登录 注册
登录 注册

CERN: 使用隐藏的Markov模型纠正 Raw Nanopore 信号错误
CERN: Correcting Errors in Raw Nanopore Signals Using Hidden Markov Models

🔗 访问原文
🔗 Access Paper

📝 摘要
Abstract

Nanopore sequencing can read substantially longer sequences of nucleic acid molecules than other sequencing methods, which has led to advances in genomic analysis such as the gapless human genome assembly. By analyzing the raw electrical signal reads that nanopore sequencing generates from molecules, existing works can map these reads without translating them into DNA characters (i.e., basecalling), allowing for quick and efficient analysis of sequencing data. However, raw signals often contain

📊 文章统计
Article Statistics

基础数据
Basic Stats

9 浏览
Views
0 下载
Downloads
0 引用
Citations

引用趋势
Citation Trend

阅读国家分布
Country Distribution

阅读机构分布
Institution Distribution

月度浏览趋势
Monthly Views

相关关键词
Related Keywords

影响因子分析
Impact Analysis

5.60 综合评分
Overall Score
引用影响力
Citation Impact
浏览热度
View Popularity
下载频次
Download Frequency

📄 相关文章
Related Articles

🌊