Table 2 Comparison of BPGA with other tools currently available for pan-genome analysis.
Features | BPGA | Roary27 | PanGP26 | PGAP28 | PGAT45 | Panseq25 | ITEP29 |
---|---|---|---|---|---|---|---|
Input file/s | .GBK/.FAA/Matrix | .gff | Cluster/ Matrix | .FAA, .FFN & .PTT | × | Contig file | × |
Exclusively absent genes | ✓ | × | × | × | × | × | × |
Subset Analysis | ✓ | × | × | × | × | × | × |
Atypical GC analysis | ✓ | × | × | × | × | × | × |
Distribution of core, accessory and unique genome | ✓ | × | × | × | × | × | × |
KEGG pathway distribution | ✓ | × | × | × | × | × | × |
Pan-genome profile analysis | ✓ | ✓ | ✓ | ✓ | × | × | × |
Size of core and pan-genome | ✓ | ✓ | × | × | × | ✓ | × |
Extraction of core, accessory and unique genome sequence | ✓ | ✓ | × | × | × | × | ✓ |
Evolutionary analysis | ✓ | ✓ | × | ✓ | × | ✓ | ✓ |
Functional distribution analysis (COG) | ✓ | × | × | ✓ | ✓ | × | ✓ |
Protein/gene clustering | ✓ | ✓ | × | ✓ | ✓ | ✓ | ✓ |
Input data from user | ✓ | ✓ | ✓ | ✓ | × | ✓ | × |
Operating System | Windows, Linux and any Perl supported OS. | Linux | Windows & Linux | Linux | NA | Windows & Linux | Linux |
Mode of program | Standalone | Standalone | Standalone | Standalone | Online Database | Online & Standalone | Standalone |
Test dataset | S. pyogenes | S. typhi | E. coli | S. pyogenes | NA | S. pyogenes | Enterobacteria |
No. of genomes in test dataset | 28 | 24 | 30 | 11 | NA | 11 | 24 |
Time cost | ~3 m | >6 m | 48 sec | 29–200 m | NA | ~10 m | >1 hr |
Performance | Very Fast | Fast | Fast | Slow | Slow | Slow | Slow |