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      • Automated Virtual Cloning
      • Clone Sequence Verification
      • ELN Integration
      • Gel Electrophoresis Simulation
      • Gene Homology Alignment
      • Multiple Sequence Alignment
      • Pairwise Sequence Alignment
      • PCR Site-Directed Mutagenesis
      • PCR Primer Design
      • Phylogenetic Analysis
      • Plasmid Maps
      • Sanger Sequence Assembly
      • Sequence Editing and Annotation
    • Protein Analysis
      • Antibody Modeling
      • Antibody Phage Display
      • Epitope Prediction
      • Protein Docking
      • Protein Sequence Analysis
      • Protein Stability Prediction
      • Protein Structural Alignment
      • Protein Structure Analysis
      • Protein Structure Prediction
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      • Clinical Research
      • De Novo Genome Assembly
      • Mauve Genome Alignment
      • Metagenomic Assembly
      • Variant Analysis
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    • Transcriptomics
      • ChIP-Seq Data Analysis
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TIPS FOR SUCCESSFUL DE NOVO TRANSCRIPTOME SEQUENCE ASSEMBLY
USING RNA-SEQ DATA

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Home > Product Literature > Conclusions: De Novo Transcriptome Analysis eBook | DNASTAR

  • Introduction
  • Chapter 1

    The De Novo Transcriptome Analysis Workflow

  • Chapter 2

    Using Lasergene Genomics to Streamline the Workflow

  • Chapter 3

    Third-Party Comparison: Lasergene Genomics vs. CLC Genomic Workbench

  • Conclusion

Conclusion

Transcriptome analysis is crucial to connecting the information about a genome with its functional protein expression, but it’s often a cumbersome process with vast amounts of data requiring tedious project setup and time-consuming, complicated data manipulation.

Lasergene Genomics transcriptome analysis software removes these challenges through an automated pipeline that does the setup, assembly, and annotation work for you, so that you can get straight to comprehensive transcriptome analysis, including discovering novel transcripts, identifying differentially expressed genes, and evaluating gene ontology.

DNASTAR’s automated pipeline includes patented algorithms to handle virtually any size data set, access to diverse genome template packages, and integration with proprietary databases, to thoroughly and accurately prepare your transcriptome data. If you want to simplify transcriptome data analysis and have your assemblies work every time, you may want to consider Lasergene Genomics.

To download this entire ebook as a PDF, click here.

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