SlideShare uma empresa Scribd logo
1 de 29
What is aView? ,[object Object],[object Object],[object Object]
What CB Processes are Controlled? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Mother Tube Sort Samples to Purify or Discard Samples in Screening Set DOS Library Production All Compound Samples DOS Intermediate QCs Sample QCs CBIP Collector SDMS LC-MS PP aView Directory Structure Raw LC-MS Data META Data Annotations DOS Library Production Stats Sample Reg.  Dashboard RAW Data
What are the Annotations? Three Components: Component Description Use “ Purity” Semi-quantitative estimate of actual purity, based on peak area% Can be used to compare samples or drive logic of CBIP Tools  Summary Assessment ,[object Object],[object Object],[object Object],Drives logic of CBIP tools (Comments) Allows capture of relevant details regarding summary assessment Allows review of chemist’s key decision making considerations behind summary assessments
What is “Purity” in aView? ,[object Object]
Was the Target Mass (Compound) Found? ,[object Object],[object Object]
Summary Assessment Matrix ,[object Object],[object Object],LC-MS Insufficient Re-run/Re-integrate Re-run (Acidic) Re-run (Basic) Re-run (Solvent Front) Re-integrate DOS Library Production: Complete Incomplete (Re-subject) Compound Selection: Accept Purify (<40%)  Reject Incorrect Structure Analytical Sample Terminal Non-Terminal
aView & DOS Library Production ,[object Object],[object Object],[object Object],[object Object],[object Object]
aView & DOS Intermediate QC Analytical Method OK? Analytical Processing  OK? Complete Incomplete Re-run LC-MS Insufficient Incorrect Structure Re-integrate
aView & Compound Registration Inform Compound Registration Dashboard
aView & Sample QC ,[object Object],[object Object],[object Object],[object Object],[object Object]
“ Purity” Role in Annotation –  Business Rules for Sample QC Add “Other” Considerations Classify based on Purity > 70% < 40% 40%< Purity < 70% Accept Purify Reject Analytical Method OK? Analytical Processing  OK? Re-run LC-MS Insufficient Incorrect Structure Re-integrate No No Yes Yes
Classify based on Purity > 70% < 40% 40%< Purity < 70% Accept Purify Reject Comment required Summary Assessment  Requires Chemist’s Knowledge Analytical Method OK? Analytical Processing  OK? Re-run LC-MS Insufficient Incorrect Structure Re-integrate No No Yes Yes
aView & DOS Library Production Statistics Inform Library Production Summary
aView & Compound Selection
aView Mechanics ,[object Object],[object Object],[object Object],[object Object],[object Object],CBIP Collector SDMS LC-MS PP aView Directory Structure Raw LC-MS Data META Data
LC-MS Data Collection Process CBIP SDMS Network File  Server MassLynx Input Files Raw Data Local PC Pipleline Pilot MassLynx Local PC MassLynx Local PC Composite Purity Report  (text) aView Individual “ Print”  Reports (graphic) SDMS File Capture Analytical Chemist’s Input Params QC Plate Map SDMS Print Capture ,[object Object],[object Object],[object Object],[object Object],Annotation & Definitive Injection SDMS SDK Acquire Data Process Data Review Data ,[object Object],[object Object],[object Object],MassLynx Input Files CBIP Collector
MassLynx Folder Structure & File Names masslynx IB.pro ampleDB LIB_PLT_RUN#_RUN.txt LIB_PLT_RUN#_INT#_STD.txt LIB_PLT_RUN#_INT#_INT.txt *.rpt *.spl ata LIB_PLT_WELL_VIRTID_RUN#*.olp Sample Run Lists Standard Processing Lists Sample Processing Lists OpenLynx Purity Reports Sample Lists (converted from text lists above) Raw data Folders MassLynx “Project” corresponding to a given DOS Librar, LIB Folder on local instrument’s computer OpenLynx Processing parameters files
Create MassLynx sample List in Pipeline Pilot ,[object Object],[object Object],[object Object],[object Object],[object Object]
SDMS Picks Up Data from Instruments –  Archive Agent Template & MetaData
CBIP Collector Picks Up MetaData from SDMS
CBIP Collector – Status States Inform Users ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
aView Reliability ,[object Object],[object Object],[object Object],[object Object],CBIP Collector SDMS LC-MS PP aView Directory Structure Raw LC-MS Data META Data
SDMS System Diagram
File Queue Monitoring- FileBoss ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Storage Capacity Monitoring - LetUKnow
Error Log Monitoring - LogMeister
aView Performance ,[object Object],CBIP Collector SDMS LC-MS PP aView Directory Structure Raw LC-MS Data META Data
Adherence to Pickup Schedule –  1 Full Cycle (24 hr.) from AA Log Scheduled Pickup Time Actual Pickup Time Growing Delay Catch Up On schedule (slope = 1)

Mais conteúdo relacionado

Destaque

Waters: Reviewing Audit Trail Information in Empower Chromatography Data Soft...
Waters: Reviewing Audit Trail Information in Empower Chromatography Data Soft...Waters: Reviewing Audit Trail Information in Empower Chromatography Data Soft...
Waters: Reviewing Audit Trail Information in Empower Chromatography Data Soft...Waters Corporation
 
Cloud computing in biomedicine intel talk
Cloud computing in biomedicine intel talkCloud computing in biomedicine intel talk
Cloud computing in biomedicine intel talkKetan Paranjape
 
Database Management system
Database Management systemDatabase Management system
Database Management systemVijay Thorat
 
Database management system presentation
Database management system presentationDatabase management system presentation
Database management system presentationsameerraaj
 

Destaque (7)

Waters: Reviewing Audit Trail Information in Empower Chromatography Data Soft...
Waters: Reviewing Audit Trail Information in Empower Chromatography Data Soft...Waters: Reviewing Audit Trail Information in Empower Chromatography Data Soft...
Waters: Reviewing Audit Trail Information in Empower Chromatography Data Soft...
 
Cloud computing in biomedicine intel talk
Cloud computing in biomedicine intel talkCloud computing in biomedicine intel talk
Cloud computing in biomedicine intel talk
 
Database Management system
Database Management systemDatabase Management system
Database Management system
 
Scientific management
Scientific managementScientific management
Scientific management
 
Scientific management
Scientific managementScientific management
Scientific management
 
Dbms slides
Dbms slidesDbms slides
Dbms slides
 
Database management system presentation
Database management system presentationDatabase management system presentation
Database management system presentation
 

Semelhante a Lab Informatics - NuGenesis SDMS interfaced with Compound QC Web App for Chemical Biology Library Production - David J. Howe

Reports & Analysis_Katalyst HLS
Reports & Analysis_Katalyst HLSReports & Analysis_Katalyst HLS
Reports & Analysis_Katalyst HLSKatalyst HLS
 
How to build ADaM BDS dataset from mock up table
How to build ADaM BDS dataset from mock up tableHow to build ADaM BDS dataset from mock up table
How to build ADaM BDS dataset from mock up tableKevin Lee
 
Mainframe Technology Overview
Mainframe Technology OverviewMainframe Technology Overview
Mainframe Technology OverviewHaim Ben Zagmi
 
Integrative information management for systems biology
Integrative information management for systems biologyIntegrative information management for systems biology
Integrative information management for systems biologyNeil Swainston
 
Microservices for Systematic Profiling and Monitoring of the Refactoring
Microservices for Systematic Profiling and Monitoring of the RefactoringMicroservices for Systematic Profiling and Monitoring of the Refactoring
Microservices for Systematic Profiling and Monitoring of the RefactoringAlexander Mazurov
 
Automation Framework 042009 V2
Automation Framework   042009  V2Automation Framework   042009  V2
Automation Framework 042009 V2Devukjs
 
Labmatrix
LabmatrixLabmatrix
Labmatrixjwppz
 
January 2016 Flink Community Update & Roadmap 2016
January 2016 Flink Community Update & Roadmap 2016January 2016 Flink Community Update & Roadmap 2016
January 2016 Flink Community Update & Roadmap 2016Robert Metzger
 
Databus - LinkedIn's Change Data Capture Pipeline
Databus - LinkedIn's Change Data Capture PipelineDatabus - LinkedIn's Change Data Capture Pipeline
Databus - LinkedIn's Change Data Capture PipelineSunil Nagaraj
 
Pipelining Chem Axon: US UGM 2008
Pipelining Chem Axon: US UGM 2008Pipelining Chem Axon: US UGM 2008
Pipelining Chem Axon: US UGM 2008ChemAxon
 
MDL UGM April 2007
MDL UGM April 2007MDL UGM April 2007
MDL UGM April 2007Chris Waller
 
Sql Server Performance Tuning
Sql Server Performance TuningSql Server Performance Tuning
Sql Server Performance TuningBala Subra
 
Maximizing SAP ABAP Performance
Maximizing SAP ABAP PerformanceMaximizing SAP ABAP Performance
Maximizing SAP ABAP PerformancePeterHBrown
 
B2 2005 introduction_load_testing_blackboard_primer_draft
B2 2005 introduction_load_testing_blackboard_primer_draftB2 2005 introduction_load_testing_blackboard_primer_draft
B2 2005 introduction_load_testing_blackboard_primer_draftSteve Feldman
 

Semelhante a Lab Informatics - NuGenesis SDMS interfaced with Compound QC Web App for Chemical Biology Library Production - David J. Howe (20)

Chromatography: Part 4 of 4 Pesticide Residue Analysis Webinar Series - Late...
Chromatography: Part 4 of 4 Pesticide Residue Analysis Webinar Series -  Late...Chromatography: Part 4 of 4 Pesticide Residue Analysis Webinar Series -  Late...
Chromatography: Part 4 of 4 Pesticide Residue Analysis Webinar Series - Late...
 
Reports & Analysis_Katalyst HLS
Reports & Analysis_Katalyst HLSReports & Analysis_Katalyst HLS
Reports & Analysis_Katalyst HLS
 
How to build ADaM BDS dataset from mock up table
How to build ADaM BDS dataset from mock up tableHow to build ADaM BDS dataset from mock up table
How to build ADaM BDS dataset from mock up table
 
Mainframe Technology Overview
Mainframe Technology OverviewMainframe Technology Overview
Mainframe Technology Overview
 
Sap bc performance test
Sap bc performance testSap bc performance test
Sap bc performance test
 
Integrative information management for systems biology
Integrative information management for systems biologyIntegrative information management for systems biology
Integrative information management for systems biology
 
Microservices for Systematic Profiling and Monitoring of the Refactoring
Microservices for Systematic Profiling and Monitoring of the RefactoringMicroservices for Systematic Profiling and Monitoring of the Refactoring
Microservices for Systematic Profiling and Monitoring of the Refactoring
 
Test automation process
Test automation processTest automation process
Test automation process
 
Test automation process _ QTP
Test automation process _ QTPTest automation process _ QTP
Test automation process _ QTP
 
Automation Framework 042009 V2
Automation Framework   042009  V2Automation Framework   042009  V2
Automation Framework 042009 V2
 
Labmatrix
LabmatrixLabmatrix
Labmatrix
 
January 2016 Flink Community Update & Roadmap 2016
January 2016 Flink Community Update & Roadmap 2016January 2016 Flink Community Update & Roadmap 2016
January 2016 Flink Community Update & Roadmap 2016
 
Databus - LinkedIn's Change Data Capture Pipeline
Databus - LinkedIn's Change Data Capture PipelineDatabus - LinkedIn's Change Data Capture Pipeline
Databus - LinkedIn's Change Data Capture Pipeline
 
Poster (1)
Poster (1)Poster (1)
Poster (1)
 
Pipelining Chem Axon: US UGM 2008
Pipelining Chem Axon: US UGM 2008Pipelining Chem Axon: US UGM 2008
Pipelining Chem Axon: US UGM 2008
 
Proposal with sdlc
Proposal with sdlcProposal with sdlc
Proposal with sdlc
 
MDL UGM April 2007
MDL UGM April 2007MDL UGM April 2007
MDL UGM April 2007
 
Sql Server Performance Tuning
Sql Server Performance TuningSql Server Performance Tuning
Sql Server Performance Tuning
 
Maximizing SAP ABAP Performance
Maximizing SAP ABAP PerformanceMaximizing SAP ABAP Performance
Maximizing SAP ABAP Performance
 
B2 2005 introduction_load_testing_blackboard_primer_draft
B2 2005 introduction_load_testing_blackboard_primer_draftB2 2005 introduction_load_testing_blackboard_primer_draft
B2 2005 introduction_load_testing_blackboard_primer_draft
 

Último

Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 

Último (20)

Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 

Lab Informatics - NuGenesis SDMS interfaced with Compound QC Web App for Chemical Biology Library Production - David J. Howe

  • 1.
  • 2.
  • 3. Mother Tube Sort Samples to Purify or Discard Samples in Screening Set DOS Library Production All Compound Samples DOS Intermediate QCs Sample QCs CBIP Collector SDMS LC-MS PP aView Directory Structure Raw LC-MS Data META Data Annotations DOS Library Production Stats Sample Reg. Dashboard RAW Data
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. aView & DOS Intermediate QC Analytical Method OK? Analytical Processing OK? Complete Incomplete Re-run LC-MS Insufficient Incorrect Structure Re-integrate
  • 10. aView & Compound Registration Inform Compound Registration Dashboard
  • 11.
  • 12. “ Purity” Role in Annotation – Business Rules for Sample QC Add “Other” Considerations Classify based on Purity > 70% < 40% 40%< Purity < 70% Accept Purify Reject Analytical Method OK? Analytical Processing OK? Re-run LC-MS Insufficient Incorrect Structure Re-integrate No No Yes Yes
  • 13. Classify based on Purity > 70% < 40% 40%< Purity < 70% Accept Purify Reject Comment required Summary Assessment Requires Chemist’s Knowledge Analytical Method OK? Analytical Processing OK? Re-run LC-MS Insufficient Incorrect Structure Re-integrate No No Yes Yes
  • 14. aView & DOS Library Production Statistics Inform Library Production Summary
  • 15. aView & Compound Selection
  • 16.
  • 17.
  • 18. MassLynx Folder Structure & File Names masslynx IB.pro ampleDB LIB_PLT_RUN#_RUN.txt LIB_PLT_RUN#_INT#_STD.txt LIB_PLT_RUN#_INT#_INT.txt *.rpt *.spl ata LIB_PLT_WELL_VIRTID_RUN#*.olp Sample Run Lists Standard Processing Lists Sample Processing Lists OpenLynx Purity Reports Sample Lists (converted from text lists above) Raw data Folders MassLynx “Project” corresponding to a given DOS Librar, LIB Folder on local instrument’s computer OpenLynx Processing parameters files
  • 19.
  • 20. SDMS Picks Up Data from Instruments – Archive Agent Template & MetaData
  • 21. CBIP Collector Picks Up MetaData from SDMS
  • 22.
  • 23.
  • 25.
  • 27. Error Log Monitoring - LogMeister
  • 28.
  • 29. Adherence to Pickup Schedule – 1 Full Cycle (24 hr.) from AA Log Scheduled Pickup Time Actual Pickup Time Growing Delay Catch Up On schedule (slope = 1)