1. Product Overview

TruBioinfo Bioinformatics Services is committed to providing comprehensive data analysis and interpretation solutions for life science research. We combine advanced computing technology and professional biological knowledge to help researchers extract valuable information from massive high-throughput data and accelerate the process of scientific research and clinical application. Our services cover every aspect from data preprocessing to advanced analysis to ensure data accuracy and reliability.

2. Product features

2.1 Customized analysis process

·  Personalized solutions : Provide personalized analysis solutions based on customers’ specific needs and research goals.

·  Flexible analysis module : supports the combination of multiple analysis modules to meet the needs of different research projects.

2.2 Powerful statistical methods

·  Advanced statistical model : Use advanced statistical methods and machine learning algorithms to mine potential information in the data.

·  Multivariate analysis : Supports multivariate analysis to help researchers understand complex biological systems.

2.3 Interactive visualization tools

·  Rich visualization tools : Provides a variety of visualization tools to help researchers understand and interpret data intuitively.

·  Dynamic charts : Support dynamic charts and interactive interfaces to enhance the interpretability and shareability of data.

2.4 Efficient data management

·  Data storage and backup : Provide secure data storage and backup services to ensure data security and integrity.

·  Data sharing and collaboration : Supports data sharing and team collaboration, facilitating data exchange and cooperation among multiple users.

2.5 Professional technical support

·  Expert team : We have a team of bioinformatics experts and computational scientists to provide professional technical support and consulting services.

·  Training and education : Regular training courses and seminars are held to help customers improve their data analysis capabilities.

3. Service content

3.1 Data preprocessing

·  Quality control : Perform quality control on raw data and remove low-quality data points.

·  Data cleaning : Clean data, remove noise and outliers, and ensure data accuracy.

·  Data standardization : Standardize the data to make different batches of data comparable.

3.2 Genomics analysis

·  Gene annotation : Annotate genomic data to provide gene function and pathway information.

·  Variant detection : Detect single nucleotide variations ( SNVs), insertions and deletions (InDels), and structural variations (SVs) in the genome .

·  Gene expression analysis : Analyze gene expression levels and conduct identification and functional enrichment analysis of differentially expressed genes (DEGs).

3.3 Transcriptomic analysis

·  RNA-seq data analysis : perform comparison, quantification and differential expression analysis on RNA-seq data.

·  Transcript assembly : Assemble transcripts and discover new transcripts and splicing events.

·  Non-coding RNA analysis : Analyze the expression and function of non-coding RNA such as miRNA and lncRNA.

3.4 Proteomic analysis

·  Protein identification : Use mass spectrometry data to identify proteins, providing protein sequence and modification information.

·  Protein quantification : perform relative quantification and absolute quantitative analysis of proteins.

·  Protein interaction network : Construct a protein interaction network and analyze the function and regulatory relationship of proteins.

3.5 Metabolomic analysis

·  Metabolite identification : Use mass spectrometry data to identify metabolites and provide information on the chemical structure and function of the metabolite.

·  Metabolite quantification : perform relative quantification and absolute quantitative analysis of metabolites.

·  Metabolic pathway analysis : Analyze metabolic pathways to reveal the biosynthesis and degradation processes of metabolites.

3.6 Multi-omics integrated analysis

·  Data integration : Integrate genome, transcriptome, proteome and metabolome data for comprehensive analysis.

·  Correlation analysis : Analyze the correlation between different omics data to reveal multi-level biological regulatory mechanisms.

·  Network analysis : Construct biological networks and analyze the interactions between genes, proteins and metabolites.

4. Application scenarios

·  Research on disease mechanisms : Reveal the molecular mechanisms of diseases and discover new biomarkers.

·  Drug development : Accelerate drug screening and target verification, and improve drug research and development efficiency.

·  Personalized medicine : Support precision medicine and develop individualized treatment plans.

·  Basic research : Support basic research in the fields of cell biology, genetics, metabolism and other fields.

·  Agricultural and environmental research : applied to fields such as plant genomics and environmental microbiology.

5. Conclusion

TruBioinfo bioinformatics services provide researchers with powerful tools through its comprehensive analysis capabilities and professional technical support to help them extract valuable information from massive high-throughput data and accelerate the process of scientific research and clinical applications. . Whether it is genomics, transcriptomics, proteomics or metabolomics, TruBioinfo can provide a one-stop solution to ensure the accuracy and reliability of research.