CD Genomics provides genomic features analysis services to explore and reveal genomic features in humans and model species. We offer comprehensive and tailored solutions to help you gain valuable insights into the genomic features of your species of interest.
Overview of Genomic Features Analysis
Next-generation sequencing technologies are sequencing DNA at an unprecedented rate. Depending on the next-generation application, genomic features may be exons, genes, promoter regions, gene bodies, or other genomic compartments, and the key information needed for downstream analysis is mapped to each genomic feature. Read mapping results must be summarized based on the read coverage of the genomic features of interest before they can be biologically interpreted. Genomic features analysis plays a critical role in understanding the complex mechanisms behind various biological processes and diseases. With advances in high-throughput sequencing technologies, researchers now have access to large amounts of genomic data that provide valuable insights into the structure, function, and regulation of the genome.
Fig. 1. Genomic characterization of metastatic organotropism. (Jiang B, et al, 2021)
Application Field
CD Genomics offers customized solutions for genomic features analysis. Our expertise and state-of-the-art technology can help you to be able to explore specific genomic regions and gain a deeper understanding of their biology. Whether you are studying mutation density patterns, characterizing transcription start sites, deciphering DNA replication sites, or other key genomic features, CD Genomics offers a comprehensive and reliable service.
- Gene expression regulation. By analyzing features such as transcription start sites (TSS), enhancers, and promoters, we can help you gain insight into the mechanisms that control gene expression and aberrant gene regulation in diseases such as cancer.
- Identification of the origin of DNA replication. Our genomic features analysis allows identification and characterization of DNA replication origins. By mapping replication start points and analyzing their distribution patterns, we can help you uncover the factors that influence replication initiation and the mechanisms that ensure faithful DNA replication.
- Mutational landscape and oncogenic effects. By examining mutation density patterns around TSS, replication start points, and other genomic features, we can help you identify strand biases, mutational signatures, and specific mutational hotspots associated with different types of cancer.
- Evolutionary studies. By examining features such as transposons, retrotransposons, and repetitive sequences, we can help you gain insight into genome evolution, including mechanisms of genome expansion, rearrangements, and species formation events.
- Genome function annotation. By integrating various genomic data, such as gene expression profiles, epigenetic modifications, and conservation scores, we can assign functional annotations to specific genomic regions.
Workflow of Genomic Features Analysis
CD Genomics offers a well-defined genomic features analysis workflow to ensure reliable results and actionable insights. The process involves several key steps:
(1) Project Consultation: CD Genomics works closely with clients to understand their specific research goals and design a customized analysis plan based on their needs. , and
(2) Data Acquisition and Quality Control: CD Genomics uses cutting-edge sequencing technologies to generate high-quality genomic data. We implement stringent quality control measures to ensure accurate and reliable results.
(3) Pre-processing and alignment: our technical team pre-processes and aligns the acquired genomic data, where the raw sequences are trimmed, filtered, and aligned with the reference genome.
(4) Genomic signature detection: CD Genomics utilizes advanced algorithms and tools to detect specific genomic signatures of interest, such as transcription start sites, DNA replication start points, enhancers, and retrotransposon insertion polymorphism sites. These features are characterized and quantified to reveal their unique properties and association with biological processes.
(5) Statistical analysis: CD Genomics applies statistical methods to assess mutation density patterns, strand deviations, and other relevant metrics associated with genomic features.
(6) Interpretation and reporting: CD Genomics prepares comprehensive reports, including detailed findings, statistical analysis, and visual representations to facilitate data interpretation and further research.
CD Genomics provides comprehensive and accurate genomic profiling with its expertise, customized services, and cutting-edge tools. By examining and analyzing specific genomic regions and their associated features, researchers can gain valuable information about gene expression regulation, DNA replication dynamics, mutational landscapes, evolutionary processes, and genome function. This information is critical to improving our understanding of biological systems, human health, and disease mechanisms, ultimately paving the way for improved diagnostic, therapeutic, and precision medicine approaches. If you are interested in our services, please contact us for more detailed information.
Reference
-
Jiang B, Mu Q, Qiu F, et al. Machine learning of genomic features in organotropic metastases stratifies progression risk of primary tumors[J]. Nature Communications, 2021, 12(1): 6692.
