《Handbook of Single-Cell Technologies》这本斯普林格出版的英文专业书籍就像一个单细胞技术的大观园,带我们观瞻光学、化学、工程等在观察和操纵细胞的武器库。 《Handbook of Single-Cell Technologies》这本书聚焦于单细胞技术,而又开阔了单细胞技术人员的视野,也就应了那句话:专业的也必然是博学的。
文章信息 文章题目:The bone marrow microenvironment at single-cell resolution 发表期刊:nature 发表时间:2019年4月10日 原文链接 Fig. 3: Single-cell transcriptome profiling of the bone marrow niche in response to chemotherapy Notch
《Single-cell best practices》是咱们生信书房推荐的第66本书。 关于单细胞数据分析最佳实践(Single-cell best practices),一直伴随着单细胞数据的发展,概念、工具、方法、流程。 Best practices for single-cell analysis across modalities.
data-3 fetch_shard_store 0 0 0 data-3 flush 0 0 0 data-3 force_merge 0 0 0 data-3 generic 0 0 0 data-3 get 0 0 0 data-3 index 0 0 0 data-3 listener 0 0 0 data-3 management 1 0 0 data-3 ml_autodetect 0 0 0 data-3 ml_datafeed 0 0 0 data-3 ml_utility 0 0 0 data-3 refresh 0 0 0 data-3 rollup_indexing 0 0 0 data-3 search 0 0 0 data-3 search_throttled
. (2024) A Bayesian framework to study tumor subclone-specific expression by combining bulk DNA and single-cell
SCENIC: single-cell regulatory network inference and clustering[J].
markers): print(f"{marker}: {data}") # 输出: marker: data-0, marker: data-1, marker: data-2, marker: data
简单理解,pseudobulks就是一群vs一群,而single-cell方法就是一个vs一个 既然两种逻辑有差异,那么对后面的生物学功能解释影响大吗? 发现也是pseudobulks方法得到的差异基因更贴合真正的生物学通路(图e),比如f这个通路基因在single-cell检验方法中就没有得到 图2:single-cell的方法对高表达基因存在bias 目的是看为什么pseudobulks方法要优于single-cell 图a可以看到,single-cell方法拿到的每个细胞表达量都不高,并且很离散(存在很多0表达量),而pseudobulks进行了一步整合 (图b) 那么作者又问了:为什么表达量高,却成了single-cell方法的制约因素呢? 又使用了不同物种、不同细胞类型、不同技术、不同处理的46个scRNA数据集合,发现确实single-cell的bias是广泛存在(f) 图3:single-cell数据的差异分析必须考虑生物重复 目的是看看
Identifying cell populations with scRNASeq | https://www.ncbi.nlm.nih.gov/pubmed/28712804 2018年2月的 Single-cell Clustering methods for single-cell RNA sequencing data ? 还有 Table 2. Trajectory inference methods for single-cell RNA sequencing data Table 3. Cell-type annotation methods for single-cell RNA sequencing data Table 4. Integrating datasets methods for single-cell RNA sequencing data 挺容易看懂的,今年入坑单细胞的,可以优先看看这个!
1 前言一系列数据(Data-5, Data-4, Data-1, Data-3, Data-2)按一定顺序排列。异常:数据到达顺序与它们实际发生时间顺序不一致。
2.ShinyCell SGDDNB/ShinyCell: Shiny Interactive Web Apps for Single-Cell Data (github.com) ShinyCell是一个 image-20210420182447227 6.iS-CellR: a user-friendly tool for analyzing and visualizing single-cell RNA 相关案例--期刊数据类 A Single-Cell Transcriptome Atlas of the Mouse Glomerulus Glomerulus single-cell atlas (mdc-berlin.de ) A Single-Cell Transcriptome Atlas of the Mouse Glomerulus - PubMed (nih.gov) ? analysis of single-cell epigenomic landscapes with ChromSCape - PubMed (nih.gov) https://github.com/
当晚,我在我们单细胞天地的各个交流群通知了大家记得录屏,毕竟按照往年惯例每次放出的recording都是不全的 , 今天终于在B站看到了全部的超高清录屏,真爽: 01 Rahul Satija Single-cell RNA sequencing and perturbat 06 Jaison Jain Reference-based mapping for single-cell analysis 07 Sarah Pierce Spear-ATAC Pooled, droplet-based, single-cell chromatin accessib 08 Dana Peer Trajectories of plasticity in development and cancer 09 Saket Choudhary Count models for normalization of single-cell CUT&TAG 13 Efthymia Papalexi Analytical strategies for single-cell pooled CRISPR screens 视频连接是:https
RNA-Seq 17 Normalization of Single-Cell RNA-Seq 18 Dimensionality Reduction of Single-Cell RNA-Seq 19 Single-Cell RNA Sequencing Analysis: A Step-by-Step ? Analysis of single cell RNA-seq data》,内容目录如下: Table of Contents 1 About the course 2 Introduction to single-cell Feature Selection 6.4 Other Options For Analysis 7 Single Cell Resources 7.1 Comprehensive list of single-cell resources 7.2 Computational packages for single-cell analysis 7.3 eLife Commentary on the Human Cell
Meni Wanunu at the 6th single-cell proteomics conference, SCP2023: https://single-cell.net. 可以看到在YouTube上面的不仅仅是最新的2023会议全部录屏,而是有历年的每次研讨会的视频: 历年的每次研讨会的视频 比如 2019的: Welcome to the workshop of the single-cell proteomics conference | Nikolai Slavov | SCP2019 Design of single-cell proteomics experiments | Harrison Specht | SCP2019 Sample preparation for single-cell MS analysis | Edward Emmott | SCP2019 Optimizing
AbstractMotivationIntegrative analysis of large-scale single-cell data collected from diverse cell populations While several algorithms have been developed for single-cell RNA-sequencing data integration, many lack unsupervised sparse matrix setting to enable accurate integration of diverse and large collections of single-cell Using tens to hundreds of real single-cell RNA-seq datasets, we show that SCEMENT outperforms ComBat https://github.com/AluruLab/scementSCEMENT: scalable and memory efficient integration of large-scale single-cell
与其说是一本书,不如说是博士生论文,它的名字叫做Understanding the Cellular Ecology of Mtb Granulomas Using Single-Cell Sequencing 与这份毕业论文的缘分,要从一个习惯讲起:隔三岔五地会用Understanding和Single-Cell Sequencing作为关键词在学术期刊中查询一些文章,以期看看单细胞测序还有哪些新的方向和视角 文章详情可以下载文献阅读,奉上论文目录~ Chapter 1: Introduction Overview of Single-Cell mRNA Sequencing Methods for Single-cell inflammation Chapter 2: Seq-Well: A Portable, Low-cost Platform for Single-Cell RNA-Seq of Low-Input Samples Chapter 3: Highly Efficient, Massively-Parallel Single-Cell RNA-Seq Reveals Cellular States
started with AnnData AnnData 入门 原文:This tutorial helps you to explore the structure and content of single-cell Perturbation modeling 扰动建模 原文:This tutorial covers 3 approaches using single-cell perturbation data: Adaptive immune cell receptor 适应性免疫细胞受体 Single-cell T-cell receptor analysis with scirpy 使用 scirpy 进行单细胞 ATAC-seq 染色质可及性分析 Processing chromatin accessibility 染色质可及性数据处理 原文:This chapter shows multimodal single-cell Robust alignment of single-cell and spatial transcriptomes with CytoSPACE 使用CytoSPACE进行单细胞和空间转录组的稳健比对
SPDB: a comprehensive resource and knowledgebase for proteomic data at the single-cell resolution. Meni Wanunu at the 6th single-cell proteomics conference, SCP2023: https://single-cell.net. . … 可以看到在YouTube上面的不仅仅是最新的2023会议全部录屏,而是有历年的每次研讨会的视频: 比如 2019的: Welcome to the workshop of the single-cell proteomics conference | Nikolai Slavov | SCP2019 Design of single-cell proteomics experiments | Harrison Specht | SCP2019 Sample preparation for single-cell MS analysis | Edward Emmott | SCP2019 Optimizing
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图1 转座酶Tn5作用示意图 单细胞ATAC-seq测序则是在此基础上与单细胞技术联合起来,例如联合单细胞组合标记测序技术(single-cell combinatorial indexed sequencing 图7 内皮细胞在组织中的分布 2018年发表在《cell》上题为“Integrated Single-Cell Analysis Maps the ContinuousRegulatory Landscape Comprehensive Integration of Single-Cell Data. Sequencing thousands of single-cell genomes with combinatorial indexing[J]. A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility.