Sequence alignment algorithms form the foundation of comparative genomics, structural biology and evolutionary studies by identifying regions of similarity among nucleotide or protein sequences.
A new quantum algorithm developed by University of Georgia statisticians addresses one of the most complex challenges in single-cell analysis, signaling significant impact in both the fields of ...
Optimization algorithms form the backbone of modern biological data analysis, addressing challenges posed by high-dimensional, noisy and often non-linear datasets. From selecting informative ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results