相关实验视频

Updated: Jul 9, 2025

Practical Aspects of Sample Preparation and Setup of 1H R1ρ Relaxation Dispersion Experiments of RNA
08:17

Practical Aspects of Sample Preparation and Setup of 1H R1ρ Relaxation Dispersion Experiments of RNA

Published on: July 9, 2021

4.7K

对RNA的可差分区分函数计算

Marco C Matthies1, Ryan Krueger2, Andrew E Torda1

  • 1Centre for Bioinformatics, University of Hamburg, Bundesstr. 43, 20146 Hamburg, Germany.

Nucleic acids research
|December 1, 2023
PubMed
概括

研究人员开发了一种可微分RNA分区函数计算. 这项创新允许直接梯度优化逆折叠,使序列能够折叠成所需的结构.

更多相关视频

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq210:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

37.5K
2D-HELS MS Seq: A General LC-MS-Based Method for Direct and de novo Sequencing of RNA Mixtures with Different Nucleotide Modifications05:41

2D-HELS MS Seq: A General LC-MS-Based Method for Direct and de novo Sequencing of RNA Mixtures with Different Nucleotide Modifications

Published on: July 10, 2020

2.0K

相关概念视频

RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.0K