most citedTile optimization for area in FPGA based hardware acceleration of peptide identification

8 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CE2014

A Structured Hardware Software Architecture for Peptide Based Diagnosis - Sub-string Matching Problem with Limited Tolerance (ICIAfS14)

S. M. Vidanagamachchi, S. D. Dewasurendra, R. G. Ragel +1

The problem of inferring proteins from complex peptide samples in shotgun proteomic workflow sets extreme demands on computational resources. This is exacerbated by the fact that,…

cs.CE2014

A Structured Hardware Software Architecture for Peptide Based Diagnosis of Baylisascaris Procyonis Infection (ICIAfS14)

S. M. Vidanagamachchi, S. D. Dewasurendra, R. G. Ragel +1

The problem of inferring proteins from complex peptide cocktails (digestion products of biological samples) in shotgun proteomic workflow sets extreme demands on computational reso…

cs.CE2014★ 8 cited

Tile optimization for area in FPGA based hardware acceleration of peptide identification

S. M. Vidanagamachchi, S. D. Dewasurendra, R. G. Ragel +1

Advances in life sciences over the last few decades have lead to the generation of a huge amount of biological data. Computing research has become a vital part in driving biologica…

cs.CE2014★ 1 cited

Hardware accelerated protein inference framework

S. M. Vidanagamachchi, S. D. Dewasurendra, R. G. Ragel

Protein inference plays a vital role in the proteomics study. Two major approaches could be used to handle the problem of protein inference; top-down and bottom-up. This paper pres…

cs.CE2014★ 7 cited

Hardware software co-design of the Aho-Corasick algorithm: Scalable for protein identification?

S. M. Vidanagamachchi, S. D. Dewasurendra, R. G. Ragel

Pattern matching is commonly required in many application areas and bioinformatics is a major area of interest that requires both exact and approximate pattern matching. Much work…