RNASEQ_RAILRNA RNASEQ_RAILRNA_HeartOrganizedSample_CS17 Track Settings
 
RNASEQ_RAILRNA_HeartOrganizedSample_CS17 RNASEQ tracks from Heart Data

Track collection: RNASEQ processed using the RAILRNA pipeline in Cotney Heart hub

+  Description
+  All tracks in this collection (8)

Maximum display mode:       Reset to defaults   

Type of graph:
Track height: pixels (range: 11 to 128)
Data view scaling: Always include zero: 
Vertical viewing range: min:  max:   (range: 0 to 40)
Transform function:Transform data points by: 
Windowing function: Smoothing window:  pixels
Negate values:
Draw y indicator lines:at y = 0.0:    at y =
Graph configuration help
Select subtracks by views and sample type:

  Data Type: Primary
 All Views unstranded 
Sample Type
CS17 12291 
CS17 12331 
CS17 12752 
List subtracks: only selected/visible    all
  Sample Type↓1 Views↓2 Data Type↓3   Track Name↓4  
full
 Configure
 CS17 12291  unstranded  Primary  CS17_12291_RailRNA   Data format 
full
 Configure
 CS17 12331  unstranded  Primary  CS17_12331_RailRNA   Data format 
full
 Configure
 CS17 12752  unstranded  Primary  CS17_12752_RailRNA   Data format 
Assembly: Human Dec. 2013 (GRCh38/hg38)

Jennifer VanOudenhove at UCONN HEALTH built this track, and the Cotney Lab is responsible for its contents.

Methods Description

Human embryonic heart tissue was collected, staged and provided by the Joint MRC/Wellcome Trust Human Developmental Biology Resource. Each embryon is identified by stage_ID. Tissues were flash frozen upon collection and stored at -80C. RNA was extracted using miRNeasy RNA extraction kit with on-column DNAse treatment according to the manufacturer’s protocol (Qiagen). RNA integrity was checked using Agilent Tapestation 2200. RNA-seq libraries were prepared from 100-200ng total RNA using the TruSeq stranded mRNA kit (Illumina).

RNA-Seq Data Analysis

RNA-seq libraries were sequenced using the NextSeq (Illumina). Fastq files were demultiplexed by barcode yielding Fastq files for each tissue replicate. Trimming for adapters, quality and length was performed using Trimmomatic (v.0.36). Trimmed fastqs were aligned with Rail-RNA (Nellore et al., 2017), using human assembly GRCh38/hg38.

References

Nellore, A., Collado-Torres, L., Jaffe, A.E., Alquicira-Hernandez, J., Wilks, C., Pritt, J., Morton, J., Leek, J.T., and Langmead, B. (2017). Rail-RNA: scalable analysis of RNA-seq splicing and coverage. Bioinformatics 33, 4033–4040.

Contacts

Please email Jennifer VanOudenhove or Justin Cotney for questions.