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（Prophage SOS-dependency Predictor）
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- Host genomes must be ≤20MB and viral genomes ≤2MB.
- If you provided an email address, we'll notify you with a results link upon task completion.
Tips
Purpose: PSOSP is a novel bioinformatics tool to predict prophage induction modes by analyzing the heterology index (HI) of LexA protein binding to target DNA, classifying prophages into SOS-dependent (SdPs) and SOS-independent (SiPs).
Input requirements:
For host:
Host Taxon Suitability: PSOSP is primarily suitable for Gammaproteobacteria. If your host belongs to another taxon, PSOSP is unlikely to produce meaningful results.
Genome Quality: Higher host genome completeness is strongly recommended. We advise using host genomes with a completeness score above 90%.
Multi-Contig Genomes: If the host genome consists of multiple contigs, ensure the input host genome file contains all contigs (i.e., provide the genome assembly as a single multi-contig file).
For prophage:
Genome Quality: Higher viral genome quality leads to better results. PSOSP utilizes CheckV for quality assessment. Predictions for viruses with a CheckV-estimated completeness >90% are relatively reliable. If you are certain your viral genome is complete, you may disregard the CheckV results in the output file.
Multiple Inputs: The input viral genome file can contain sequences for multiple viruses (prophages).
Host Association: The input viruses must be prophages integrated within the specific input host genome. Predicting associations for mismatched virus-host pairs is meaningless.
Citation: Yali Hao#, Mujie Zhang#, Xinjuan Lei, Chengrui Zhu, Xiang Xiao, Huahua Jian*, SOS-independent prophages prevail in the bacterial genomes. xxx (2025)