遇见数据集

RNA-Seq: assessment of transcript level analysis tools [array]

收藏
NIAID Data Ecosystem2026-03-11 收录
官方服务:

资源简介:

This study uses spiked-in transcript in order to compare various bioinformatics approaches and tools to assemble, quantify abundance and detect differentially expressed transcripts using RNA-Seq data. Mouse total RNA seq was extracted from embryonic stem cells (ES) before (designated as day 0) and four days after the addition of retinoic acid. 48 spikes were made in vitro from plasmid constructs and added to the total RNA in different concentrations (each mix has a set of different spike concentrations, see paper's method). We found that detection of differential expression at the gene level is acceptable, yet on the transcript-isofom level all tools tested were lacking accuracy and precision. This set of microarrays was performed for the purpose of selecting unexpressed loci, to which spikes can be added Microarray of mouse embryonic bodies in response to Retinoic acid. Microarrays were performed before Retinoic addition, and after 3 and 4 days.

创建时间:
2019-03-04
二维码
社区交流群
二维码
科研交流群
商业服务