Assembly: Human Dec. 2013 (GRCh38/hg38) Data last updated at UCSC: 2026-05-19 11:40:19
Description
This track displays 664,558 unique small open reading frames (sORFs) in the human
genome from MetamORF, a
meta-database that consolidates sORF data identified by both experimental and computational
approaches. sORFs are defined as ORFs encoding fewer than 100 amino acids (excluding stop
codons and introns).
MetamORF was built by gathering publicly available sORF data from multiple sources,
normalizing it, and removing redundancy. From 2,594,154 source ORFs across human and mouse,
MetamORF identified 1,162,675 unique ORFs (664,771 human, 497,904 mouse) associated with
153,553 unique transcripts. The database enables comparison of sORFs across distinct original
data sources at the ORF, transcript, and gene levels. For full documentation, see the
MetamORF documentation page.
Data Sources
The human sORFs in MetamORF were compiled from seven primary data sources and 46 individual
ribosome profiling datasets from
sORFs.org.
The primary sources are:
Source
Description
Reference
Erhard et al. 2018
Union of ORFs detected by PRICE, RP-BP, ORF-RATER, or annotated in Ensembl v75
ORFs were identified using three main approaches: bioinformatic predictions, ribosome profiling
experiments, and mass spectrometry (proteomics, peptidomics, and proteogenomics).
ORF Classification
MetamORF classifies ORFs by their position relative to annotated coding sequences:
Upstream – located in the 5' UTR, upstream of the main CDS
Downstream – located in the 3' UTR, downstream of the main CDS
Overlapping – overlapping with the annotated CDS
Intronic – located within an intron
InCDS / CDS / NewCDS – within or coinciding with a coding sequence
Alternative – in a different reading frame than the annotated CDS start
Opposite – on the opposite strand from the transcript
ORFs are also classified by the biotype of their host RNA: intergenic, ncRNA, pseudogene,
NMD (nonsense-mediated decay), or readthrough transcripts.
Display Conventions and Configuration
Items are displayed in bigGenePred format. Each item is labeled with its MetamORF ORF
ID. Color reflects the categorical Kozak consensus strength:
Strong – A/G at position −3 and G at position +4 Moderate – only one of those positions matches Weak – neither position matches non-ATG – near-cognate start codon; the Kozak rule does not apply no context – chromosome edge or context unavailable
Mouseover shows the ORF ID, ORF annotation, start codon, Kozak strength and TE,
host transcripts, and the cell types where the ORF was reported.
Available filters: start codon, Kozak strength, Kozak TE.
Data Access
The raw data can be explored interactively with the
Table Browser or the
Data Integrator. The data can be accessed from
scripts through our API; the track name is
"metamorf".
For automated download and analysis, the genome annotation is stored in a bigBed file that
can be downloaded from
our download server.
Individual regions or the whole genome annotation can be obtained using our tool
bigBedToBed, which can be compiled from the source code or downloaded as a precompiled
binary for your system. Instructions for downloading source code and binaries can be found
here.
The tool can also be used to obtain only features within a given range, e.g.
The original data and additional downloads are available from the
MetamORF website.
Source code is available on
GitHub.
Methods
The MetamORF BED 12 data was obtained from the MetamORF
track hub
and converted to bigBed format at UCSC. Coordinates are on the GRCh38/hg38 assembly
(based on Ensembl release 90).
Credits
Thanks to the MetamORF team at the TAGC (Theories and Approaches of Genomic Complexity)
laboratory, Aix-Marseille University, for creating this resource and making it publicly
available.