Genomes On Rails

•

3 gefällt mir•3,624 views

Originally given at RailsConf, this talk outlines how the Wellcome Trust Sanger Institute is using Ruby and Rails as part of their new sequencing platform.

Genomes on Rails
has_many :sequences

Hello

➊
Previously

➋
Production

➌
Process

➊ Previously

The human genome

15 years to decode
3 billion letters

$3 billion

$3 billion ++

Race for the prize

Open data

Open source

Perl

Lots of Perl

Lots of Perl
~4500 modules

Onwards!

40 species

Map evolutionary
space

Compare genomes

compare species
Compare genomes

compare species
Compare genomes

compa re indi viduals

More Perl
~1500 modules

Quantum leap!

1000 personal
genomes

beyond 23andme
1000 personal
genomes

Hypertension

Diabetes

Coronary heart disease

Bipolar disorder

Malaria

➋ Production

Register projects

Register samples

Sample prep

Sequencing

Analysis

Change!

Flexible data capture

Virtual fields

Sample

Name
Organism
Concentration

class Sample < ActiveRecord::Base
has_many :descriptors
has_many :descriptor_values
end

Key value pairs

Faster than you’d think

Change!

V1 V2

Sample Sample

Name Name
Organism Organism
Concentration Concentration
Origin
Quality metric

Rationalize!

V1 V2

Sample Sample

Name Name
Organism Organism
Concentration Concentration
Origin
Quality metric

Mapping!

V1 V3

Sample Sample

Name Name
Organism Species
Concentration Concentration
Origin Origin
Quality metric

Pipeline management

Workﬂow

Task 1 Task 2 Task 3

Name Name Name
Operator Serial number Passed
Instrument Kit

Throughput!

320Tb 450 CPU

320Tb 450 CPU Archive

75 Tb

pilot study!

Multiple apps

Multiple instances

Loosely coupled

Loose coupling is hard

Deployment

Maintenance

Monitoring

Hard to maintain
separation

Support novel science

Single code base

nginx reverse proxy

fairnginx

Mongrel

Fast deployment

Automate everything

Play well with others!

Interoperability!

Legacy databases

RESTful services

Generate API stubs

SCALE!

Trillionics

2 X

150Tb per week

Over 6 months

More hardware

400 additional nodes

additional 360 Tb

Towards a
Virtual Institute

Lots of data

Lots of data, lots of
people

Lots of data, lots of
people, lots of compute

Lots of data, lots of
people, lots of compute,
lots of uses

Lots of data, lots of
people, lots of compute,
lots of uses, lots and lots
and lots and lots...

➌ Process

Concept Requirements Development Product

takes too lon
g
Concept Requirements Development Product

takes too lon
g
Concept Requirements Development Product

the se change

Plan Development

REVIEW Concept

What we need Get ready

Focused

Project owner is key

Weekly releases

More flexible

Less time

Better transparency

Less software

Sequencing informatics

Thank you

GREENISGOOD.CO.UK

Weitere ähnliche Inhalte

Ähnlich wie Genomes On Rails

Introducing VSWarehouse - A Scalable Genetic Data Warehouse for VarSeq

Introducing VSWarehouse - A Scalable Genetic Data Warehouse for VarSeq

Introducing VSWarehouse - A Scalable Genetic Data Warehouse for VarSeq

Golden Helix Inc

Analysis of rare variants for population-level data is becoming a more common component of genomic research. Whether using exome chips, whole-exome sequencing, or even whole-genome sequencing, rare variation analysis requires a unique analytic perspective. In this presentation, we will review some of the tools available in SVS for large sequenced cohorts including summarization, visualization, and statistical analysis of rare variants using KBAC, CMC, and other methods. Special attention will be given to useful functions available for download from the SVS scripts repository.

Rare Variant Analysis Workflows: Analyzing NGS Data in Large Cohorts

Rare Variant Analysis Workflows: Analyzing NGS Data in Large Cohorts

Rare Variant Analysis Workflows: Analyzing NGS Data in Large Cohorts

Golden Helix Inc

Cassava genome hub

Cassava genome hub

Cassava genome hub

Services For Science April 2009

Services For Science April 2009

Services For Science April 2009

2014 nicta-reproducibility

2014 nicta-reproducibility

2014 nicta-reproducibility

BioIT Europe 2010 - BioCatalogue

BioIT Europe 2010 - BioCatalogue

BioIT Europe 2010 - BioCatalogue

Sharing massive data analysis: from provenance to linked experiment reports

Sharing massive data analysis: from provenance to linked experiment reports

Sharing massive data analysis: from provenance to linked experiment reports

DCC Keynote 2007

DCC Keynote 2007

DCC Keynote 2007

Greetings from Genotypic Technology, Bangalore (www.genotypic.co.in). We are a 13 year old genomics and bioinformatics company ( 65+ employees, Service. Products and R & D) based in Bangalore, India, primarily working on applications of Microarrays and Next Generation Sequencing in Human Health and Disease, including in Molecular Diagnostics, Prognosis, Therapeutics, Vaccine Research, Basic Science Research, Veterinary Science, Agriculture, Industrial Biotechnology, Microbial Genetics and more. Our major strength is in customized genomics solutions, particularly in your field, we can develop panel of markers for specific diseases, optimize, validate and help commercialize on open platforms or specific instrument platforms- in microarrays and sequencing based methods/ assays. We can also use genomic markers to aid in treatment of specific disease using personalized medicine approaches. All this can be done on a comprehensive end-to-end manner in our company as we have a very good blend of molecular biology and bioinformatics with totally 6 Ph.Ds. We work closely with Agilent's R &D as their partner.

Next generation sequencing & microarray-- Genotypic Technology

Next generation sequencing & microarray-- Genotypic Technology

Next generation sequencing & microarray-- Genotypic Technology

Genotypic Technology

Ngs part i 2013

Ngs part i 2013

Ngs part i 2013

A workshop is intended for those who are interested in and are in the planning stages of conducting an RNA-Seq experiment. Topics to be discussed will include: * Experimental Design of RNA-Seq experiment * Sample preparation, best practices * High throughput sequencing basics and choices * Cost estimation * Differential Gene Expression Analysis * Data cleanup and quality assurance * Mapping your data * Assigning reads to genes and counting * Analysis of differentially expressed genes * Downstream analysis/visualizations and tables

So you want to do a: RNAseq experiment, Differential Gene Expression Analysis

So you want to do a: RNAseq experiment, Differential Gene Expression Analysis

So you want to do a: RNAseq experiment, Differential Gene Expression Analysis

University of California, Davis

Utility HPC: Right Systems, Right Scale, Right Science

Utility HPC: Right Systems, Right Scale, Right Science

Utility HPC: Right Systems, Right Scale, Right Science

Chef Software, Inc.

Dr Justin Schonfeld - Bioinformatics Applications

Dr Justin Schonfeld - Bioinformatics Applications

Dr Justin Schonfeld - Bioinformatics Applications

Consortium for the Barcode of Life (CBOL)

Zero ETL analytics with LLAP in Azure HDInsight

Zero ETL analytics with LLAP in Azure HDInsight

Zero ETL analytics with LLAP in Azure HDInsight

Ashish Thapliyal

BioThings API: Building a FAIR API Ecosystem for Biomedical Knowledge

BioThings API: Building a FAIR API Ecosystem for Biomedical Knowledge

BioThings API: Building a FAIR API Ecosystem for Biomedical Knowledge

Solr and Elasticsearch, a performance study

Solr and Elasticsearch, a performance study

Solr and Elasticsearch, a performance study

Exploring next-generation sequence data requires an iterative process whereby a researcher can find a "needle in the haystack" that contributes to a particular disease or other phenotype. Once that needle has been found, a workflow can be established for analyzing other samples or to create a repeatable, time-effective process for clinical usage. Yet, repeating a workflow that involves several different quality control, filtering, and analysis steps is burdensome and error-prone. To solve this problem, we introduce custom workflow automation in SVS, which allows you to collapse dozens of steps into a few run-specific options. This click-and-go process saves an exponential amount of time while eliminating the inevitable user error that happens with tedious repetition and ensures that the exact same protocol is followed with each run, a critical requirement for use in the clinic.

Making NGS Data Analysis Clinically Practical: Repeatable and Time-Effective ...

Making NGS Data Analysis Clinically Practical: Repeatable and Time-Effective ...

Making NGS Data Analysis Clinically Practical: Repeatable and Time-Effective ...

Golden Helix Inc

Beyond Transparency: Success & Lessons From tambisBoston2003

Beyond Transparency: Success & Lessons From tambisBoston2003

Beyond Transparency: Success & Lessons From tambisBoston2003

robertstevens65

iMicrobe and iVirus: Extending the iPlant cyberinfrastructure from plants to ...

iMicrobe and iVirus: Extending the iPlant cyberinfrastructure from plants to ...

iMicrobe and iVirus: Extending the iPlant cyberinfrastructure from plants to ...

Prometheus lightning talk (Devops Dublin March 2015)

Prometheus lightning talk (Devops Dublin March 2015)

Prometheus lightning talk (Devops Dublin March 2015)

Ähnlich wie Genomes On Rails (20)

Introducing VSWarehouse - A Scalable Genetic Data Warehouse for VarSeq

Introducing VSWarehouse - A Scalable Genetic Data Warehouse for VarSeq

Introducing VSWarehouse - A Scalable Genetic Data Warehouse for VarSeq

Rare Variant Analysis Workflows: Analyzing NGS Data in Large Cohorts

Rare Variant Analysis Workflows: Analyzing NGS Data in Large Cohorts

Rare Variant Analysis Workflows: Analyzing NGS Data in Large Cohorts

Cassava genome hub

Cassava genome hub

Cassava genome hub

Services For Science April 2009

Services For Science April 2009

Services For Science April 2009

2014 nicta-reproducibility

2014 nicta-reproducibility

2014 nicta-reproducibility

BioIT Europe 2010 - BioCatalogue

BioIT Europe 2010 - BioCatalogue

BioIT Europe 2010 - BioCatalogue

Sharing massive data analysis: from provenance to linked experiment reports

Sharing massive data analysis: from provenance to linked experiment reports

Sharing massive data analysis: from provenance to linked experiment reports

DCC Keynote 2007

DCC Keynote 2007

DCC Keynote 2007

Next generation sequencing & microarray-- Genotypic Technology

Next generation sequencing & microarray-- Genotypic Technology

Next generation sequencing & microarray-- Genotypic Technology

Ngs part i 2013

Ngs part i 2013

Ngs part i 2013

So you want to do a: RNAseq experiment, Differential Gene Expression Analysis

So you want to do a: RNAseq experiment, Differential Gene Expression Analysis

So you want to do a: RNAseq experiment, Differential Gene Expression Analysis

Utility HPC: Right Systems, Right Scale, Right Science

Utility HPC: Right Systems, Right Scale, Right Science

Utility HPC: Right Systems, Right Scale, Right Science

Dr Justin Schonfeld - Bioinformatics Applications

Dr Justin Schonfeld - Bioinformatics Applications

Dr Justin Schonfeld - Bioinformatics Applications

Zero ETL analytics with LLAP in Azure HDInsight

Zero ETL analytics with LLAP in Azure HDInsight

Zero ETL analytics with LLAP in Azure HDInsight

BioThings API: Building a FAIR API Ecosystem for Biomedical Knowledge

BioThings API: Building a FAIR API Ecosystem for Biomedical Knowledge

BioThings API: Building a FAIR API Ecosystem for Biomedical Knowledge

Solr and Elasticsearch, a performance study

Solr and Elasticsearch, a performance study

Solr and Elasticsearch, a performance study

Making NGS Data Analysis Clinically Practical: Repeatable and Time-Effective ...

Making NGS Data Analysis Clinically Practical: Repeatable and Time-Effective ...

Making NGS Data Analysis Clinically Practical: Repeatable and Time-Effective ...

Beyond Transparency: Success & Lessons From tambisBoston2003

Beyond Transparency: Success & Lessons From tambisBoston2003

Beyond Transparency: Success & Lessons From tambisBoston2003

iMicrobe and iVirus: Extending the iPlant cyberinfrastructure from plants to ...

iMicrobe and iVirus: Extending the iPlant cyberinfrastructure from plants to ...

iMicrobe and iVirus: Extending the iPlant cyberinfrastructure from plants to ...

Prometheus lightning talk (Devops Dublin March 2015)

Prometheus lightning talk (Devops Dublin March 2015)

Prometheus lightning talk (Devops Dublin March 2015)

Mehr von Matt Wood

Genomics in the Cloud

Genomics in the Cloud

Genomics in the Cloud

How to make Friendfeeds and influence people

How to make Friendfeeds and influence people

How to make Friendfeeds and influence people

Genomes On Rails

Genomes On Rails

Genomes On Rails

Into The Wonderful

Into The Wonderful

Into The Wonderful

Extreme Informatics

Extreme Informatics

Extreme Informatics

What can Bioinformaticians learn from YouTube?

What can Bioinformaticians learn from YouTube?

What can Bioinformaticians learn from YouTube?

The A to Z of developing for the web

The A to Z of developing for the web

The A to Z of developing for the web

Introduction to Scrum

Introduction to Scrum

Introduction to Scrum

30 Minutes With Rails

30 Minutes With Rails

30 Minutes With Rails

Subversion Best Practices

Subversion Best Practices

Subversion Best Practices

Lucene

Introduction to the Semantic Web

Introduction to the Semantic Web

Introduction to the Semantic Web

Mehr von Matt Wood (12)

Genomics in the Cloud

Genomics in the Cloud

Genomics in the Cloud

How to make Friendfeeds and influence people

How to make Friendfeeds and influence people

How to make Friendfeeds and influence people

Genomes On Rails

Genomes On Rails

Genomes On Rails

Into The Wonderful

Into The Wonderful

Into The Wonderful

Extreme Informatics

Extreme Informatics

Extreme Informatics

What can Bioinformaticians learn from YouTube?

What can Bioinformaticians learn from YouTube?

What can Bioinformaticians learn from YouTube?

The A to Z of developing for the web

The A to Z of developing for the web

The A to Z of developing for the web

Introduction to Scrum

Introduction to Scrum

Introduction to Scrum

30 Minutes With Rails

30 Minutes With Rails

30 Minutes With Rails

Subversion Best Practices

Subversion Best Practices

Subversion Best Practices

Lucene

Introduction to the Semantic Web

Introduction to the Semantic Web

Introduction to the Semantic Web

Kürzlich hochgeladen

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

[2024]Digital Global Overview Report 2024 Meltwater.pdf

[2024]Digital Global Overview Report 2024 Meltwater.pdf

[2024]Digital Global Overview Report 2024 Meltwater.pdf

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Remote DBA Services

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Principled Technologies

Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

The Digital Insurer

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

A Domino Admins Adventures (Engage 2024)

A Domino Admins Adventures (Engage 2024)

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?

What Are The Drone Anti-jamming Systems Technology?

What Are The Drone Anti-jamming Systems Technology?

What Are The Drone Anti-jamming Systems Technology?

Antenna Manufacturer Coco

Kürzlich hochgeladen (20)

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

[2024]Digital Global Overview Report 2024 Meltwater.pdf

[2024]Digital Global Overview Report 2024 Meltwater.pdf

[2024]Digital Global Overview Report 2024 Meltwater.pdf

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

Strategies for Landing an Oracle DBA Job as a Fresher

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

AWS Community Day CPH - Three problems of Terraform

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Boost PC performance: How more available memory can improve productivity

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

🐬 The future of MySQL is Postgres 🐘

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

Partners Life - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

Axa Assurance Maroc - Insurer Innovation Award 2024

A Domino Admins Adventures (Engage 2024)

A Domino Admins Adventures (Engage 2024)

A Domino Admins Adventures (Engage 2024)

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

What Are The Drone Anti-jamming Systems Technology?

What Are The Drone Anti-jamming Systems Technology?

What Are The Drone Anti-jamming Systems Technology?

Genomes On Rails

1. Genomes on Rails has_many :sequences

3. ➊ Previously ➋ Production ➌ Process

4. ➊ Previously

5. The human genome 15 years to decode 3 billion letters

7. $3 billion ++

8. Race for the prize

9.

10.

12. Open source

14. Lots of Perl

15. Lots of Perl ~4500 modules

18.

19.

20.

21. Map evolutionary space

22. Compare genomes

23. compare species Compare genomes

24. compare species Compare genomes compa re indi viduals

25. More Perl ~1500 modules

26.

27.

28.

29. Quantum leap!

30. 1000 personal genomes

31. beyond 23andme 1000 personal genomes

32. Hypertension

34. Coronary heart disease

35. Bipolar disorder

37. ➋ Production

38. Register projects Register samples Sample prep Sequencing Analysis

39.

40.

41.

43. Flexible data capture

44. Virtual fields

45. Sample Name Organism Concentration

46. class Sample < ActiveRecord::Base has_many :descriptors has_many :descriptor_values end

47. Key value pairs

48. Faster than you’d think

49.

50.

52. V1 V2 Sample Sample Name Name Organism Organism Concentration Concentration Origin Quality metric

53.

54.

55. Rationalize!

56. V1 V2 Sample Sample Name Name Organism Organism Concentration Concentration Origin Quality metric

58. V1 V3 Sample Sample Name Name Organism Species Concentration Concentration Origin Origin Quality metric

59. Pipeline management

60. Workﬂow Task 1 Task 2 Task 3 Name Name Name Operator Serial number Passed Instrument Kit

61.

62.

63.

64. Throughput!

65.

66. 320Tb 450 CPU

67. 320Tb 450 CPU Archive

68. 75 Tb

69.

70.

71.

72.

73. pilot study!

74. Multiple apps

75. Multiple instances

76. Loosely coupled

77. Loose coupling is hard

79. Maintenance

81. Hard to maintain separation

82. Support novel science

83. Single code base

84. nginx reverse proxy

87. Fast deployment

88. Automate everything

89.

90. Play well with others! Interoperability!

91. Legacy databases

92. RESTful services

93. Generate API stubs

94.

96. Trillionics

97. 2 X

98. 150Tb per week

99. Over 6 months

100. More hardware

101. 400 additional nodes

102. additional 360 Tb

103. Towards a Virtual Institute

104. Lots of data

105. Lots of data, lots of people

106. Lots of data, lots of people, lots of compute

107. Lots of data, lots of people, lots of compute, lots of uses

108. Lots of data, lots of people, lots of compute, lots of uses, lots and lots and lots and lots...

109. ➌ Process

110. Concept Requirements Development Product

111. takes too lon g Concept Requirements Development Product

112. takes too lon g Concept Requirements Development Product the se change

113. Plan Development REVIEW Concept What we need Get ready

115. Project owner is key

116. Weekly releases

117. More flexible

119. Better transparency

120. Less software

121. Sequencing informatics

123. GREENISGOOD.CO.UK