Formal mathematics underpins a new approach that
standardizes the analysis of genome information
Researchers in Singapore have developed and tested
mathematical tools, or algorithms, that are more accurate and robust than those
currently used in analyzing high-throughput genetic sequencing data1. The
algorithms can determine the location and activity of specific nucleic acid
sequences in a broad range of high-throughput techniques that detect
gene–protein interactions. The research group, led by Shyam Prabhakar of the A*STAR
Genome Institute of Singapore, also showed they could use the algorithms to
generate meaningful results from degraded tissue and tissue constructed from
several different cell types.