CLC Genomics Server is an advanced High-Throughput Sequencing focused three-tier solution offering secure, powerful, and flexible bioinformatics computing on a server-architecture located centrally in your organization.
Details
Centralized Bioinformatics Analyses
CLC Genomics Server is an advanced High-Throughput Sequencing focused three-tier solution offering secure, powerful, and flexible bioinformatics computing on a server-architecture located centrally in your organization.
Available bioinformatics analyses
Read mapping of Sanger and High-Throughput Sequencing data
De novo assembly of Sanger and High-Throughput Sequencing data
SNP detection on whole genomes of any size
DIP detection on whole genomes of any size
ChIP-seq analysis
RNA-seq analysis
Small RNA analysis
Trim Sequences
Main reasons to invest in CLC Genomics Server
Compute Resource Management:
Central execution platform with flexible queuing system, designed for your bioinformatics analysis and services.
Flexible:
Based on a 3 tier system architecture to offer maximum security and intractability within fields of biology and bioinformatic computing.
Premium System-Clients:
Offers maximum client-flexibility with support for our user-friendly and award winning CLC Genomics Workbench as a premium system-client.
Customizable:
Highly customizable on both client-side and server-side using our SDK or various Command Line Tools.
Scalable:
Highly scalable with support for CLC Server Nodes.
Advanced Data I/O:
Offers an advanced and customizable data-import/export framework, that also can be used for data conversion.
Shared Data:
Store your data on central storage. This can be either a File System, the CLC Bioinformatics Database or on a custom designed database scheme.
Design custom workflows to support your science
With the Command Line Tools of the CLC Genomics Server, it is possible to define your own workflows. This is done in terms of scripts that interact with the CLC Command Line Tools. With the solution a sample script workflow is given, that imports NGS reads, maps the reads to a reference, followed by SNP and DIP detection:
Software Link: CLC Genomics Server
Details
Centralized Bioinformatics Analyses
CLC Genomics Server is an advanced High-Throughput Sequencing focused three-tier solution offering secure, powerful, and flexible bioinformatics computing on a server-architecture located centrally in your organization.
Available bioinformatics analyses
Read mapping of Sanger and High-Throughput Sequencing data
De novo assembly of Sanger and High-Throughput Sequencing data
SNP detection on whole genomes of any size
DIP detection on whole genomes of any size
ChIP-seq analysis
RNA-seq analysis
Small RNA analysis
Trim Sequences
Main reasons to invest in CLC Genomics Server
Compute Resource Management:
Central execution platform with flexible queuing system, designed for your bioinformatics analysis and services.
Flexible:
Based on a 3 tier system architecture to offer maximum security and intractability within fields of biology and bioinformatic computing.
Premium System-Clients:
Offers maximum client-flexibility with support for our user-friendly and award winning CLC Genomics Workbench as a premium system-client.
Customizable:
Highly customizable on both client-side and server-side using our SDK or various Command Line Tools.
Scalable:
Highly scalable with support for CLC Server Nodes.
Advanced Data I/O:
Offers an advanced and customizable data-import/export framework, that also can be used for data conversion.
Shared Data:
Store your data on central storage. This can be either a File System, the CLC Bioinformatics Database or on a custom designed database scheme.
Design custom workflows to support your science
With the Command Line Tools of the CLC Genomics Server, it is possible to define your own workflows. This is done in terms of scripts that interact with the CLC Command Line Tools. With the solution a sample script workflow is given, that imports NGS reads, maps the reads to a reference, followed by SNP and DIP detection:
Software Link: CLC Genomics Server
