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A single-cell RNA-sequencing training and analysis suite using the Galaxy framework
GigaScience ( IF 9.2 ) Pub Date : 2020-10-20 , DOI: 10.1093/gigascience/giaa102
Mehmet Tekman 1 , Bérénice Batut 1 , Alexander Ostrovsky 2 , Christophe Antoniewski 3, 4 , Dave Clements 2 , Fidel Ramirez 5 , Graham J Etherington 6 , Hans-Rudolf Hotz 7, 8 , Jelle Scholtalbers 9 , Jonathan R Manning 10 , Lea Bellenger 3 , Maria A Doyle 11, 12 , Mohammad Heydarian 2 , Ni Huang 10, 13 , Nicola Soranzo 6 , Pablo Moreno 10 , Stefan Mautner 1 , Irene Papatheodorou 10 , Anton Nekrutenko 14 , James Taylor 2 , Daniel Blankenberg 15 , Rolf Backofen 1 , Björn Grüning 1
Affiliation  

The vast ecosystem of single-cell RNA-sequencing tools has until recently been plagued by an excess of diverging analysis strategies, inconsistent file formats, and compatibility issues between different software suites. The uptake of 10x Genomics datasets has begun to calm this diversity, and the bioinformatics community leans once more towards the large computing requirements and the statistically driven methods needed to process and understand these ever-growing datasets.

中文翻译:

使用 Galaxy 框架的单细胞 RNA 测序训练和分析套件

直到最近,庞大的单细胞 RNA 测序工具生态系统一直受到过多的不同分析策略、不一致的文件格式以及不同软件套件之间的兼容性问题的困扰。10x Genomics 数据集的采用已经开始平息这种多样性,生物信息学社区再次倾向于处理和理解这些不断增长的数据集所需的大型计算需求和统计驱动方法。
更新日期:2020-10-20
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