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Summary of data partitioning and label distribution for binary classification.

NIAID Data Ecosystem2026-05-02 收录

数据链接：

https://figshare.com/articles/dataset/Summary_of_data_partitioning_and_label_distribution_for_binary_classification_/28363018 数据链接链接失效反馈

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资源简介：

Summary of data partitioning and label distribution for binary classification.

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创建时间：

2025-02-06

测序数据质量控制

分子标签分析

The sequencing data of the article included two runs. The method for building library is based on MIP. The sequencing process is carried out by illumina Hiseq platform.

NIAID Data Ecosystem70

Supplementary data: Quantifying sequencing error and effective sequencing depth of liquid biopsy NGS with UMI error correction

NGS（下一代测序）

分子标签分析

Supplementary Figure 1. Ratio of forward-to-reverse reads is no useful quality criterion for UMI-libraries after error-correction bioinformatics. The density plots show the position ba

NIAID Data Ecosystem40

Variant allele detection in sequencing data containing unique molecular identifiers

分子标签分析

液体活检生物信息学

Targeted sequencing using Unique Molecular Identifiers (UMIs) enables detection and quantification of rare variant alleles in challenging applications, such as cell-free DNA analysis from liquid biops

NIAID Data Ecosystem30

Additional file 3: of Elimination of PCR duplicates in RNA-seq and small RNA-seq using unique molecular identifiers

RNA测序

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UMI method comparison. (XLSX 11 kb)

DataCite Commons2024-03-04 更新70

Counting and correcting errors within unique molecular identifiers to generate absolute numbers of sequencing molecules [RNA-seq]. Counting and correcting errors within unique molecular identifiers to generate absolute numbers of sequencing molecules [RNA-seq]

RNA-seq定量

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Unique Molecular Identifiers (UMIs) are random oligonucleotide barcodes sequences? that are critical for the removal of PCR amplification biases within both bulk and single-cell sequencing experiments

NIAID Data Ecosystem40

Summary of data partitioning and label distribution for binary classification.

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