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Zaid Al-Ars

Showing results (1-10 of 25) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
An efficient and high performance linear recursive variable expansion implementation of the Smith-Waterman algorithmLaiq Hasan, Zaid Al-Ars
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
GPU-accelerated protein sequence alignmentLaiq Hasan, Marijn Kentie, Zaid Al-Ars
Plos One|December 6, 2019
SparkGA2: Production-quality memory-efficient Apache Spark based genome analysis frameworkHamid Mushtaq, Nauman Ahmed, Zaid Al-Ars
BMC Research Notes|July 30, 2011
DOPA: GPU-based protein alignment using database and memory access optimizationsLaiq Hasan, Marijn Kentie, Zaid Al-Ars
Genes|January 18, 2020
SparkRA: Enabling Big Data Scalability for the GATK RNA-seq Pipeline with Apache SparkZaid Al-Ars, Saiyi Wang, Hamid Mushtaq
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
High performance and resource efficient biological sequence alignmentLaiq Hasan, Zaid Al-Ars, Mottaqiallah Taouil
Evolutionary Bioinformatics Online|March 24, 2018
Efficient Acceleration of the Pair-HMMs Forward Algorithm for GATK HaplotypeCaller on Graphics Processing UnitsShanshan Ren, Koen Bertels, Zaid Al-Ars
Plos One|April 12, 2021
QuASeR: Quantum Accelerated de novo DNA sequence reconstructionAritra Sarkar, Zaid Al-Ars, Koen Bertels
Gigascience|September 8, 2021
VC@Scale: Scalable and high-performance variant calling on cluster environmentsTanveer Ahmad, Zaid Al Ars, H Peter Hofstee
BMC Genomics|April 11, 2019
GPU accelerated sequence alignment with traceback for GATK HaplotypeCallerShanshan Ren, Nauman Ahmed, Koen Bertels, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
An efficient and high performance linear recursive variable expansion implementation of the Smith-Waterman algorithmLaiq Hasan, Zaid Al-Ars
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
GPU-accelerated protein sequence alignmentLaiq Hasan, Marijn Kentie, Zaid Al-Ars
Plos One|December 6, 2019
SparkGA2: Production-quality memory-efficient Apache Spark based genome analysis frameworkHamid Mushtaq, Nauman Ahmed, Zaid Al-Ars
BMC Research Notes|July 30, 2011
DOPA: GPU-based protein alignment using database and memory access optimizationsLaiq Hasan, Marijn Kentie, Zaid Al-Ars
Genes|January 18, 2020
SparkRA: Enabling Big Data Scalability for the GATK RNA-seq Pipeline with Apache SparkZaid Al-Ars, Saiyi Wang, Hamid Mushtaq
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
High performance and resource efficient biological sequence alignmentLaiq Hasan, Zaid Al-Ars, Mottaqiallah Taouil
Evolutionary Bioinformatics Online|March 24, 2018
Efficient Acceleration of the Pair-HMMs Forward Algorithm for GATK HaplotypeCaller on Graphics Processing UnitsShanshan Ren, Koen Bertels, Zaid Al-Ars
Plos One|April 12, 2021
QuASeR: Quantum Accelerated de novo DNA sequence reconstructionAritra Sarkar, Zaid Al-Ars, Koen Bertels
Gigascience|September 8, 2021
VC@Scale: Scalable and high-performance variant calling on cluster environmentsTanveer Ahmad, Zaid Al Ars, H Peter Hofstee
BMC Genomics|April 11, 2019
GPU accelerated sequence alignment with traceback for GATK HaplotypeCallerShanshan Ren, Nauman Ahmed, Koen Bertels, et al.
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