SlideShare uma empresa Scribd logo
1 de 16
Baixar para ler offline
Accelerating Sequence Analysis on Graphics Processing Unit (GPU),[object Object],Wu Feng and Heshan Lin,[object Object],Department of Computer Science ,[object Object]
NGS Democratizing DNA Sequencing,[object Object],Sequencing available to the masses in the near future,[object Object],Source: www.genome.gov,[object Object]
Bottleneck Shift -> Computation,[object Object],ChIP-Seq …,[object Object],Transcriptome Sequencing,[object Object],Complete Genome Re-sequencing,[object Object],Metagenomics,[object Object],BIG Data,[object Object]
Traditional HPC Resources,[object Object],HPC Users,[object Object],?,[object Object],Clusters,[object Object],Supercomputers,[object Object],The Masses,[object Object]
Graphics Processing Unit (GPU)	,[object Object],Graphics & gaming -> general purpose computing,[object Object],Ubiquitously available: Desktop, laptop, iPad,[object Object]
“Personalized Supercomputer”,[object Object],[object Object]
512 cores
10^12 flops
On par with power of a supercomputer in 2004,[object Object]
Source: Borkar, De Intel,[object Object]
GPU: Optimized for Throughput,[object Object],Use much simpler cores,[object Object],Use vectorization to replicate simple cores,[object Object],Control,[object Object],(Fetch / Decode),[object Object],Control,[object Object],(Fetch / Decode),[object Object],ALU,[object Object],ALU,[object Object],ALU,[object Object],ALU,[object Object],ALU,[object Object],ALU,[object Object],ALU,[object Object],ALU,[object Object],ALU,[object Object],ALU,[object Object],ALU,[object Object],Execution Context,[object Object],(Registers),[object Object],Execution Context,[object Object],(Registers),[object Object],Execution Context,[object Object],(Registers),[object Object],Execution Context,[object Object],(Registers),[object Object],Execution Context,[object Object],(Registers),[object Object],Execution Context,[object Object],(Registers),[object Object],Execution Context,[object Object],(Registers),[object Object],Execution Context,[object Object],(Registers),[object Object],Execution Context,[object Object],(Registers),[object Object],Execution Context,[object Object],(Registers),[object Object],Execution Context,[object Object],(Registers),[object Object],Shared Execution Context,[object Object],Courtesy to K. Fatahalian,[object Object]
Take with a Grain of Salt,[object Object],Raw Compute Power != Application Performance,[object Object],Not all applications are suitable for GPUs,[object Object],Developing fully optimized codes on GPU is non-trivial and requires computational rethinking,[object Object],A GPU core is MUCH SLOWER than a CPU core,[object Object],Need a lot of parallelism to hide memory latency,[object Object],Reduce branching as much as possible,[object Object],Think about an army of synchronized snails ,[object Object]
GPU Potential for Sequence Alignment,[object Object],Why sequence alignment? ,[object Object],Fundamental in sequence analysis,[object Object],Computationally intensive,[object Object],Preliminary study,[object Object]
Lessons Learnt,[object Object],CPU optimized code may be difficult to accelerate on GPUs,[object Object],BLASTP 6.5x vs. Smith Waterman 30x,[object Object],Require rethinking of algorithm design,[object Object],Scalable but less optimal algorithm is better,[object Object],Example: RMAP,[object Object],Originally uses hash table to find the match (O(n)),[object Object],Switched to a slower binary search algorithm (O(nlogn)),[object Object]
Opportunities,[object Object],Smith Waterman,[object Object],Needleman-Wunsch,[object Object],BWA,[object Object],Time,[object Object],BLAST,[object Object],Bowtie,[object Object],Next-gen Algorithm?,[object Object],Accuracy,[object Object]
Compute the Cure Initiative,[object Object],Partnership between NVIDIA and VT,[object Object],Goal: Leverage GPU power to fight cancer,[object Object],Current focus: GPU accelerated sequence alignment framework,[object Object],http://www.nvidia.com/object/compute-the-cure.html,[object Object]

Mais conteúdo relacionado

Mais procurados

pgconfasia2016 plcuda en
pgconfasia2016 plcuda enpgconfasia2016 plcuda en
pgconfasia2016 plcuda enKohei KaiGai
 
GPGPU Accelerates PostgreSQL (English)
GPGPU Accelerates PostgreSQL (English)GPGPU Accelerates PostgreSQL (English)
GPGPU Accelerates PostgreSQL (English)Kohei KaiGai
 
Managing Large Datasets in LabVIEW
Managing Large Datasets in LabVIEWManaging Large Datasets in LabVIEW
Managing Large Datasets in LabVIEWJames McNally
 
GPGPU Accelerates PostgreSQL ~Unlock the power of multi-thousand cores~
GPGPU Accelerates PostgreSQL ~Unlock the power of multi-thousand cores~GPGPU Accelerates PostgreSQL ~Unlock the power of multi-thousand cores~
GPGPU Accelerates PostgreSQL ~Unlock the power of multi-thousand cores~Kohei KaiGai
 
Affordable AI Connects To A Better Life
Affordable AI Connects To A Better LifeAffordable AI Connects To A Better Life
Affordable AI Connects To A Better LifeNVIDIA Taiwan
 
20181212 - PGconfASIA - LT - English
20181212 - PGconfASIA - LT - English20181212 - PGconfASIA - LT - English
20181212 - PGconfASIA - LT - EnglishKohei KaiGai
 
[2A2]Vectorized_processing_in_a_Nutshell
[2A2]Vectorized_processing_in_a_Nutshell[2A2]Vectorized_processing_in_a_Nutshell
[2A2]Vectorized_processing_in_a_NutshellNAVER D2
 
GPU/SSD Accelerates PostgreSQL - challenge towards query processing throughpu...
GPU/SSD Accelerates PostgreSQL - challenge towards query processing throughpu...GPU/SSD Accelerates PostgreSQL - challenge towards query processing throughpu...
GPU/SSD Accelerates PostgreSQL - challenge towards query processing throughpu...Kohei KaiGai
 
20201006_PGconf_Online_Large_Data_Processing
20201006_PGconf_Online_Large_Data_Processing20201006_PGconf_Online_Large_Data_Processing
20201006_PGconf_Online_Large_Data_ProcessingKohei KaiGai
 
20160407_GTC2016_PgSQL_In_Place
20160407_GTC2016_PgSQL_In_Place20160407_GTC2016_PgSQL_In_Place
20160407_GTC2016_PgSQL_In_PlaceKohei KaiGai
 
PG-Strom - A FDW module utilizing GPU device
PG-Strom - A FDW module utilizing GPU devicePG-Strom - A FDW module utilizing GPU device
PG-Strom - A FDW module utilizing GPU deviceKohei KaiGai
 
GPU Accelerated Data Science with RAPIDS - ODSC West 2020
GPU Accelerated Data Science with RAPIDS - ODSC West 2020GPU Accelerated Data Science with RAPIDS - ODSC West 2020
GPU Accelerated Data Science with RAPIDS - ODSC West 2020John Zedlewski
 
Expectations for optical network from the viewpoint of system software research
Expectations for optical network from the viewpoint of system software researchExpectations for optical network from the viewpoint of system software research
Expectations for optical network from the viewpoint of system software researchRyousei Takano
 
S1170143 2
S1170143 2S1170143 2
S1170143 2s1170143
 
PG-Strom - GPGPU meets PostgreSQL, PGcon2015
PG-Strom - GPGPU meets PostgreSQL, PGcon2015PG-Strom - GPGPU meets PostgreSQL, PGcon2015
PG-Strom - GPGPU meets PostgreSQL, PGcon2015Kohei KaiGai
 
"The OpenVX Computer Vision and Neural Network Inference Library Standard for...
"The OpenVX Computer Vision and Neural Network Inference Library Standard for..."The OpenVX Computer Vision and Neural Network Inference Library Standard for...
"The OpenVX Computer Vision and Neural Network Inference Library Standard for...Edge AI and Vision Alliance
 
20181025_pgconfeu_lt_gstorefdw
20181025_pgconfeu_lt_gstorefdw20181025_pgconfeu_lt_gstorefdw
20181025_pgconfeu_lt_gstorefdwKohei KaiGai
 

Mais procurados (20)

pgconfasia2016 plcuda en
pgconfasia2016 plcuda enpgconfasia2016 plcuda en
pgconfasia2016 plcuda en
 
GPGPU Accelerates PostgreSQL (English)
GPGPU Accelerates PostgreSQL (English)GPGPU Accelerates PostgreSQL (English)
GPGPU Accelerates PostgreSQL (English)
 
Managing Large Datasets in LabVIEW
Managing Large Datasets in LabVIEWManaging Large Datasets in LabVIEW
Managing Large Datasets in LabVIEW
 
GPGPU Accelerates PostgreSQL ~Unlock the power of multi-thousand cores~
GPGPU Accelerates PostgreSQL ~Unlock the power of multi-thousand cores~GPGPU Accelerates PostgreSQL ~Unlock the power of multi-thousand cores~
GPGPU Accelerates PostgreSQL ~Unlock the power of multi-thousand cores~
 
Affordable AI Connects To A Better Life
Affordable AI Connects To A Better LifeAffordable AI Connects To A Better Life
Affordable AI Connects To A Better Life
 
20181212 - PGconfASIA - LT - English
20181212 - PGconfASIA - LT - English20181212 - PGconfASIA - LT - English
20181212 - PGconfASIA - LT - English
 
[2A2]Vectorized_processing_in_a_Nutshell
[2A2]Vectorized_processing_in_a_Nutshell[2A2]Vectorized_processing_in_a_Nutshell
[2A2]Vectorized_processing_in_a_Nutshell
 
GPU/SSD Accelerates PostgreSQL - challenge towards query processing throughpu...
GPU/SSD Accelerates PostgreSQL - challenge towards query processing throughpu...GPU/SSD Accelerates PostgreSQL - challenge towards query processing throughpu...
GPU/SSD Accelerates PostgreSQL - challenge towards query processing throughpu...
 
The Revolution of Deep Learning
The Revolution of Deep LearningThe Revolution of Deep Learning
The Revolution of Deep Learning
 
20201006_PGconf_Online_Large_Data_Processing
20201006_PGconf_Online_Large_Data_Processing20201006_PGconf_Online_Large_Data_Processing
20201006_PGconf_Online_Large_Data_Processing
 
20160407_GTC2016_PgSQL_In_Place
20160407_GTC2016_PgSQL_In_Place20160407_GTC2016_PgSQL_In_Place
20160407_GTC2016_PgSQL_In_Place
 
RAPIDS Overview
RAPIDS OverviewRAPIDS Overview
RAPIDS Overview
 
PG-Strom - A FDW module utilizing GPU device
PG-Strom - A FDW module utilizing GPU devicePG-Strom - A FDW module utilizing GPU device
PG-Strom - A FDW module utilizing GPU device
 
GPU Accelerated Data Science with RAPIDS - ODSC West 2020
GPU Accelerated Data Science with RAPIDS - ODSC West 2020GPU Accelerated Data Science with RAPIDS - ODSC West 2020
GPU Accelerated Data Science with RAPIDS - ODSC West 2020
 
Expectations for optical network from the viewpoint of system software research
Expectations for optical network from the viewpoint of system software researchExpectations for optical network from the viewpoint of system software research
Expectations for optical network from the viewpoint of system software research
 
PG-Strom
PG-StromPG-Strom
PG-Strom
 
S1170143 2
S1170143 2S1170143 2
S1170143 2
 
PG-Strom - GPGPU meets PostgreSQL, PGcon2015
PG-Strom - GPGPU meets PostgreSQL, PGcon2015PG-Strom - GPGPU meets PostgreSQL, PGcon2015
PG-Strom - GPGPU meets PostgreSQL, PGcon2015
 
"The OpenVX Computer Vision and Neural Network Inference Library Standard for...
"The OpenVX Computer Vision and Neural Network Inference Library Standard for..."The OpenVX Computer Vision and Neural Network Inference Library Standard for...
"The OpenVX Computer Vision and Neural Network Inference Library Standard for...
 
20181025_pgconfeu_lt_gstorefdw
20181025_pgconfeu_lt_gstorefdw20181025_pgconfeu_lt_gstorefdw
20181025_pgconfeu_lt_gstorefdw
 

Semelhante a Heshan Lin: Accelerating Short Read Mapping, Local Realignment, and a Discovery on a Graphics Processing Unit (GPU)

Exploring hybrid memory for gpu energy efficiency through software hardware c...
Exploring hybrid memory for gpu energy efficiency through software hardware c...Exploring hybrid memory for gpu energy efficiency through software hardware c...
Exploring hybrid memory for gpu energy efficiency through software hardware c...Cheng-Hsuan Li
 
A Survey on in-a-box parallel computing and its implications on system softwa...
A Survey on in-a-box parallel computing and its implications on system softwa...A Survey on in-a-box parallel computing and its implications on system softwa...
A Survey on in-a-box parallel computing and its implications on system softwa...ChangWoo Min
 
DeepLearningAlgorithmAccelerationOnHardwarePlatforms_V2.0
DeepLearningAlgorithmAccelerationOnHardwarePlatforms_V2.0DeepLearningAlgorithmAccelerationOnHardwarePlatforms_V2.0
DeepLearningAlgorithmAccelerationOnHardwarePlatforms_V2.0Sahil Kaw
 
Aca lab project (rohit malav)
Aca lab project (rohit malav) Aca lab project (rohit malav)
Aca lab project (rohit malav) Rohit malav
 
APSys Presentation Final copy2
APSys Presentation Final copy2APSys Presentation Final copy2
APSys Presentation Final copy2Junli Gu
 
Survey_Report_Deep Learning Algorithm
Survey_Report_Deep Learning AlgorithmSurvey_Report_Deep Learning Algorithm
Survey_Report_Deep Learning AlgorithmSahil Kaw
 
Professional Project - C++ OpenCL - Platform agnostic hardware acceleration ...
Professional Project - C++ OpenCL - Platform agnostic hardware acceleration  ...Professional Project - C++ OpenCL - Platform agnostic hardware acceleration  ...
Professional Project - C++ OpenCL - Platform agnostic hardware acceleration ...Callum McMahon
 
Fast data in times of crisis with GPU accelerated database QikkDB | Business ...
Fast data in times of crisis with GPU accelerated database QikkDB | Business ...Fast data in times of crisis with GPU accelerated database QikkDB | Business ...
Fast data in times of crisis with GPU accelerated database QikkDB | Business ...Matej Misik
 
Nikravesh big datafeb2013bt
Nikravesh big datafeb2013btNikravesh big datafeb2013bt
Nikravesh big datafeb2013btMasoud Nikravesh
 
Xian He Sun Data-Centric Into
Xian He Sun Data-Centric IntoXian He Sun Data-Centric Into
Xian He Sun Data-Centric IntoSciCompIIT
 
Kindratenko hpc day 2011 Kiev
Kindratenko hpc day 2011 KievKindratenko hpc day 2011 Kiev
Kindratenko hpc day 2011 KievVolodymyr Saviak
 
Big Data Anti-Patterns: Lessons From the Front LIne
Big Data Anti-Patterns: Lessons From the Front LIneBig Data Anti-Patterns: Lessons From the Front LIne
Big Data Anti-Patterns: Lessons From the Front LIneDouglas Moore
 
Cassandra in Operation
Cassandra in OperationCassandra in Operation
Cassandra in Operationniallmilton
 
Hardware Acceleration of SVM Training for Real-time Embedded Systems: An Over...
Hardware Acceleration of SVM Training for Real-time Embedded Systems: An Over...Hardware Acceleration of SVM Training for Real-time Embedded Systems: An Over...
Hardware Acceleration of SVM Training for Real-time Embedded Systems: An Over...Ilham Amezzane
 
Deep learning for FinTech
Deep learning for FinTechDeep learning for FinTech
Deep learning for FinTechgeetachauhan
 
HPC_June2011
HPC_June2011HPC_June2011
HPC_June2011cfloare
 

Semelhante a Heshan Lin: Accelerating Short Read Mapping, Local Realignment, and a Discovery on a Graphics Processing Unit (GPU) (20)

Exploring hybrid memory for gpu energy efficiency through software hardware c...
Exploring hybrid memory for gpu energy efficiency through software hardware c...Exploring hybrid memory for gpu energy efficiency through software hardware c...
Exploring hybrid memory for gpu energy efficiency through software hardware c...
 
A Survey on in-a-box parallel computing and its implications on system softwa...
A Survey on in-a-box parallel computing and its implications on system softwa...A Survey on in-a-box parallel computing and its implications on system softwa...
A Survey on in-a-box parallel computing and its implications on system softwa...
 
DeepLearningAlgorithmAccelerationOnHardwarePlatforms_V2.0
DeepLearningAlgorithmAccelerationOnHardwarePlatforms_V2.0DeepLearningAlgorithmAccelerationOnHardwarePlatforms_V2.0
DeepLearningAlgorithmAccelerationOnHardwarePlatforms_V2.0
 
Aca lab project (rohit malav)
Aca lab project (rohit malav) Aca lab project (rohit malav)
Aca lab project (rohit malav)
 
APSys Presentation Final copy2
APSys Presentation Final copy2APSys Presentation Final copy2
APSys Presentation Final copy2
 
Deep learning with FPGA
Deep learning with FPGADeep learning with FPGA
Deep learning with FPGA
 
Survey_Report_Deep Learning Algorithm
Survey_Report_Deep Learning AlgorithmSurvey_Report_Deep Learning Algorithm
Survey_Report_Deep Learning Algorithm
 
Professional Project - C++ OpenCL - Platform agnostic hardware acceleration ...
Professional Project - C++ OpenCL - Platform agnostic hardware acceleration  ...Professional Project - C++ OpenCL - Platform agnostic hardware acceleration  ...
Professional Project - C++ OpenCL - Platform agnostic hardware acceleration ...
 
Fast data in times of crisis with GPU accelerated database QikkDB | Business ...
Fast data in times of crisis with GPU accelerated database QikkDB | Business ...Fast data in times of crisis with GPU accelerated database QikkDB | Business ...
Fast data in times of crisis with GPU accelerated database QikkDB | Business ...
 
Dl2 computing gpu
Dl2 computing gpuDl2 computing gpu
Dl2 computing gpu
 
Nikravesh big datafeb2013bt
Nikravesh big datafeb2013btNikravesh big datafeb2013bt
Nikravesh big datafeb2013bt
 
2017 04-13-google-tpu-04
2017 04-13-google-tpu-042017 04-13-google-tpu-04
2017 04-13-google-tpu-04
 
Xian He Sun Data-Centric Into
Xian He Sun Data-Centric IntoXian He Sun Data-Centric Into
Xian He Sun Data-Centric Into
 
Kindratenko hpc day 2011 Kiev
Kindratenko hpc day 2011 KievKindratenko hpc day 2011 Kiev
Kindratenko hpc day 2011 Kiev
 
Big Data Anti-Patterns: Lessons From the Front LIne
Big Data Anti-Patterns: Lessons From the Front LIneBig Data Anti-Patterns: Lessons From the Front LIne
Big Data Anti-Patterns: Lessons From the Front LIne
 
Cassandra in Operation
Cassandra in OperationCassandra in Operation
Cassandra in Operation
 
Hardware Acceleration of SVM Training for Real-time Embedded Systems: An Over...
Hardware Acceleration of SVM Training for Real-time Embedded Systems: An Over...Hardware Acceleration of SVM Training for Real-time Embedded Systems: An Over...
Hardware Acceleration of SVM Training for Real-time Embedded Systems: An Over...
 
Deep learning for FinTech
Deep learning for FinTechDeep learning for FinTech
Deep learning for FinTech
 
HPC_June2011
HPC_June2011HPC_June2011
HPC_June2011
 
Tridiagonal solver in gpu
Tridiagonal solver in gpuTridiagonal solver in gpu
Tridiagonal solver in gpu
 

Mais de GigaScience, BGI Hong Kong

IDW2022: A decades experiences in transparent and interactive publication of ...
IDW2022: A decades experiences in transparent and interactive publication of ...IDW2022: A decades experiences in transparent and interactive publication of ...
IDW2022: A decades experiences in transparent and interactive publication of ...GigaScience, BGI Hong Kong
 
Scott Edmunds: Preparing a data paper for GigaByte
Scott Edmunds: Preparing a data paper for GigaByteScott Edmunds: Preparing a data paper for GigaByte
Scott Edmunds: Preparing a data paper for GigaByteGigaScience, BGI Hong Kong
 
STM Week: Demonstrating bringing publications to life via an End-to-end XML p...
STM Week: Demonstrating bringing publications to life via an End-to-end XML p...STM Week: Demonstrating bringing publications to life via an End-to-end XML p...
STM Week: Demonstrating bringing publications to life via an End-to-end XML p...GigaScience, BGI Hong Kong
 
Measuring richness. A RCT to quantify the benefits of metadata quality; Scott...
Measuring richness. A RCT to quantify the benefits of metadata quality; Scott...Measuring richness. A RCT to quantify the benefits of metadata quality; Scott...
Measuring richness. A RCT to quantify the benefits of metadata quality; Scott...GigaScience, BGI Hong Kong
 
Scott Edmunds: A new publishing workflow for rapid dissemination of genomes u...
Scott Edmunds: A new publishing workflow for rapid dissemination of genomes u...Scott Edmunds: A new publishing workflow for rapid dissemination of genomes u...
Scott Edmunds: A new publishing workflow for rapid dissemination of genomes u...GigaScience, BGI Hong Kong
 
Scott Edmunds: Quantifying how FAIR is Hong Kong: The Hong Kong Shareability ...
Scott Edmunds: Quantifying how FAIR is Hong Kong: The Hong Kong Shareability ...Scott Edmunds: Quantifying how FAIR is Hong Kong: The Hong Kong Shareability ...
Scott Edmunds: Quantifying how FAIR is Hong Kong: The Hong Kong Shareability ...GigaScience, BGI Hong Kong
 
Scott Edmunds talk at IARC: How can we make science more trustworthy and FAIR...
Scott Edmunds talk at IARC: How can we make science more trustworthy and FAIR...Scott Edmunds talk at IARC: How can we make science more trustworthy and FAIR...
Scott Edmunds talk at IARC: How can we make science more trustworthy and FAIR...GigaScience, BGI Hong Kong
 
PAGAsia19 - The Digitalization of Ruili Botanical Garden Project: Production...
PAGAsia19 - The Digitalization of Ruili Botanical Garden Project:  Production...PAGAsia19 - The Digitalization of Ruili Botanical Garden Project:  Production...
PAGAsia19 - The Digitalization of Ruili Botanical Garden Project: Production...GigaScience, BGI Hong Kong
 
Democratising biodiversity and genomics research: open and citizen science to...
Democratising biodiversity and genomics research: open and citizen science to...Democratising biodiversity and genomics research: open and citizen science to...
Democratising biodiversity and genomics research: open and citizen science to...GigaScience, BGI Hong Kong
 
Ricardo Wurmus: Reproducible genomics analysis pipelines with GNU Guix
Ricardo Wurmus: Reproducible genomics analysis pipelines with GNU GuixRicardo Wurmus: Reproducible genomics analysis pipelines with GNU Guix
Ricardo Wurmus: Reproducible genomics analysis pipelines with GNU GuixGigaScience, BGI Hong Kong
 
Anil Thanki at #ICG13: Aequatus: An open-source homology browser
Anil Thanki at #ICG13: Aequatus: An open-source homology browserAnil Thanki at #ICG13: Aequatus: An open-source homology browser
Anil Thanki at #ICG13: Aequatus: An open-source homology browserGigaScience, BGI Hong Kong
 
Paul Pavlidis at #ICG13: Monitoring changes in the Gene Ontology and their im...
Paul Pavlidis at #ICG13: Monitoring changes in the Gene Ontology and their im...Paul Pavlidis at #ICG13: Monitoring changes in the Gene Ontology and their im...
Paul Pavlidis at #ICG13: Monitoring changes in the Gene Ontology and their im...GigaScience, BGI Hong Kong
 
Venice Juanillas at #ICG13: Rice Galaxy: an open resource for plant science
Venice Juanillas at #ICG13: Rice Galaxy: an open resource for plant scienceVenice Juanillas at #ICG13: Rice Galaxy: an open resource for plant science
Venice Juanillas at #ICG13: Rice Galaxy: an open resource for plant scienceGigaScience, BGI Hong Kong
 
Stefan Prost at #ICG13: Genome analyses show strong selection on coloration, ...
Stefan Prost at #ICG13: Genome analyses show strong selection on coloration, ...Stefan Prost at #ICG13: Genome analyses show strong selection on coloration, ...
Stefan Prost at #ICG13: Genome analyses show strong selection on coloration, ...GigaScience, BGI Hong Kong
 
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...GigaScience, BGI Hong Kong
 
Chris Armit at IDW2018: Democratising Data Publishing: A Global Perspective
Chris Armit at IDW2018: Democratising Data Publishing: A Global PerspectiveChris Armit at IDW2018: Democratising Data Publishing: A Global Perspective
Chris Armit at IDW2018: Democratising Data Publishing: A Global PerspectiveGigaScience, BGI Hong Kong
 
EMBL OA Week: FAIR or unfair? Principled publishing for more Open & Democrati...
EMBL OA Week: FAIR or unfair? Principled publishing for more Open & Democrati...EMBL OA Week: FAIR or unfair? Principled publishing for more Open & Democrati...
EMBL OA Week: FAIR or unfair? Principled publishing for more Open & Democrati...GigaScience, BGI Hong Kong
 
Reproducible method and benchmarking publishing for the data (and evidence) d...
Reproducible method and benchmarking publishing for the data (and evidence) d...Reproducible method and benchmarking publishing for the data (and evidence) d...
Reproducible method and benchmarking publishing for the data (and evidence) d...GigaScience, BGI Hong Kong
 
Mary Ann Tuli: What MODs can learn from Journals – a GigaDB curator’s perspec...
Mary Ann Tuli: What MODs can learn from Journals – a GigaDB curator’s perspec...Mary Ann Tuli: What MODs can learn from Journals – a GigaDB curator’s perspec...
Mary Ann Tuli: What MODs can learn from Journals – a GigaDB curator’s perspec...GigaScience, BGI Hong Kong
 

Mais de GigaScience, BGI Hong Kong (20)

IDW2022: A decades experiences in transparent and interactive publication of ...
IDW2022: A decades experiences in transparent and interactive publication of ...IDW2022: A decades experiences in transparent and interactive publication of ...
IDW2022: A decades experiences in transparent and interactive publication of ...
 
Scott Edmunds: Preparing a data paper for GigaByte
Scott Edmunds: Preparing a data paper for GigaByteScott Edmunds: Preparing a data paper for GigaByte
Scott Edmunds: Preparing a data paper for GigaByte
 
STM Week: Demonstrating bringing publications to life via an End-to-end XML p...
STM Week: Demonstrating bringing publications to life via an End-to-end XML p...STM Week: Demonstrating bringing publications to life via an End-to-end XML p...
STM Week: Demonstrating bringing publications to life via an End-to-end XML p...
 
Measuring richness. A RCT to quantify the benefits of metadata quality; Scott...
Measuring richness. A RCT to quantify the benefits of metadata quality; Scott...Measuring richness. A RCT to quantify the benefits of metadata quality; Scott...
Measuring richness. A RCT to quantify the benefits of metadata quality; Scott...
 
Scott Edmunds: A new publishing workflow for rapid dissemination of genomes u...
Scott Edmunds: A new publishing workflow for rapid dissemination of genomes u...Scott Edmunds: A new publishing workflow for rapid dissemination of genomes u...
Scott Edmunds: A new publishing workflow for rapid dissemination of genomes u...
 
Scott Edmunds: Quantifying how FAIR is Hong Kong: The Hong Kong Shareability ...
Scott Edmunds: Quantifying how FAIR is Hong Kong: The Hong Kong Shareability ...Scott Edmunds: Quantifying how FAIR is Hong Kong: The Hong Kong Shareability ...
Scott Edmunds: Quantifying how FAIR is Hong Kong: The Hong Kong Shareability ...
 
Scott Edmunds talk at IARC: How can we make science more trustworthy and FAIR...
Scott Edmunds talk at IARC: How can we make science more trustworthy and FAIR...Scott Edmunds talk at IARC: How can we make science more trustworthy and FAIR...
Scott Edmunds talk at IARC: How can we make science more trustworthy and FAIR...
 
PAGAsia19 - The Digitalization of Ruili Botanical Garden Project: Production...
PAGAsia19 - The Digitalization of Ruili Botanical Garden Project:  Production...PAGAsia19 - The Digitalization of Ruili Botanical Garden Project:  Production...
PAGAsia19 - The Digitalization of Ruili Botanical Garden Project: Production...
 
Democratising biodiversity and genomics research: open and citizen science to...
Democratising biodiversity and genomics research: open and citizen science to...Democratising biodiversity and genomics research: open and citizen science to...
Democratising biodiversity and genomics research: open and citizen science to...
 
Hong Kong Open Access & GigaScience: CCHK@10
Hong Kong Open Access & GigaScience: CCHK@10Hong Kong Open Access & GigaScience: CCHK@10
Hong Kong Open Access & GigaScience: CCHK@10
 
Ricardo Wurmus: Reproducible genomics analysis pipelines with GNU Guix
Ricardo Wurmus: Reproducible genomics analysis pipelines with GNU GuixRicardo Wurmus: Reproducible genomics analysis pipelines with GNU Guix
Ricardo Wurmus: Reproducible genomics analysis pipelines with GNU Guix
 
Anil Thanki at #ICG13: Aequatus: An open-source homology browser
Anil Thanki at #ICG13: Aequatus: An open-source homology browserAnil Thanki at #ICG13: Aequatus: An open-source homology browser
Anil Thanki at #ICG13: Aequatus: An open-source homology browser
 
Paul Pavlidis at #ICG13: Monitoring changes in the Gene Ontology and their im...
Paul Pavlidis at #ICG13: Monitoring changes in the Gene Ontology and their im...Paul Pavlidis at #ICG13: Monitoring changes in the Gene Ontology and their im...
Paul Pavlidis at #ICG13: Monitoring changes in the Gene Ontology and their im...
 
Venice Juanillas at #ICG13: Rice Galaxy: an open resource for plant science
Venice Juanillas at #ICG13: Rice Galaxy: an open resource for plant scienceVenice Juanillas at #ICG13: Rice Galaxy: an open resource for plant science
Venice Juanillas at #ICG13: Rice Galaxy: an open resource for plant science
 
Stefan Prost at #ICG13: Genome analyses show strong selection on coloration, ...
Stefan Prost at #ICG13: Genome analyses show strong selection on coloration, ...Stefan Prost at #ICG13: Genome analyses show strong selection on coloration, ...
Stefan Prost at #ICG13: Genome analyses show strong selection on coloration, ...
 
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...
Lisa Johnson at #ICG13: Re-assembly, quality evaluation, and annotation of 67...
 
Chris Armit at IDW2018: Democratising Data Publishing: A Global Perspective
Chris Armit at IDW2018: Democratising Data Publishing: A Global PerspectiveChris Armit at IDW2018: Democratising Data Publishing: A Global Perspective
Chris Armit at IDW2018: Democratising Data Publishing: A Global Perspective
 
EMBL OA Week: FAIR or unfair? Principled publishing for more Open & Democrati...
EMBL OA Week: FAIR or unfair? Principled publishing for more Open & Democrati...EMBL OA Week: FAIR or unfair? Principled publishing for more Open & Democrati...
EMBL OA Week: FAIR or unfair? Principled publishing for more Open & Democrati...
 
Reproducible method and benchmarking publishing for the data (and evidence) d...
Reproducible method and benchmarking publishing for the data (and evidence) d...Reproducible method and benchmarking publishing for the data (and evidence) d...
Reproducible method and benchmarking publishing for the data (and evidence) d...
 
Mary Ann Tuli: What MODs can learn from Journals – a GigaDB curator’s perspec...
Mary Ann Tuli: What MODs can learn from Journals – a GigaDB curator’s perspec...Mary Ann Tuli: What MODs can learn from Journals – a GigaDB curator’s perspec...
Mary Ann Tuli: What MODs can learn from Journals – a GigaDB curator’s perspec...
 

Último

NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopBachir Benyammi
 
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...Aggregage
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfDianaGray10
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Websitedgelyza
 
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostKubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostMatt Ray
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Brian Pichman
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemAsko Soukka
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Will Schroeder
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesMd Hossain Ali
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxGDSC PJATK
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPathCommunity
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarPrecisely
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioChristian Posta
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAshyamraj55
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding TeamAdam Moalla
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8DianaGray10
 
Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdfPedro Manuel
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 

Último (20)

NIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 WorkshopNIST Cybersecurity Framework (CSF) 2.0 Workshop
NIST Cybersecurity Framework (CSF) 2.0 Workshop
 
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data a...
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
COMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a WebsiteCOMPUTER 10 Lesson 8 - Building a Website
COMPUTER 10 Lesson 8 - Building a Website
 
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCostKubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
KubeConEU24-Monitoring Kubernetes and Cloud Spend with OpenCost
 
Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )Building Your Own AI Instance (TBLC AI )
Building Your Own AI Instance (TBLC AI )
 
Bird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystemBird eye's view on Camunda open source ecosystem
Bird eye's view on Camunda open source ecosystem
 
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
Apres-Cyber - The Data Dilemma: Bridging Offensive Operations and Machine Lea...
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptx
 
UiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation DevelopersUiPath Community: AI for UiPath Automation Developers
UiPath Community: AI for UiPath Automation Developers
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
 
Comparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and IstioComparing Sidecar-less Service Mesh from Cilium and Istio
Comparing Sidecar-less Service Mesh from Cilium and Istio
 
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPAAnypoint Code Builder , Google Pub sub connector and MuleSoft RPA
Anypoint Code Builder , Google Pub sub connector and MuleSoft RPA
 
9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team9 Steps For Building Winning Founding Team
9 Steps For Building Winning Founding Team
 
20150722 - AGV
20150722 - AGV20150722 - AGV
20150722 - AGV
 
UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8UiPath Studio Web workshop series - Day 8
UiPath Studio Web workshop series - Day 8
 
Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdf
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 

Heshan Lin: Accelerating Short Read Mapping, Local Realignment, and a Discovery on a Graphics Processing Unit (GPU)