Description
CLC Genomics Workbench is a powerful software solution and a complete set of tools in the field Genomics, patterning, epigenomics, and metagenomics that help scientists and professionals to meet the challenges of genetic information analysis by using ultra-advanced technology, unique features, and widely used algorithms. This software allows you to fully analyze your NGS data with a user-friendly bioinformatics interface. You can also find relationships between symbiotic microorganisms with the help of this software and easily analyze complex metagenomic data.
CLC Genomics Workbench software fully supports NGS platforms such as Illumina, IonTorrent, PacBio and GeneReader and provides the workflow of cell RNAs to perform various analyzes on gene levels. This software also allows you to make important discoveries in research on human diseases and perform your analyzes in the best possible way.
Features and features of CLC Genomics Workbench software:
- Analysis of genetic data
- Using advanced technology and algorithms
- NGS data analysis
- Professional and attractive user interface
- Conducting research and data analysis in the fields of biological sciences
required system
v23:
This page lists the requirements of all CLC software products, plugins and special use cases. Requirements for Biomedical Genomics Analysis plugin, CLC Single Cell Analysis Module, CLC Microbial Genomics Module vary and are listed separately below, as are special use case requirements for 3D Molecule Viewer, read mapping and de novo assembly. Please note that analyzing data generated with QIAseq panels using the Biomedical Genomics Analysis requires 16 GB RAM, 24 GB recommended.
QIAGEN CLC Genomics Workbench
* Standard requirements without the use of functionality in plugins
- Windows 10, Windows 11, Windows Server 2012, Windows Server 2016, Windows Server 2019 and Windows Server 2022
- Mac: macOS 11, 12, and 13
- Linux: RHEL 7 and later, SUSE Linux Enterprise Server 12 and later. The software is expected to run without problems on other recent Linux systems, but we do not guarantee this. To use BLAST related functionality, libnsl.so.1 is required.
- 64 bit operating system
- 16 GB RAM recommended (8 GB RAM required)
- 1024 x 768 display required
- 1600 x 1200 display recommended
Memory and CPU settings for mapping reads
For mapping to the human genome (3.2 gigabases), or genomes of a similar size, 16 GB RAM is required. Smaller systems can be used when mapping to small genomes.
Larger amounts of memory can help the overall speed of the analysis when working with large datasets, but little gain is expected above about 32 GB of RAM.
Increasing the number of CPUs can decrease the time a read mapping takes, however, performance gain is expected to be limited above approximately 40 threads.
System requirements for 3D viewers
A graphics card that supports OpenGL 2.0.
Note: 3D rendering is only supported when the CLC Genomics Workbench is installed on the same machine the viewer is opened on. Indirect rendering (such as X11 forwarding through ssh), remote desktop connection/VNC, and running in virtual machines is not supported.
Plugins and Modules
Biomedical Genomics Analysis plugin
The system requirements of Biomedical Genomics Analysis are the same as those for the CLC Genomics Workbench apart from the following:
- 16 GB RAM required
- 24 GB RAM recommended
- Minimum 100 GB free disk space in the tmp directory
- Minimum 90 GB free disk space required in the CLC_References directory of the CLC Workbench if you are not connecting to a CLC Server and using a CLC_References area on that server. The reference data location on a CLC Workbench can be changed from the default location, as described in The Reference Data Manager.
Special requirements for QIAseq analysis
The following use cases have specific system requirements
- UPX 3′ or UPXome analysis on multiple samples sometimes requires more than 24 GB of RAM.
- For full Exome, Multimodal Pan Cancer or TMB analysis, we recommend running on a server (see requirement below). The number of cores significantly affects the runtime.
CLC LightSpeed Module
The system requirements of the CLC LightSpeed Module are the same as those for the CLC Genomics Workbench, apart from the following:
- All LightSpeed analyzes require 32 GB RAM.
- A CPU that supports AVX2 or NEON instruction sets is required.
CLC Single Cell Analysis Module
The system requirements of CLC Single Cell Analysis Module are the same as those for the CLC Genomics Workbench, apart from the following:
Most tools can be run on modest hardware such as a laptop, especially when the number of cells is under 50,000.
Special requirements for mapping reads
For mapping reads to references, we recommend using a CLC Genomics Server (see requirements below). Although a laptop with 16 GB of RAM can be used, the large number of reads are likely to lead to long runtimes when there are more than 1000 cells.
Long Read Support (beta) plugin
The system requirements of the Long Read Support (beta) plugin are the same as those for the CLC Genomics Workbench, apart from the following:
- Tools require a CPU that supports the AVX2 or NEON instruction sets.
CLC Microbial Genomics Module
The system requirements of CLC Microbial Genomics Module are the same as those for CLC Genomics Workbench, apart from the following:
- Tools using DIAMOND and ShortBRED require a CPU that supports the AVX2 or NEON instruction sets.
Special requirements for the MLST Scheme tools
The system requirements for the MLST Scheme tools depend on the size of the MLST schemes (both the number of alleles and the number of sequence types). A laptop with 16GB of memory is normally sufficient for 7-gene schemes or cgMLST schemes based on a moderate number of isolates. Typing or constructing larger schemes may require more memory, and in general, we recommend at least 64GB of memory when working with cg/wgMLST schemes based on more than 100 isolates.
Special requirements for the Taxonomic Profiler
he quality performance of the Taxonomic Profiler depends on the reference database used – the more complete a database, the better the quality. However, running the Taxonomic Profiler with a given database size will require at least the same amount of memory. For example, running with a 14 GB database requires at least 16 GB of RAM, and running with a 56 GB database requires a minimum of 64 GB of RAM. When creating your reference database with the Download Microbial Reference Database tool, you will get a warning about the memory requirements needed for running the Taxonomic Profiler with this database.
Special requirements for de novo assembled metagenome
It is recommended to have at least 16 GB of RAM when running the De Novo Assemble Metagenome.
Other requirements
The PCoA 3D viewer requirements are the same as the 3D viewer requirements described in the CLC Genomics Workbench section above.
The Sunburst viewer makes use of JavaFX and may not work on older Linux kernels. An updated list of requirements for JavaFX can be found at http://www.oracle.com/technetwork/java/javafx/downloads/supportedconfigurations-1506746.html.
v22:
- Windows 7, Windows 8, Windows 10, Windows 11, Windows Server 2012, Windows Server 2016 and Windows Server 2019
- Mac: macOS 10.15, macOS 11 through macOS 12.01. Macs with the Apple M1 chip are supported. The software is expected to run without problems on more recent macOS releases than those listed, but we do not guarantee this.
- Linux: RHEL 7 and later, SUSE Linux Enterprise Server 12 and later. The software is expected to run without problems on other recent Linux systems, but we do not guarantee this. To use BLAST related functionality, libnsl.so.1 is required.
- 64 bit operating system
- 2 GB RAM required
- 4 GB RAM recommended
- 1024 x 768 display required
- 1600 x 1200 display recommended
- Intel or AMD CPU required
Special requirements for the 3D Molecule Viewer
- Required: A graphics card capable of supporting OpenGL 2.0.
- Required: Updated graphics drivers. Please make sure the latest driver for the graphics card is installed.
- Recommended: A discrete graphics card from either Nvidia or AMD/ATI. Modern integrated graphics cards (such as the Intel HD Graphics series) may also be used, but these are usually slower than the discrete cards.
- Note: Indirect rendering (such as x11 forwarding through ssh), remote desktop connection/VNC, and running in virtual machines is not supported.
Special requirements for read mapping
The numbers below give minimum and recommended memory for systems running mapping and analysis tasks. The suggested requirements are based on the genome size.
- E. coli K12 (4.6 megabases)
- Minimum: 2 GB RAM
- Recommended: 4 GB RAM
- C. elegans (100 megabases) and Arabidopsis thaliana (120 megabases)
- Minimum: 2 GB RAM
- Recommended: 4 GB RAM
- Zebrafish (1.5 gigabases)
- Minimum: 2 GB RAM
- Recommended: 4 GB RAM
- Human (3.2 gigabases) and Mouse (2.7 gigabases)
- Minimum: 6 GB RAM
- Recommended: 8 GB RAM
Special requirements for de novo assembly
De novo assembly may need more memory than stated above – this depends both on the number of reads, error profile and the complexity and size of the genome.
Pictures
Installation guide
It is given in the Readme file in the Crack folder.
! This software is published in three editions: CLC Main Workbench, CLC Genomics Workbench, and CLC Genomics Workbench Premium, which is the most complete edition and includes all add-ons.
download link
price in rials | Price in Euro
price in rials | Price in Euro
price in rials | Price in Euro
Any questions or problems only through the department Contact us bring up
Size
366 MB
Be the first to comment