S. M. Ashiqul Islam

SigProfilerAssignment refits known substitution, doublet, indel and copy-number mutational signatures to single samples and probabilistically to individual mutations, outperforming four refitting tools on 2,700 synthetic genomes.

SigProfilerExtractor is a tool for de novo mutational signature extraction that outperforms existing methods and identifies four novel signatures, including one linked to tobacco smoking.

The paper fuses bacteriophage-derived targeting peptides to antimicrobial peptides to selectively kill Staphylococcus bacteria, showing reduced toxicity against non-target species.

This study introduces a modified N-Gram and Skip-Gram model for protein classification from primary sequence data, showing improved accuracy over existing methods.