He then trained a machine-learning algorithm to spot OEIS sequences using Benford’s Law and Taylor’s Law and to distinguish them from random sequences. The results are impressive.

References [1] Multiple sequence alignment based on deep reinforcement learning with self-attention and positional encoding. Bioinformatics (2023). [2] Using the T-Coffee package to build multiple ...

Learn how to represent sequencing in algorithms with Bitesize KS3 Computer Science. BBC Homepage. ... An algorithm close algorithm A sequence of logical instructions for carrying out a task.

They tested their algorithm, called "CloseRead," on 74 publicly available genome sequences and were able to identify errors in these curated assemblies with more accuracy than other existing ...

Through their recent work, Miller and fellow UK co-authors Mark Ebbert, Ph.D., and Matthew Hodgman created an online version of that algorithm and showed that ramp sequences change between tissues ...

Baidu Inc.’s preclinical studies showed the mRNA vaccine sequences for COVID-19 designed using its Lineardesign algorithm outperformed the benchmark sequences designed by traditional algorithms in ...

Multiple sequence alignment (MSA) is a cornerstone of computational biology, facilitating the exploration of functional, structural and evolutionary relationships among biological sequences.

They tested their algorithm, called "CloseRead," on 74 publicly available genome sequences and were able to identify errors in these curated assemblies with more accuracy than other existing ...