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    Research Services

    Mouse Whole Exome Sequencing

    Overview

    Whole Exome Sequencing (WES) enables researchers to focus on the genes most likely to affect disorder or phenotype by selectively sequencing the coding regions of a genome. Mice, Mus musculus, are important model organisms for human disease research and drug development. Novogene’s mouse whole exome sequencing (mWES) empowers you to identify causative mutations in mice with phenotypes, which may directly lead to the discovery of human disease genes.

    Service Specifications

    Applications

  • Drug development
  • Model research on human health and disease
  • Advantages

  • State-of-the-art NGS technologies: Novogene is a world leader in sequencing capacity using state-of-the-art technology, including Illumina HiSeq and NovaSeq 6000 Systems.
  • Highest data quality: We guarantee a Q30 score ≥ 80%, exceeding Illumina’s official guarantee of ≥ 75%. See our data example.
  • Extraordinary informatics expertise: Novogene uses its cutting-edge bioinformatics pipeline and internationally recognized, best-in-class software to provide customers with highly reliable, publication-ready data.
  •  

    Sample Requirements

    Sample Type
    Amount (Qubit®)
    Purity
    Genomic DNA
    ≥ 400 ng
    OD260/280=1.8-2.0
    Genomic DNA from FFPE
    ≥ 0.8 μg

    Sequencing Parameters and Analysis Contents

    Platform
    Illumina Novaseq 6000
    Read length
    Paired-end 150 bp
    Recommended sequencing depth
    Effective sequencing depth above 50× (6G)
    Standard analysis
  • Data Quality Control
  • Alignment with reference genome, statistics of sequencing depth and coverage
  • SNP and InDel calling, annotation and statistics
  • Somatic SNP/InDel/CNV calling, annotation and statistics (tumor-normal paired samples)
  • Note: For detailed information, please refer to the Service Specifications and contact us for customized requests.

    Project Workflow


    Sequencing error rate distribution


    Note: The x-axis represents position in reads, and the y-axis represents the average error rate of bases of all reads at a position.


    GC content distribution


    Note: The x-axis is position in reads, and the y-axis is percentage of each type of bases (A, T, G, C); different bases are distinguishable by different colors.


    Sequencing depth & coverage distribution


    Note: Average sequencing depth (bar plot) and coverage (dot-line plot) in each chromosome. The x-axis represents chromosome; the left y-axis is the average depth; the right y-axis is the coverage (proportion of covered bases).


    SNP detection

    Sample
    Sample_1
    Sample_2
    Sample_3
    Sample_4
    Sample_5
    CDS
    22849
    22726
    22681
    22679
    22496
    Synonymous SNP
    11491
    11441
    11416
    11,408.00
    11532
    missense SNP
    10697
    10657
    10,628.00
    10639
    10359
    stopgain
    91
    87
    87
    87
    79
    stoploss
    12
    12
    12
    13
    15
    unknown
    564
    535
    544
    536
    520
    intronic
    130230
    128685
    129046
    132820
    182248
    UTR3
    6431
    6217
    6301
    6413
    7612
    UTR5
    3177
    3150
    3163
    3234
    3730
    splicing
    81
    81
    81
    81
    76
    ncRNA exonic
    3328
    3289
    3312
    3343
    4037
    ncRNA intronic
    11066
    10967
    10946
    11426
    17658
    ncRNA splicing
    8
    10
    13
    13
    13
    upstream
    4488
    4204
    4270
    4458
    6344
    downstream
    2392
    2352
    2436
    2406
    3501
    intergenic
    66631
    64399
    64589
    68470
    137307
    Total
    250922
    246335
    247081
    255588
    385335

    Heatmap of significantly mutated genes