Bioinformatics Seminar
Time:
Venue: Na
1 May 2018
NaDesigning a single cell RNAseq benchmarking dataset to compare protocols and analysis methods
Luyi TianWEHI Molecular Medicine
Single cell RNA sequencing (scRNA-seq) technology has undergone rapid development in recent years and brings new challenges in data processing and analysis ; which has resulted in an explosion of methods development for scRNA-seq. However ; the lack of a controlled benchmarking dataset makes it difficult for researchers to evaluate the assumptions behind each method and objectively compare the different methods. To address these problems ; we designed a comprehensive benchmark dataset that comprised different levels biological variations and processed through different protocols. We used this dataset to compare different protocols ; exam popular assumptions made for scRNA-seq dataset and compare methods for multiple scRNA-seq tasks ranging from normalization to trajectory analysis. We found significant difference in results from different methods and suggested some assumptions for scRNA-seq may be biased. Our dataset and analysis are valuable resource for understanding the nature of scRNA-seq data and help future studies in evaluating their methods.;Actual location : Seminar Room 1;;;