Table S5. Reads and percentage of mapped read per tissue

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RNA-Seq比对分析

组织基因表达定量

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Table S5. Reads and percentage of mapped read per tissue

创建时间：

2021-01-11

A Comprehensive Evaluation of Alignment Algorithms in the Context of RNA-Seq

RNA-Seq比对分析

算法评估

Transcriptome sequencing (RNA-Seq) overcomes limitations of previously used RNA quantification methods and provides one experimental framework for both high-throughput characterization and quantificat

Figshare2016-01-19 更新50

Basic characteristics of tags in four libraries and data of sequencing reads mapping to the reference genome.

RNA-Seq比对分析

剪接位点识别

Note: 1. “+” refers to sense strands, “−” refers to anti-sense strands.2. “Non-splice reads” refers to reads for the entire sequence is mapped to one exon; “Splice reads” also called junction reads, r

Figshare2015-12-02 更新40

Alignment results of three paired end tag (PET) RNA-seq libraries.

RNA-Seq比对分析

SNP单核苷酸多态性

*BWA-MEM algorithm.Comparison of alignment statistics and SNP concordance with dbSNP (v137) between JAGuaR, GSNAP, MapSplice2 and TopHat2. SNVs were identified with a minimum total coverage of 6 reads

Figshare2015-12-02 更新20

Overview of total mapping rates over all samples in % for the different RNA-Seq aligner.

RNA-Seq比对分析

转录组数据分析

Displayed are the mean mapping rates over the complete dataset with the variance in brackets.

NIAID Data Ecosystem40

A Comprehensive Evaluation of Alignment Algorithms in the Context of RNA-Seq

RNA-Seq比对分析

算法评估

NIAID Data Ecosystem30