linfeng-wang/TOAST
We present TOAST, a software tool designed to streamline and optimize amplicon primer design for Mycobacterium tuberculosis sequencing. TOAST integrates the robust primer design capabilities of Primer3—accounting for Tm, homopolymers, hairpins, and homodimers—with an in-house pipeline that rigorously filters for heterodimer formation and unintended alternative binding. What sets TOAST apart is its automation and intelligence: it leverages a curated database of over 50 M. tuberculosis genomes to inform amplicon placement, ensuring robust primer performance across strain diversity. Users can prioritize SNPs for coverage, focus on specific resistance genes, and tailor designs to spoligotype backgrounds. The tool outputs primer sequences along with detailed thermodynamic profiles and genomic coordinates, making it an end-to-end solution for targeted TB panel design.
Alternative Title
TOAST (Tuberculosis Optimized Amplicon Sequencing Tool)
Keywords
amplicon sequencing; Mycobacterium tuberculosis| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software Python script |
| Capture method | Other |
| Date | 15 September 2025 |
| Language(s) of written materials | English |
| Creator(s) | Wang, L |
| LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Department of Infection Biology |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 19 Nov 2025 14:07 |
| Last Modified | 19 Nov 2025 14:10 |
| Publisher | Github |
No files available. Please consult associated links.
- Github (Online Data Resource)
- Python Package (Data)