We now need more than ever to make genome analysis more intelligent. We need to read,
analyze, and interpret our genomes not only quickly, but also accurately and efficiently …

The enormous growth in the amount of data generated by the life sciences is continuously
shifting the field from model-driven science towards data-driven science. The need for …

Read map** is a fundamental step in many genomics applications. It is used to identify
potential matches and differences between fragments (called reads) of a sequenced …

In-memory computing seeks to minimize data movement and alleviate the memory wall by
computing in-situ, in the same place that the data is located. One of the key emerging …

Genome analysis fundamentally starts with a process known as read map**, where
sequenced fragments of an organism's genome are compared against a reference genome …

A novel processing-in-storage (PRinS) architecture based on Resistive CAM (ReCAM) is
described and proposed for Smith-Waterman (SW) sequence alignment. The ReCAM PRinS …

Sequence alignment is a core component of many biological applications. As the
advancement in sequencing technologies produces a tremendous amount of data on an …

Abstract Background The Smith-Waterman (SW) algorithm is the best choice for searching
similar regions between two DNA or protein sequences. However, it may become …

Background The maximal sensitivity for local pairwise alignment makes the Smith-Waterman
algorithm a popular choice for protein sequence database search. However, its quadratic …