相关实验视频

Updated: Jun 4, 2025

qPCRTag Analysis - A High Throughput, Real Time PCR Assay for Sc2.0 Genotyping
07:00

qPCRTag Analysis - A High Throughput, Real Time PCR Assay for Sc2.0 Genotyping

Published on: May 25, 2015

17.0K

qDATA - - 一个R应用程序,实现了用于分析定量实时PCR数据的实用框架

Adrian Ionascu1,2, Alexandru Al Ecovoiu1, Mariana Carmen Chifiriuc3,4,5

  • 1Drosophila Laboratory, Faculty of Biology, University of Bucharest, 060101 Bucharest, Romania.

BioTechniques
|December 24, 2024
PubMed
概括

我们开发了qDATA,这是一个基于R的生物信息学工具,用于分析定量实时PCR (qRT-PCR) 基因表达数据. 该应用程序简化了原始周期值 (Ct) 值的分析,提高了统计相关性和可靠性.

关键词:
生物信息学的软件在 R 编程中使用 R 编程.数据分析数据分析数据分析qRT-PCR 是一个很好的方法.统计 统计 统计 统计 统计

更多相关视频

Development of a Quantitative Recombinase Polymerase Amplification Assay with an Internal Positive Control08:37

Development of a Quantitative Recombinase Polymerase Amplification Assay with an Internal Positive Control

Published on: March 30, 2015

13.6K
Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR09:26

Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR

Published on: January 22, 2014

15.4K

相关概念视频

Real Time RT-PCR02:57

Real Time RT-PCR

Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...
56.8K
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
5.6K