
Single-cell data analysis can be complex. In this data analysis workshop, we will use mouse amyotrophic lateral sclerosis (ALS) spinal cord datasets with SOD1G93A mutation to walk through the single-cell data analysis journey including raw data preprocessing, sample quality control, batch correction and integration, automatic cell annotation, multi-sample abundance and differential expression analyses, and cell-cell interaction analysis.
We will use 10x cloud analysis, a web-based application that runs Cell Ranger to process raw sequencing data. In addition to raw sequencing data processing, we will also use the 10x cloud for both integration and batch correction. In the subsequent downstream analyses, we will use multiple tools/software, developed by 10x and the community, and get familiarized with their algorithms. After these analysis steps, we can find cell-type specific gene signatures and cell states associated with ALS disease. This workshop is tailored to users beginning their journey in single-cell data analysis.
本ワークショップは英語で実施されます。
注意事項
参加人数
開催概要
プログラム
| Time | Session Title |
|---|---|
| 12:30 - 13:00 | Registration |
| 13:00 - 13:20 | Introduction |
| 13:20 - 13:45 | Raw data preprocessing on the 10x Cloud |
| 13:45 - 14:10 | Quality Assessment and Loupe Browser |
| 14:10 - 14:20 | Break |
| 14:20 - 14:35 | Single cell data downstream analysis introduction |
| 14:35 - 15:05 | Doublet Removal and QC |
| 15:05 - 15:15 | Data integration with batch correction |
| 15:15 - 15:40 | Cell Annotation |
| 15:40 - 15:50 | Break |
| 15:50 - 16:15 | Differential cell abundance analysis |
| 16:15 - 16:45 | Multi-sample differential expression analysis |
| 16:45 - 17:15 | Cell-cell interaction |
| 17:15 - 17:30 | Q&A |
参加要件
このコースは、10xシングルセル遺伝子発現解析をご利用の方を対象としています。Loupe Browserが動作するノートパソコンをご持参ください。ワークショップに参加する前に、以下の準備事項を必ず完了させておいてください。
Loupe Browserのダウンロードとインストールはこちら
Loupe Browser実行のための必要条件:
| Windows | MacOS |
| Windows 10 (64-bit) or later |
macOS 14 (Catalina) or later |
| 16GB RAM | |
| SSD storage highly recommended | |

Staff Scientist, Applied Bioinformatics
10x Genomics