相关实验视频

Updated: Jun 7, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

960

深度学习可以在DNBSEQQ中使用超高密度数组

Junfeng Li1,2, Zhiwei Zhai3,4, Hao Zhang5

  • 1BGI Research, Shenzhen, 518083, China.

Scientific reports
|November 13, 2024
PubMed
概括

一个新的深度学习模型,DNBSRN,通过提高超高密度数组的图像分辨率来增强DNA纳米球测序 (DNBSEQ). 这提高了序列吞吐量,降低了成本,克服了以前的局限性.

关键词:
在 DNBSEQQ 中.深度学习是一种深度学习.超级分辨率的超级分辨率是什么超高密度阵列 超高密度阵列

更多相关视频

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

3.9K
Ultra-long Read Sequencing for Whole Genomic DNA Analysis10:34

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

22.7K

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...
9.8K