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因为有一些富裕的HPC时间 所以决定录一下 比较详细的cryoEM数据处理
如果你也踏入了cryoEM的大门 希望这个视频能帮助到你
这个视频主要说的是 cryoEM的操作
关于其他程序的操作方法 将会在接下来的视频中提到
希望这个系列可以帮助到你
cryosparc的基本运用: BV1yU421o7TZ
custom mask + local refinement: BV1aU421d7N7
relion的基本运用 + crYOLO: BV1DS421w7Rk
UP去探索生命奥秘了，勿念。
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p0 Lexicon of Biochemical Reactions： Introduction
03:25
p1 Lexicon of Biochemical Reactions： Cofactors Formed from Vitamin B12
24:19
p2 Lexicon of Biochemical Reactions： Vitamin B6 ⧸ PLP
29:00
p3 Lexicon of Biochemical Reactions： Redox Cofactors
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p5 5. Enzymes and Catalysis
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p6 Problem Set 2, Problem 1： Primary Structure
33:14
p7 Problem Set 3, Problem 2： Proteases： Mechanisms of Inhibition
28:17
p8 Carbonyl Chemistry
36:19
p9 Problem Set 4, Problem 2： The Mechanism of HMG-CoA Synthase
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p10 Problem Set 5, Problem 5： How Mannose, an Isomer of Glucose, Enters Glycolys
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p11 Introduction to Carbohydrate Catabolism
12:26
p12 Problem Set 6, Problem 2： Mechanism of Phosphoglycerate Mutase
13:10
p13 Glycolysis and Early Stages of Respiration
23:12
p14 Respiration： TCA Cycle
18:50
p15 Problem Set 7, Problem 1： Tracing Labels through Pathways
21:01
p16 Maintenance of Redox Neutrality
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p17 Respiration： Electron Transport and Oxidative Phosphorylation
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p18 Problem Set 8, Problem 2： Bioenergetics of the Electron Transport Chain
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p19 Respiration： Proton Pumps and ATP Synthesis
21:13
p20 Lipod Catabolism： Fatty Acid Beta-Oxidation
11:50
p21 Special Cases in Fatty Acid Metabolism
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p22 Problem Set 9, Problem 1： Catabolism of Triacylglycerols
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p23 Ketogenesis, Diabetes, and Starvation
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p24 The Science Behind Type II Diabetes
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p25 Blood Sugar Fluctuations and Gluconeogenesis
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p26 When Your Breath Smells Like Nail Polish Remover
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p27 Fatty Acids and Lipid Biosynthesis
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p28 Carbohydrate Biosynthesis I： Glycogen Synthesis
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p29 Carbohydrate Biosynthesis II： Gluconeogenesis
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p30 Problem Set 10, Problem 3： Gluconeogenesis
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p31 Pentose Phosphate Pathway
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p32 PLP (Pyridoxal Phosphate) Reactions
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Lecture 1 Microorganisms and microbiology
46:38
Lecture 2 An Overview of Microbial Life_1_v01
44:24
Lecture 3-1 Microbial Cell Biology_2_v01
42:53
Lecture 3-2 Microbial Cell Biology _1_v01
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Lecture 3-3 Microbial Cell Biology _2_v01
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Lecture 4-1 Nutrition, Culture and Metabolism_1_v01
28:40
Lecture 4-2 Nutrition, Culture and Metabolism_2_v01
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Lecture 5-1 Microbial Growth_1_v01
35:21
Lecture 5-2 Microbial Growth_2_v01
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Lecture 5-3 Microbial Growth and Test_1_v01
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Lecture 5-4 Microbial Growth and Test_2_v01
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Lecture 6-1 Microbial Growth Control_1_v01
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Lecture 6-2 Microbial Growth Control_1_v01
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Lecture 6-3 Microbial Growth Control_2_v01
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Lecture 7-1 Principles of Microbial Molecular Biology 1_1_v01
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Lecture 7-2 Principles of Microbial Molecular Biology 2_2_v01
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Lecture 7-3 Principles of Microbial Molecular Biology_1_v01
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Lecture 8-1 Regulation of gene expression_2_v01
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Lecture 8-2 Regulation of Gene Expression_1_v01
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Lecture 9-1 Essentials of Virology_2_v01
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Lecture 9-2 Essentials of Virology_1_v01
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Lecture 9-3 Essentials of Virology_2_v01
40:13
Lecture 10-1 Bacterial Genetics_1_v01
32:28
Lecture 10-2 Bacterial Genetics_1_v01
42:45
Lecture 10-3 Bacterial Genetics_2_v01
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Lecture 12-1 Genomes and Genomics_1_v01
31:49
Lecture 12-2 Gene Function and Regulation_2_v01
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Lecture 13-1 Metabolic diversity-Phototrophy_1_v01
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Lecture 13-2 Metabolic diversity-Chemolithotrophy_2_v01
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Lecture 13-3 Metabolic Diversity-Catabolism of Organic Compounds_1_v01
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Lecture 14-1 Methods in Microbial Ecology_2_v01
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Lecture 14-2 PCR Methods of Microbial Community Analysis_1_v01
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Lecture 15-1 Microbial Ecology-Major Microbial Habitats and Diversity_1_v01
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Lecture 15-2 Microbial Ecology-Soil and Freshwater Microbial Habitats_2_v01
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Lecture 15-3 Microbial Ecology-Microbial Symbioses_1_v01_1
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Lecture 16-1 Microbial Evolution and Systematics_2_v01
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Lecture 16-2 Microbial Evolution and Systematics_1_v01
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Lecture 17-1 Diversity of Bacteria-The Proteobacteria_1_v01
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2021哈佛大学生物信息学与计算生物学（全175集）—— 中英双字
30.2万播放
01.stat115 chapter 2.1 protein wave
15:31
02.stat115 chapter 2.2 expression wave
09:33
03.stat115 chapter 2.3 sequencing wave
13:05
04.stat115 chapter 2.4 big data challenge
13:47
05.stat115 chapter 2.5 bioinfo vs comp bio
12:42
06.stat115 chapter 2.6 is class right for me
08:25
07.stat115 chapter 2.7 course information
18:27
08.x shirley liu lab introduction
06:54
09.stat115 chapter 3.1 three generations of sequencing
13:43
10.stat115 chapter 3.2 fastq and fastqc
13:14
11.local sequence alignment & smith-waterman __ algorithm and example
07:57
12.global sequence alignment & needleman-wunsch __ algorithm and example
11:33
13.stat115 chapter 3.4 blast and suffix arrays
12:08
14.stat115 chapter 3.5.1 bwt and lf mapping
11:15
15.stat115 chapter 3.5.2 borrows-wheeler alignment
13:38
16.stat115 chapter 3.6 sam and bam files
09:16
17.stat115 lab 1.1 introduction
21:12
18. stat115 lab1.2 intro to r
32:07
19. stat115 lab1.3 intro to bash
21:03
20.stat115 lab1.4 intro to harvard cannon cluster
03:21
21.stat115 chapter 4.1 rna-seq applications
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22.stat115 chapter 4.2 rna-seq experimental design
11:08
23.stat115 chapter 4.3 rna-seq alignment
06:53
24.stat115 chapter 4.4 rna-seq qc
06:47
25. RPKM FPKM and TPM Clearly Explained_480p
10:15
26.stat115 chapter 4.6 rsem vs salmon
11:32
27.stat115 chapter 4.6 rna-seq read distribution
12:38
28. stat115 StatQuest DESeq2 part 1 Library Normalization
12:42
29.stat115 chapter 5.2 differential rna-seq
25:20
30.stat115 chapter 5.3 multiple hypotheses testing and false discovery rate
26:27
31.statquest_ edger and deseq2, part 2 - independent filtering
21:24
32.stat115 chapter 5.5 gene ontology
21:17
33.stat115 chapter 5.6 gene set enrichment analyses
20:54
34.2021 stat115 lab2.1 star tutorial
26:19
35.2021 stat115 lab2.2 rseqc tutorial
26:25
36.2021 stat115 lab2.3 rsem_salmon tutorial
21:23
37.stat115 chapter 6.1_2 hierarchical clustering
20:59
38.stat115 chapter 6.3 k-means clustering
12:36
39.stat115 chapter 6.4 considerations of kmeans clustering
15:31
40.stat115 chapter 6.5 batch effect removal
32:10
41.2021 stat115 lab 3.1 pca tutorial
08:22
42.2021 stat115 lab 3.2 clustering tutorial
07:40
43.2021 stat115 lab 3.3 combat tutorial
04:51
44.2021 stat115 lab 3.4 deseq2 tutorial
07:12
45.2021 stat115 lab 3.5 go, david & gsea tutorial
05:58
46.stat115 chapter 7.1 introduction to principal component analysis (pca)
39:42
47.stat115 chapter 7.2 principal component analysis (pca) applications
07:25
48.stat115 chapter 7.3 multidimensional scaling (mds)
12:38
49.stat115 chapter 7.4 linear discriminant analysis (lda)
16:44
50.stat115 chapter 8.1 a gentle introduction to machine learning
12:46
51.machine learning fundamentals_ cross validation
06:05
52.statquest_ logistic regression
08:48
53.regularization part 1_ ridge (l2) regression
20:27
54.statquest_ k-nearest neighbors, clearly explained
05:31
55.statquest_ decision trees
17:22
56.statquest_ random forests part 1 - building, using and evaluating
09:54
57.support vector machines part 1 (of 3)_ main ideas!!!
20:32
58.2021 stat115 lab 4.1 k-nearest neighbors tutorial
08:49
59.2021 stat115 lab4.2 regression tutorial
11:18
60.2021 stat115 lab4.3 logistic regression tutorial
04:05
61.2021 stat115 lab4.4 support vector machine tutorial
05:55
62.2021 stat115 lab4.5 random forest tutorial
07:16
63.stat115 chapter 9.1 module i review
27:20
64.stat115 chapter 9.2 module i review, analysis scenario 1
10:24
65.stat115 chapter 9.3 module i review, analysis scenario 2
11:38
66.stat115 chapter 10.1 transcription regulation
13:30
67.stat115 chapter 10.2 expectation maximization for motif finding
17:45
68.stat115 chapter 10.3 gibbs sampling for motif finding
12:07
69.stat115 chapter 10.4 motif finding general practices
23:40
70.stat115 chapter 10.5 motif conservation and modules
13:06
71.stat115 chapter 11.1 chip-seq
25:03
72.stat115 chapter 11.2 chip-seq peak calling with macs and qc
28:02
73.stat115 chapter 11.3 tf interactions from chip-seq
10:37
74.stat115 chapter 11.4 tf target genes from chip-seq
13:43
75.2021 stat115 lab5.1 macs tutorial
17:01
76.2021 stat115 lab5.2 chip-seq qc tutorial
05:34
77.2021 stat115 lab5.3 tf motif finding tutorial
11:34
78.2021 stat115 lab5.4 tf collaborator tutorial
16:41
79.stat115 chapter 12.1 intro to dna methylation
22:20
80.stat115 chapter 12.2 dna methylation pattern and function
16:47
81.stat115 chapter 12.3 dna methylation in diseases
11:07
82.stat115 chapter 12.4 techniques to measure dna methylation
18:23
83.stat115 chapter 13.1 nucleosome positioning
12:21
84.stat115 chapter 13.2 introduction to histone modifications
10:37
85.stat115 chapter 13.3 infer transcription factor binding from histone mark dyn
24:35
86.stat115 chapter 13.4 using histone marks to infer gene functions
14:21
87.stat115 chapter 13.5 introduction to dnase-seq and atac-seq
10:01
88.stat115 chapter 13.6 infer tf from differential genes using lisa
04:36
89.stat115 chapter 13.7 dnase-seq
12:37
90.stat115 chapter 13.8 summary of epigenetics and chromatin
05:07
91.2021 stat115 lab6.1 chip-seq expression integration
15:08
92.2021 stat115 lab6.2 cistrome-go tutorial
09:34
93.2021 stat115 lab6.3 atac-seq analysis and lisa tutorial
09:47
94.stat115 chapter 14.1 markov chain
10:17
95.stat115 chapter 14.2 hidden markov model
05:12
96.stat115 chapter 14.3 hidden markov model forward procedure
14:48
97.stat115 chapter 14.4 hidden markov model backward procedure
07:18
98.stat115 chapter 14.5 hmm forward-backward algorithm
05:43
99.stat115 chapter 14.6 viterbi algorithm
09:13
100.stat115 chapter 14.7 baum welch algorithm intuition
05:48
101.stat115 chapter 14.8 hmm bioinformatics applications
14:43
102.stat115 chapter 15.1 introduction to chromatin interaction and organization
07:57
103.stat115 chapter 15.2 methods to investigate 3d genome organization
11:48
104.stat115 chapter 15.3. topologically associating domains
08:20
105.stat115 chapter 15.4 tad function and loop anchors
09:11
106.stat115 chapter 15.5 chromatin compartments
09:19
107.stat115 chapter 15.6 computational methods to call chromatin loops
06:27
108.stat115 chapter 15.7 variations of chromatin interaction technologies
07:16
109.stat115 chapter 15.8 resources for exploring 3d genomes
07:18
110.2021 stat115 lab7.1 bs-seq and bismark tutorial
16:06
111.2021 stat115 lab7.2 tutorial on associating dna methylation with expression
10:22
112.2021 stat115 lab7.3 hic analysis tutorial
14:19
113.stat115 chapter 16.1 module ii review
23:49
114.stat115 chapter 16.2 module ii analysis scenarios
11:03
115.stat115 chapter 17.1 snp, lp, and association studies.
24:48
116.stat115 chapter 17.2 gwas studies and eqtl analysis
14:24
117.stat115 chapter 18.1 intro functional annotate gwas
15:34
118.stat115 chapter 18.2 gwas functional enrichment
29:17
119.stat115 chapter 18.3 find causal snps
23:56
120.stat115 chapter 18.4 predict disease risk
08:04
121.2021 stat115 lab 8.1 hw4 faq & cooler
24:52
122.2021 stat115 lab 8.2 pikachu&higlass
26:42
123.2021 stat115 lab 8.3 hmm
19:41
124.stat115 chapter 19.1 intro to scrna seq
11:11
125.stat115 chapter 19.2 scrna seq techniques
09:57
126.stat115 chapter 19.3 scrna seq preprocessing and qc
20:16
127.stat115 chapter 19.4 cleaning up expression matrix
18:23
128.stat115 chapter 20.1 scrna seq dimension reduction
13:10
129.stat115 chapter 20.2 clustering and projections
22:13
130.stat115 chapter 20.3 pseudo time and rna velocity
09:44
131.stat115 chapter 20.4 clustering by genotype and cite seq
16:26
132.stat115 chapter 21.1 single-cell atac-seq technique
12:24
133.stat115 chapter 21.2 single-cell atac-seq pre-processing and qc
18:57
134.stat115 chapter 21.3 single-cell atac-seq analysis
13:51
135.stat115 chapter 21.4 scatac-seq integration with scrna-seq
24:17
136.2021 stat115 lab9.1 maestro tutorial
29:55
137.stat115 chapter 23.1 introduction to cancer genome analysis
11:14
138.stat115 chapter 23.2 cancer. mutation characterization
25:33
139.stat115 chapter 23.3 cancer mutation patterns
09:03
140.stat115 chapter 23.4 tumor purity and clonality
05:24
141.stat115 chapter 23.5 interpret tumor mutations
08:10
142.stat115 chapter 23.6 find cancer genes
09:14
143.stat115 chapter 23.7 summary and future
09:24
144.stat115 chapter 24.1 tumor subtypes
37:31
145.stat115 chapter 24.2 survival analysis
19:51
146.stat115 chapter 24.3 oncogenes and tumor suppressor mutations
15:57
147.stat115 chapter 24.4 cancer epigenetics
06:15
148.stat115 chapter 25.1 introduction to targeted therapy
19:39
149.stat115 chapter 25.2 resistance to targeted therapy
23:35
150.stat115 chapter 25.3 model system chemical and genetic screens
17:41
151.stat115 chapter 25.4 overcoming resistance targeted therapy
14:49
152.stat115 chapter 26.1 intro to cancer immunotherapy
29:05
153.stat115 chapter 26.2 hla and neoantigen presentation
16:48
154.stat115 chapter 26.3 immune cell infiltration in tumors
11:19
155.stat115 chapter 26.4 t cell receptor repertoires in cancer immunology
15:22
156.2021 stat115 lab10.1 tcga exploration
07:39
157.2021 stat115 lab10.2 limma on microarray data
13:10
158.2021 stat115 lab10.3 survival analysis
20:41
159.stat115 chapter 27.1 b cell receptor repertoires in tumors
22:21
160.stat115 chapter 27.2 t cell activation and dysfunction
19:31
161.stat115 chapter 27.3 nk cells and macrophages in tumor immunity
12:03
162.stat115 chapter 27.4 cancer immunotherapy response biomarkers
17:01
163.stat115 chapter 27.5 improving immunotherapy response
04:33
164.2021 stat115 lab11.1 cancer mutations and driver genes
15:28
165.2021 stat115 lab11.2 cripsr screen
18:46
166.2021 stat115 lab11.3 cancer immunology
05:34
167.stat115 chapter 28.1 introduction to crispr and crispr screens
24:23
168.stat115 chapter 28.2 computational resources for crispr and screens
27:10
169.stat115 chapter 28.3 cancer cell vulnerability from crispr screens
13:28
170.stat115 chapter 28.4 immune related crispr screens
20:39
171.depmap tutorial
11:17
172.stat115 chapter 29.1 module iv review
15:32
173.stat115 chapter 29.2 final course review
09:42
174.stat115 chapter 29.3 final exam preparations
28:06
175.stat115 chapter 29.4 levels of bioinformatics and preparing for the future
18:22
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12.8万播放
1.1绪论基本概念
05:30
1.2免疫系统的组成与功能
14:15
1.3免疫学的起源与发展
19:24
1.4克隆选择学说
03:28
2.1抗原基本概念
08:46
2.2影响抗原刺激机体产生免疫应答的因素
13:36
2.3抗原的分类
14:02
2.4超抗原
03:30
2.5丝裂原
02:40
2.6佐剂
07:10
3.1中枢免疫器官
03:29
3.2外周免疫器官
16:17
4.1T淋巴细胞
17:36
4.2B淋巴细胞
05:04
4.3自然杀伤NK细胞
04:19
4.4抗原提呈细胞
10:47
4.5其他免疫细胞
06:12
5.1免疫球蛋白含抗体药物
03:49
5.2免疫球蛋白的结构
03:21
5.3免疫球蛋白的类型
02:36
5.4免疫球蛋白的功能
05:10
5.5各类免疫球蛋白的特性和功能
04:58
5.6抗体药物
13:34
6.1补体系统
11:53
6.2补体系统的激活
19:20
6.3补体激活的调节
09:01
6.4补体的生物学功能
02:47
6.5补体与临床疾病
05:10
7.1细胞因子
09:41
7.2细胞因子的种类
20:22
7.3细胞因子受体
06:12
7.4细胞因子与疾病
07:35
8.1白细胞分化抗原
13:08
8.2黏附分子
12:26
9.1主要组织相容性复合体及其编码分子
05:04
9.2HLA复合体及其产物
09:36
9.3HLA-I类抗原
07:50
9.4HLA-II类抗原
05:00
9.5HLA在医学上的意义
13:47
10.1免疫应答
04:38
10.2固有免疫应答
19:19
10.3适应性免疫应答
03:54
10.4B细胞介导的体液免疫应答
07:20
10.5细胞介导的免疫应答
09:20
11.1黏膜免疫
01:06
11.2黏膜免疫系统的组成
02:55
11.3粘膜免疫系统的功能
04:44
12.1免疫耐受
04:00
12.2免疫耐受的形成与维持
06:11
12.3免疫耐受与临床
05:17
13.1感染免疫的基本概念
01:21
13.2感染免疫的机制
06:59
13.3病原体的免疫逃逸机制
05:00
14.1超敏反应
05:34
14.2 I型超敏反应
12:39
14.3 II型超敏反应
06:21
14.4III型超敏反应
06:44
14.5IV型超敏反应
05:14
15.1自身免疫和自身免疫性疾病
06:19
15.2自身免疫的组织损伤机制
02:20
15.3自身免疫性疾病的诱因
10:26
15.4自身免疫性疾病治疗
06:06
16.1免疫缺陷疾病
02:15
16.2常见的免疫缺陷疾病
09:06
16.3获得性免疫缺陷疾病
05:44
17.1肿瘤抗原
03:25
17.2机体抗肿瘤免疫的效应机制
03:58
17.3肿瘤的免疫逃逸
04:25
17.4肿瘤的免疫治疗
05:24
18.1移植免疫
06:29
18.2同种植排斥反应的类型及其机制
02:44
18.3延长移植物存活的措施
02:28
19.1基于抗原抗体反应的检测
07:49
19.2免疫细胞相关技术
03:39
20.1免疫治疗
04:22
20.2免疫预防
06:19
21.1肿瘤及肿瘤治疗
05:28
21.2免疫疗法
04:27
21.3CAR-T细胞介绍
12:24
22.1免疫检查点分子与肿瘤免疫治疗
08:21
22.2免疫检查点分子与肿瘤免疫治疗-2
14:24
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