Sequence alignment have been optimized using several techniques in order to accelerate the computation time to obtain the optimal score by implementing DP-based algorithm into hardware such as FPGA-based platform. During hardware implementation, there will be performance challenges such as the frequent memory access and highly data dependent in computation process. Therefore, investigation in processing element (PE) configuration where involves more on memory access in load or access the data (substitution matrix, query sequence character) and the PE configuration time will be the main focus in this paper. There are various approaches to enhance the PE configuration performance that have been done in previous works such as by using serial c...
Due to the utilization of abundant hardware resources, power consumption is becoming an important co...
Thesis (Ph.D.)--Boston UniversityWith advances in biotechnology and computing power, biological data...
With the sequencing of DNA becoming cheaper and the resulting stack of data growing bigger, there is...
IEEE Turkey Section;Int. Federation for Information Processing,IFIP;Sabanci University;The Scientifi...
This paper presents the design and implementation of the FPGA-based web server for biological sequen...
Bioinformatics is one of the emerging trends in today’s world. The major part of bioinformatics is d...
Biological sequence alignment is an essential tool used in molecular biology and biomedical applicat...
2009 International Conference on ReConFigurable Computing and FPGAs, ReConFig'09 --9 December 2009 t...
Summarization: Multiple Sequence Alignment (MSA) is a principal tool in computational molecular biol...
Biological sequence alignment is an essential tool used in molecular biology and biomedical applicat...
Background Smith-Waterman (S-W) algorithm is an optimal sequence alignment method for biological dat...
With the rapid development of DNA sequencer, the rate of data generation is rapidly outpacing the ra...
This paper presents the design and implementation of the most parameterisable FPGA-based skeleton fo...
Abstract — Comparing genetic sequences is a well-known prob-lem in bioinformatics. Newly determined ...
Hardware acceleration is needed to speed up DNA or protein alignment while keeping the accuracy of t...
Due to the utilization of abundant hardware resources, power consumption is becoming an important co...
Thesis (Ph.D.)--Boston UniversityWith advances in biotechnology and computing power, biological data...
With the sequencing of DNA becoming cheaper and the resulting stack of data growing bigger, there is...
IEEE Turkey Section;Int. Federation for Information Processing,IFIP;Sabanci University;The Scientifi...
This paper presents the design and implementation of the FPGA-based web server for biological sequen...
Bioinformatics is one of the emerging trends in today’s world. The major part of bioinformatics is d...
Biological sequence alignment is an essential tool used in molecular biology and biomedical applicat...
2009 International Conference on ReConFigurable Computing and FPGAs, ReConFig'09 --9 December 2009 t...
Summarization: Multiple Sequence Alignment (MSA) is a principal tool in computational molecular biol...
Biological sequence alignment is an essential tool used in molecular biology and biomedical applicat...
Background Smith-Waterman (S-W) algorithm is an optimal sequence alignment method for biological dat...
With the rapid development of DNA sequencer, the rate of data generation is rapidly outpacing the ra...
This paper presents the design and implementation of the most parameterisable FPGA-based skeleton fo...
Abstract — Comparing genetic sequences is a well-known prob-lem in bioinformatics. Newly determined ...
Hardware acceleration is needed to speed up DNA or protein alignment while keeping the accuracy of t...
Due to the utilization of abundant hardware resources, power consumption is becoming an important co...
Thesis (Ph.D.)--Boston UniversityWith advances in biotechnology and computing power, biological data...
With the sequencing of DNA becoming cheaper and the resulting stack of data growing bigger, there is...