5ac72ff7faebbfea5a4eb9a16815111d36304462 markd Fri Dec 12 02:01:42 2025 -0800 improved formating of recount3 track description diff --git src/hg/makeDb/trackDb/recount3.html src/hg/makeDb/trackDb/recount3.html index 22489068208..a979bf4a533 100644 --- src/hg/makeDb/trackDb/recount3.html +++ src/hg/makeDb/trackDb/recount3.html @@ -1,95 +1,103 @@

Description

Recount3 is a comprehensive resource for re-analyzing RNA-seq data. It provides uniformly processed RNA-seq data and associated metadata from a wide range of studies, enabling researchers to access and analyze gene expression data in a consistent manner. Recount3 aggregates data from multiple sources, including the Sequence Read Archive (SRA) and the Genotype-Tissue Expression (GTEx) project, and reprocesses it using a standardized pipeline. This allows for cross-study comparisons and meta-analyses, facilitating discoveries in genomics and transcriptomics.

These tracks display the recount3 intron data, including split read counts and splice junction motifs.

Display Conventions

Intron items are colored based on splice junction motifs and read support (darker colors indicate higher coverage). Split read counts and splice motifs are shown on mouseover. By default, only introns with a minimum read count of 10,000 are shown. This setting can be changed on the track configuration page.

The intron items are color-coded:

Introns can be filtered by:

Data Access

The raw data can be explored interactively with the Table Browser or the Data Integrator. For automated analysis, the data may be queried from our REST API.
Please refer to our mailing list archives for questions, or our Data Access FAQ for more information.

-The original junction files can be found at
- -https://snaptron.cs.jhu.edu/data/gtexv2/junctions.bgz
- -https://snaptron.cs.jhu.edu/data/tcgav2/junctions.bgz
- -https://snaptron.cs.jhu.edu/data/srav3h/junctions.bgz
- -https://snaptron.cs.jhu.edu/data/ccle/junctions.bgz
- -https://snaptron.cs.jhu.edu/data/srav1m/junctions.bgz (mouse)
+The original junction files for human can be found at: +

+ +

+The mouse junction file is at: +

+

Methods

Junction files were converted to bed format. For grayscaling total read count was log10 transformed and multiplied by 10 to get a score between 0 and 225, which can be found in the bed score field.

References

Wilks C, Zheng SC, Chen FY, Charles R, Solomon B, Ling JP, Imada EL, Zhang D, Joseph L, Leek JT et al. recount3: summaries and queries for large-scale RNA-seq expression and splicing. Genome Biol. 2021 Nov 29;22(1):323. PMID: 34844637; PMC: PMC8628444