smORFer
smORFer detects small open reading frames (smORFs) encoding proteins of 50 amino acids or fewer in prokaryotic genomes by integrating genome sequencing, ribosome profiling (Ribo-Seq), and translation initiation stalling sequencing (TIS-seq) to empirically annotate translated smORFs.
Key Features:
- smORF detection: Identifies smORFs encoding proteins of 50 amino acids or fewer in prokaryotic genomes.
- Data integration: Integrates genome sequencing, ribosome profiling (Ribo-Seq), and translation initiation stalling sequencing (TIS-seq).
- RPF-based mapping: Uses ribosome-protected fragments (RPFs) from Ribo-Seq to precisely locate actively translated ORFs on mRNA.
- Initiation site identification: Leverages TIS-seq, which blocks ribosomes at the start codon, to sequence protected fragments and identify translation initiation sites.
- Sequence and translation pattern analysis: Considers structural features of genetic sequences and in-frame translation patterns to evaluate candidate smORFs.
- Fourier transform scoring: Applies a Fourier transform to convert sequence and translation parameters into a measurable score for selecting putative smORFs.
- Prokaryotic genome challenges addressed: Accounts for polycistronic messages, overlapping ORFs, leaderless translation, and non-canonical initiation sites.
Scientific Applications:
- Coding sequence annotation: Empirical annotation of coding sequences, specifically smORFs, in prokaryotic genomes.
- Translation initiation mapping: Precise identification of translation initiation sites using TIS-seq and Ribo-Seq data.
- Discovery of non-canonical translation: Detection of leaderless translation and non-canonical initiation events in prokaryotes.
- Functional small protein studies: Enabling discovery and study of small proteins implicated in physiological processes.
Methodology:
Integrates genome sequencing, Ribo-Seq (RPF mapping), and TIS-seq (ribosome stalling at start codons); analyzes structural sequence features and in-frame translation patterns; and employs a Fourier transform to convert parameters into a score for selecting putative smORFs.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- R, Shell, Perl
- Added:
- 10/14/2021
- Last Updated:
- 10/15/2021
Operations
Publications
Bartholomäus A, Kolte B, Mustafayeva A, Goebel I, Fuchs S, Benndorf D, Engelmann S, Ignatova Z. smORFer: a modular algorithm to detect small ORFs in prokaryotes. Nucleic Acids Research. 2021;49(15):e89-e89. doi:10.1093/nar/gkab477. PMID:34125903. PMCID:PMC8421149.