • 2020 STAT115 OpenCRAVAT Demo

视频地址:https://www.youtube.com/watch?v=UNAUcAojgh4&list=PLeB-Dlq-v6tY3QLdQBA7rwb4a7fK9mLpv&index=3 (点击阅读原文直达)。

正在申请授权,欢迎志同道合的朋友一起加入给视频添加中文字幕。

哈佛大学刘小乐教授讲授的计算生物学和生物信息学导论 (2020 视频+资料)_编程语言

举报

相关推荐

生物信息学知识点

0 条评论