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. Author manuscript; available in PMC: 2023 Sep 1.
Published in final edited form as: Trends Immunol. 2022 Aug 11;43(9):741–756. doi: 10.1016/j.it.2022.07.005

Table 2.

Select sORF and SEP databases and resourcesa

Primary use Resource ORF/SEP supporting evidence Notable features URL Refs
Visualization GWIPS-Viz Ribo-Seq, Ti-Seq and RNA-Seq visualization from individual experiments and global aggregates Online genome browser for visualizing processed Ribo-Seq data https://gwips.ucc.ie/ [59]
Trips-Viz Ribo-Seq and MS data from individual experiments Online browser for visualizing processed Ribo-Seq data. Can plot single nucleotide read intensity and predict translated ORFs https://trips.ucc.ie/ [60]
Transcriptome-wide ORF predictions RPFdb v2.0 Ribo-Seq Comprehensive collection of Ribo-Seq studies with ORF predictions in a searchable browser http://sysbio.gzzoc.com/rpfdb/index.html [61]
sORFs.org Conservation
Ribo-Seq
MS
Incorporates multiple sORF scoring metrics and annotates sORFs with dozens of attributes http://www.sorfs.org/ [62]
Metamorf Conservation
Coding potential
Kozak context
Ribo-Seq
MS
Includes UCSC genome browser session for visualization and introduces an ORF nomenclature https://metamorf.hb.univ-amu.fr/ [63]
smProt Literature mining
Database mining
Ribo-Seq
MS
Includes variant and disease specific annotations and maintains a high-confidence set http://bigdata.ibp.ac.cn/SmProt/ [64]
OpenProt Ribo-Seq
MS
Generates ORFeome by 3-frame transcriptome translation, then checks for evidence of translation https://www.openprot.org/ [65]
nORFs.org sORFs.org
openProt.org
Aggregates information from other databases and presents a fast, user-friendly interface, including a built-in genome browser https://norfs.org/home [66]
ORFs in noncoding RNA LncPEP Coding potential
Conserved protein domains
Ti-Seq
Ribo-Seq
m6A RNA modification
Focuses on lncRNAs. Determines a coding score based on a normalized sum of six input variables http://www.shenglilabs.com/LncPep/ [67]
SPENCER MS SEPs from ncRNA in cancer including predictions of MHC I affinity, stability, and TCR recognition probability http://spencer.renlab.org/#/home [68]
Coding and noncoding RNA database Literature review Curated RNAs that have coding and noncoding functions with links to literature and supporting data http://www.rna-society.org/cncrnadb/ [69]
Ribo-Seq web application RiboToolkit Predictions from uploaded FASTQs Webserver that accepts Ribo-Seq FASTQs for analysis and implements a full prediction pipeline http://rnabioinfor.tch.harvard.edu/RiboToolkit/ [41]
a

These resources enable investigators to circumvent the technical and computational challenges of sORF prediction and move directly to the hypothesis-driven characterization phase. Indeed, given the thousands of predicted but unstudied sORFs, the greater benefit to the scientific community collectively might come from investigations of current predictions rather than new exploratory experiments.