Schema for Combined modENCODE RNA-Seq (Tissues) - Combined modENCODE RNA-Seq for Multiple Tissues
  Database: dm6    Primary Table: modENCODE_tissues_rnaseq_Combined_plus    Row Count: 1   Data last updated: 2022-10-21
fieldexampleSQL type info
fileName /gbdb/dm6/bbi/modENCODE_tis...varchar(255) values

This table points to a file in BigWig format.

Sample Rows
 
fileName
/gbdb/dm6/bbi/modENCODE_tissues_RNAseq_r6/modENCODE_tissues.plus.bw

Note: all start coordinates in our database are 0-based, not 1-based. See explanation here.

Combined modENCODE RNA-Seq (Tissues) (modENCODE_tissues_rnaseq_Combined) Track Description
 

Description

This track shows the cumulative strand-specific RNA-Seq coverage for different tissues of D. melanogaster. The RNA-Seq read coverage for each sample was normalized by a wigsum of 100,000,000 (1 million 100bp reads) using the bam2wig.py program in RSeQC, and then combined into a single track.

The RNA-Seq reads were obtained from the ENCODE data portal at UCSC on August 2019, and then mapped against the D. melanogaster dm6 genome assembly using HISAT2.

References

Brown JB, et al. Diversity and dynamics of the Drosophila transcriptome. Nature. 2014 Aug 28;512(7515):393-9.

Kim D, Langmead B, Salzberg SL. HISAT: a fast spliced aligner with low memory requirements. Nat Methods. 2015 Apr;12(4):357-60.

Wang L, Wang S, Li W. RSeQC: quality control of RNA-seq experiments. Bioinformatics. 2012 Aug 15;28(16):2184-5.