LabLynx Wiki

LabLynx Wiki

Genomes on the Cloud (GotCloud) Introduction

To handle the increasing volume of next generation sequencing and genotyping data, we created and developed software pipelines called Genomes on the Cloud (GotCloud).

GotCloud contains Mapping & Variant Calling Pipelines.

Key Features:

  • Connects sequence analysis tools together in automated pipeline
    • Alignment, quality control, variant calling
  • Robust against unexpected system failure using GNU make
    • easy restart after failure
  • Massively parallel, can run hundreds of jobs
    • Splits large jobs into many pieces
    • Simplifies running on clusters
  • Scalable to tens of thousands of samples
  • Easy to use - Automates series of configurable steps
    • user doesn't have to understand/configure/know the many tools required to create high quality results
  • Available on Amazon Web Services (AWS) Elastic Compute Cloud (EC2)
  • Run on local machines/clusters

GotCloud incorporates the alignment and variant calling pipelines that we have been using at UM into one easy to use, publicly available tool.

LIMSpec Wiki

LIMSpec Wiki

Genomes on the Cloud (GotCloud) Introduction

To handle the increasing volume of next generation sequencing and genotyping data, we created and developed software pipelines called Genomes on the Cloud (GotCloud).

GotCloud contains Mapping & Variant Calling Pipelines.

Key Features:

  • Connects sequence analysis tools together in automated pipeline
    • Alignment, quality control, variant calling
  • Robust against unexpected system failure using GNU make
    • easy restart after failure
  • Massively parallel, can run hundreds of jobs
    • Splits large jobs into many pieces
    • Simplifies running on clusters
  • Scalable to tens of thousands of samples
  • Easy to use - Automates series of configurable steps
    • user doesn't have to understand/configure/know the many tools required to create high quality results
  • Available on Amazon Web Services (AWS) Elastic Compute Cloud (EC2)
  • Run on local machines/clusters

GotCloud incorporates the alignment and variant calling pipelines that we have been using at UM into one easy to use, publicly available tool.

Bioinformatics Wiki

Bioinformatics Wiki

Genomes on the Cloud (GotCloud) Introduction

To handle the increasing volume of next generation sequencing and genotyping data, we created and developed software pipelines called Genomes on the Cloud (GotCloud).

GotCloud contains Mapping & Variant Calling Pipelines.

Key Features:

  • Connects sequence analysis tools together in automated pipeline
    • Alignment, quality control, variant calling
  • Robust against unexpected system failure using GNU make
    • easy restart after failure
  • Massively parallel, can run hundreds of jobs
    • Splits large jobs into many pieces
    • Simplifies running on clusters
  • Scalable to tens of thousands of samples
  • Easy to use - Automates series of configurable steps
    • user doesn't have to understand/configure/know the many tools required to create high quality results
  • Available on Amazon Web Services (AWS) Elastic Compute Cloud (EC2)
  • Run on local machines/clusters

GotCloud incorporates the alignment and variant calling pipelines that we have been using at UM into one easy to use, publicly available tool.

IHE Wiki

IHE Wiki

Genomes on the Cloud (GotCloud) Introduction

To handle the increasing volume of next generation sequencing and genotyping data, we created and developed software pipelines called Genomes on the Cloud (GotCloud).

GotCloud contains Mapping & Variant Calling Pipelines.

Key Features:

  • Connects sequence analysis tools together in automated pipeline
    • Alignment, quality control, variant calling
  • Robust against unexpected system failure using GNU make
    • easy restart after failure
  • Massively parallel, can run hundreds of jobs
    • Splits large jobs into many pieces
    • Simplifies running on clusters
  • Scalable to tens of thousands of samples
  • Easy to use - Automates series of configurable steps
    • user doesn't have to understand/configure/know the many tools required to create high quality results
  • Available on Amazon Web Services (AWS) Elastic Compute Cloud (EC2)
  • Run on local machines/clusters

GotCloud incorporates the alignment and variant calling pipelines that we have been using at UM into one easy to use, publicly available tool.

HL7 Wiki

HL7 Wiki

Genomes on the Cloud (GotCloud) Introduction

To handle the increasing volume of next generation sequencing and genotyping data, we created and developed software pipelines called Genomes on the Cloud (GotCloud).

GotCloud contains Mapping & Variant Calling Pipelines.

Key Features:

  • Connects sequence analysis tools together in automated pipeline
    • Alignment, quality control, variant calling
  • Robust against unexpected system failure using GNU make
    • easy restart after failure
  • Massively parallel, can run hundreds of jobs
    • Splits large jobs into many pieces
    • Simplifies running on clusters
  • Scalable to tens of thousands of samples
  • Easy to use - Automates series of configurable steps
    • user doesn't have to understand/configure/know the many tools required to create high quality results
  • Available on Amazon Web Services (AWS) Elastic Compute Cloud (EC2)
  • Run on local machines/clusters

GotCloud incorporates the alignment and variant calling pipelines that we have been using at UM into one easy to use, publicly available tool.

Clinfowiki

Clinfowiki

Genomes on the Cloud (GotCloud) Introduction

To handle the increasing volume of next generation sequencing and genotyping data, we created and developed software pipelines called Genomes on the Cloud (GotCloud).

GotCloud contains Mapping & Variant Calling Pipelines.

Key Features:

  • Connects sequence analysis tools together in automated pipeline
    • Alignment, quality control, variant calling
  • Robust against unexpected system failure using GNU make
    • easy restart after failure
  • Massively parallel, can run hundreds of jobs
    • Splits large jobs into many pieces
    • Simplifies running on clusters
  • Scalable to tens of thousands of samples
  • Easy to use - Automates series of configurable steps
    • user doesn't have to understand/configure/know the many tools required to create high quality results
  • Available on Amazon Web Services (AWS) Elastic Compute Cloud (EC2)
  • Run on local machines/clusters

GotCloud incorporates the alignment and variant calling pipelines that we have been using at UM into one easy to use, publicly available tool.

OpenWetWare

OpenWetWare

Genomes on the Cloud (GotCloud) Introduction

To handle the increasing volume of next generation sequencing and genotyping data, we created and developed software pipelines called Genomes on the Cloud (GotCloud).

GotCloud contains Mapping & Variant Calling Pipelines.

Key Features:

  • Connects sequence analysis tools together in automated pipeline
    • Alignment, quality control, variant calling
  • Robust against unexpected system failure using GNU make
    • easy restart after failure
  • Massively parallel, can run hundreds of jobs
    • Splits large jobs into many pieces
    • Simplifies running on clusters
  • Scalable to tens of thousands of samples
  • Easy to use - Automates series of configurable steps
    • user doesn't have to understand/configure/know the many tools required to create high quality results
  • Available on Amazon Web Services (AWS) Elastic Compute Cloud (EC2)
  • Run on local machines/clusters

GotCloud incorporates the alignment and variant calling pipelines that we have been using at UM into one easy to use, publicly available tool.

Statistical Genetics Wiki

Statistical Genetics Wiki

Genomes on the Cloud (GotCloud) Introduction

To handle the increasing volume of next generation sequencing and genotyping data, we created and developed software pipelines called Genomes on the Cloud (GotCloud).

GotCloud contains Mapping & Variant Calling Pipelines.

Key Features:

  • Connects sequence analysis tools together in automated pipeline
    • Alignment, quality control, variant calling
  • Robust against unexpected system failure using GNU make
    • easy restart after failure
  • Massively parallel, can run hundreds of jobs
    • Splits large jobs into many pieces
    • Simplifies running on clusters
  • Scalable to tens of thousands of samples
  • Easy to use - Automates series of configurable steps
    • user doesn't have to understand/configure/know the many tools required to create high quality results
  • Available on Amazon Web Services (AWS) Elastic Compute Cloud (EC2)
  • Run on local machines/clusters

GotCloud incorporates the alignment and variant calling pipelines that we have been using at UM into one easy to use, publicly available tool.

Cloud-Standards.org

Cloud-Standards.org

Genomes on the Cloud (GotCloud) Introduction

To handle the increasing volume of next generation sequencing and genotyping data, we created and developed software pipelines called Genomes on the Cloud (GotCloud).

GotCloud contains Mapping & Variant Calling Pipelines.

Key Features:

  • Connects sequence analysis tools together in automated pipeline
    • Alignment, quality control, variant calling
  • Robust against unexpected system failure using GNU make
    • easy restart after failure
  • Massively parallel, can run hundreds of jobs
    • Splits large jobs into many pieces
    • Simplifies running on clusters
  • Scalable to tens of thousands of samples
  • Easy to use - Automates series of configurable steps
    • user doesn't have to understand/configure/know the many tools required to create high quality results
  • Available on Amazon Web Services (AWS) Elastic Compute Cloud (EC2)
  • Run on local machines/clusters

GotCloud incorporates the alignment and variant calling pipelines that we have been using at UM into one easy to use, publicly available tool.

WikiBooks

WikiBooks

Genomes on the Cloud (GotCloud) Introduction

To handle the increasing volume of next generation sequencing and genotyping data, we created and developed software pipelines called Genomes on the Cloud (GotCloud).

GotCloud contains Mapping & Variant Calling Pipelines.

Key Features:

  • Connects sequence analysis tools together in automated pipeline
    • Alignment, quality control, variant calling
  • Robust against unexpected system failure using GNU make
    • easy restart after failure
  • Massively parallel, can run hundreds of jobs
    • Splits large jobs into many pieces
    • Simplifies running on clusters
  • Scalable to tens of thousands of samples
  • Easy to use - Automates series of configurable steps
    • user doesn't have to understand/configure/know the many tools required to create high quality results
  • Available on Amazon Web Services (AWS) Elastic Compute Cloud (EC2)
  • Run on local machines/clusters

GotCloud incorporates the alignment and variant calling pipelines that we have been using at UM into one easy to use, publicly available tool.

LIMSwiki

LIMSwiki

Genomes on the Cloud (GotCloud) Introduction

To handle the increasing volume of next generation sequencing and genotyping data, we created and developed software pipelines called Genomes on the Cloud (GotCloud).

GotCloud contains Mapping & Variant Calling Pipelines.

Key Features:

  • Connects sequence analysis tools together in automated pipeline
    • Alignment, quality control, variant calling
  • Robust against unexpected system failure using GNU make
    • easy restart after failure
  • Massively parallel, can run hundreds of jobs
    • Splits large jobs into many pieces
    • Simplifies running on clusters
  • Scalable to tens of thousands of samples
  • Easy to use - Automates series of configurable steps
    • user doesn't have to understand/configure/know the many tools required to create high quality results
  • Available on Amazon Web Services (AWS) Elastic Compute Cloud (EC2)
  • Run on local machines/clusters

GotCloud incorporates the alignment and variant calling pipelines that we have been using at UM into one easy to use, publicly available tool.

Wikiversity

Wikiversity

Genomes on the Cloud (GotCloud) Introduction

To handle the increasing volume of next generation sequencing and genotyping data, we created and developed software pipelines called Genomes on the Cloud (GotCloud).

GotCloud contains Mapping & Variant Calling Pipelines.

Key Features:

  • Connects sequence analysis tools together in automated pipeline
    • Alignment, quality control, variant calling
  • Robust against unexpected system failure using GNU make
    • easy restart after failure
  • Massively parallel, can run hundreds of jobs
    • Splits large jobs into many pieces
    • Simplifies running on clusters
  • Scalable to tens of thousands of samples
  • Easy to use - Automates series of configurable steps
    • user doesn't have to understand/configure/know the many tools required to create high quality results
  • Available on Amazon Web Services (AWS) Elastic Compute Cloud (EC2)
  • Run on local machines/clusters

GotCloud incorporates the alignment and variant calling pipelines that we have been using at UM into one easy to use, publicly available tool.

Wikipedia

Wikipedia

Genomes on the Cloud (GotCloud) Introduction

To handle the increasing volume of next generation sequencing and genotyping data, we created and developed software pipelines called Genomes on the Cloud (GotCloud).

GotCloud contains Mapping & Variant Calling Pipelines.

Key Features:

  • Connects sequence analysis tools together in automated pipeline
    • Alignment, quality control, variant calling
  • Robust against unexpected system failure using GNU make
    • easy restart after failure
  • Massively parallel, can run hundreds of jobs
    • Splits large jobs into many pieces
    • Simplifies running on clusters
  • Scalable to tens of thousands of samples
  • Easy to use - Automates series of configurable steps
    • user doesn't have to understand/configure/know the many tools required to create high quality results
  • Available on Amazon Web Services (AWS) Elastic Compute Cloud (EC2)
  • Run on local machines/clusters

GotCloud incorporates the alignment and variant calling pipelines that we have been using at UM into one easy to use, publicly available tool.