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  • RNA-Seq Data Analysis Service

    RNA-Seq Data Analysis by ecSeq GmbH
    RNA-Seq Analysis Understanding the transcriptome and its plasticity

    Explore our solutions for detailed analyses of the transcriptome and its variability.

    Available Analyses
    • De-novo transcriptome assembly
    • Discovery of transcripts and isoforms
    • Differential expression analysis of genes, isoforms and exons
    • Analysis of fusion genes, circularized RNAs and trans-splicing events
    • Detection of long non-coding RNAs

    • Expert Solutions
    • Rapid Results
    • Flexible Bioinformatics
    • For Life Scientists
    • Explore your Results
    • Best-in-class Methods
    • Reproducible Research
    • Trustable Results
    • Excellent Support

    Visit our website for more detailed information, references and our expert network!

    Or directly download our flyer

    ecSeq Bioinformatics is Europe’s leading provider of hands-on bioinformatics workshops and professional data analysis in the field of Next-Generation Sequencing (NGS).

Latest Articles


  • seqadmin
    A Brief Overview and Common Challenges in Single-cell Sequencing Analysis
    by seqadmin

    ​​​​​​The introduction of single-cell sequencing has advanced the ability to study cell-to-cell heterogeneity. Its use has improved our understanding of somatic mutations1, cell lineages2, cellular diversity and regulation3, and development in multicellular organisms4. Single-cell sequencing encompasses hundreds of techniques with different approaches to studying the genomes, transcriptomes, epigenomes, and other omics of individual cells. The analysis of single-cell sequencing data i...

    01-24-2023, 01:19 PM
  • seqadmin
    Introduction to Single-Cell Sequencing
    by seqadmin
    Single-cell sequencing is a technique used to investigate the genome, transcriptome, epigenome, and other omics of individual cells using high-throughput sequencing. This technology has provided many scientific breakthroughs and continues to be applied across many fields, including microbiology, oncology, immunology, neurobiology, precision medicine, and stem cell research.

    The advancement of single-cell sequencing began in 2009 when Tang et al. investigated the single-cell transcriptomes
    01-09-2023, 03:10 PM