CLC Main Workbench
CLC Main Workbench provides integrated analysis for detecting and annotating single nucleotide polymorphisms (SNPs), small insertions and deletions (indels), and genomic rearrangements from high-throughput cDNA and other sequencing data using de novo and reference-based assembly.
Key Features:
- High-Throughput Transcriptome Sequencing: Processes high-throughput cDNA sequencing data (e.g., 120 Mb from the HCC1954 breast cancer cell line) to analyze transcriptomes and detect events such as gene fusions and truncations.
- Genomic Rearrangement Detection: Identifies complex genomic alterations and rearrangements, including events involving oncogenes such as MRE11 and NSD1.
- Annotation Capabilities: Annotates detected genetic variations and links them to known biological functions and pathways.
- Application in Cancer Research: Applied to identify novel genomic alterations in breast cancer cell lines to support studies of tumorigenesis.
Scientific Applications:
- Cancer Genomics: Detection and annotation of SNPs and indels relevant to cancer diagnosis, characterization, and treatment research.
- Genomic Rearrangement Studies: Investigation of genomic rearrangements in disease contexts to provide insights into gene function and disease mechanisms.
Methodology:
Performs de novo assembly and reference-based assembly of sequencing data and analyzes high-throughput cDNA/transcriptome sequences to detect and annotate SNPs, indels, and genomic rearrangements.
Topics
Collections
Details
- Maturity:
- Mature
- Tool Type:
- workflow
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java, C++
- Added:
- 1/13/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Zhao Q, Caballero OL, Levy S, Stevenson BJ, Iseli C, de Souza SJ, Galante PA, Busam D, Leversha MA, Chadalavada K, Rogers Y, Venter JC, Simpson AJG, Strausberg RL. Transcriptome-guided characterization of genomic rearrangements in a breast cancer cell line. Proceedings of the National Academy of Sciences. 2009;106(6):1886-1891. doi:10.1073/pnas.0812945106. PMID:19181860. PMCID:PMC2633215.