Benefits for using Symba Genomics services
- Customer focused
- experienced team
- 100% past service assistance
- data quality assurance
- best in class data science
- scalable cloud computing
- data security
- gitHub code sharing
- apps for organization wide data access
Data to Decision
At Symba Genomics, our data analysis services are designed to maximize the value of your sequencing projects, transforming raw data into meaningful insights. Our comprehensive data science/bioinformatics expertise ensures that you receive accurate, detailed, and actionable results.
Expert Whole Genome and Whole Exome Sequencing Data Analysis
Our top-tier Whole Genome and Whole Exome Sequencing data analysis services deliver comprehensive insights into your genomic data. We identify and summarize key genetic alterations, including Copy Number Variations (CNVs), Structural Variations, and Single Nucleotide Variations (SNVs). Beyond detection, we provide detailed biological interpretation of these genomic changes, helping you understand their potential impact.Each analysis is accompanied by a fully customized report, tailored to your specific research needs, ensuring you have the actionable insights required to move your work forward with confidence.
Variant Calling
Identify a comprehensive array of genetic variants, including single nucleotide polymorphisms (SNPs), insertions/deletions (indels), and structural variations.
Genome Annotation
Annotate functional elements across the genome, linking variants to genes, regulatory regions, and other important functional features.
Population & Evolutionary Analysis
Perform comparative studies, population genetics, and evolutionary analysis to understand genetic diversity and evolutionary history
Disease Association Studies
Correlate genetic variants with phenotypic traits and diseases, uncovering potential genetic underpinnings of health conditions
Comprehensive RNA-Seq Data Analysis Services
We specialize in identifying mRNA expression differences across multiple groups, whether at a single time point or over a time series. Our team provides in-depth insights by summarizing differentially expressed genes and pathways, delivering a clear understanding of the underlying biological processes.
Additionally, we develop custom predictive models tailored to your specific outcomes of interest, enabling you to make data-driven decisions with confidence.
Steps Of RNASeq
Quantification
Gain clear insights into gene expression levels with our advanced quantification methods, accurately measuring transcript abundance and variability across samples.
Differential Expression Analysis
Discover critical biological differences with our deep statistical analysis, identifying transcripts that show significant expression changes under various conditions.
Functional Annotation
Decode the biological significance of your data with comprehensive annotation, linking transcripts to known functions, pathways, and regulatory networks.
Data Visualization
Experience intuitive, publication-ready visualizations that transform complex data into easily interpretable graphs and charts, empowering you to present and share your findings with confidence
Advanced Single-Cell RNA Sequencing Data Analysis
Single-cell RNA sequencing (scRNA-seq) is a powerful technique applied to analyze gene expression at single cell resolution. Bulk RNA-seq is suitable for general transcriptomic studies, while scRNA-seq is essential for detailed analysis of cellular diversity, development, and differentiation.
At Symba Genomics, we leverage the power of artificial intelligence to accurately annotate cell types, providing precise insights into cellular identities. Using advanced unsupervised clustering algorithms, we reveal the intricate cellular heterogeneity, offering a clear visualization of complex cell populations.
We create tailored machine learning models to uncover critical cellular insights, enabling you to optimize culture methods and achieve desired transformations with precision.
Steps of single cell RNA Sequencing
Normalization
scRNA-seq requires specialized normalization techniques to handle the variability in sequencing depth and capture efficiency across cells
Cell Annotation
Unique to scRNA-seq, this analysis annotates the cell leverage upon expression profile of transcriptome based on cutting edge AI and ML techniques
Trajectory Inference
Unique to scRNA-seq, this analysis reconstructs cell developmental trajectory and we apply AI/ML techniques to filter genes/pathways that drive the cell differentiation processes.
Integration and Batch Correction
More critical in scRNA-seq to combine data from different experiments or conditions to draw comprehensive insights and mitigate batch effects.
Clustering and Dimensionality Reduction
These steps are crucial in scRNA-seq to identify and visualize distinct cell populations, which can not be done with bulk RNASeq
End to end Metagenomics Solutions
At Symba Genomics, we turn your raw metagenomic data into actionable biological insights, accelerating your research with unparalleled precision and clarity. Our comprehensive metagenomic services are designed to detect and identify any adventitious agents in vaccines and other biologics, ensuring the safety and integrity of your products.
Leveraging an extensive virus sequence database and advanced AI models, we assess the pathogenic risk of novel viruses, giving you the insights needed to make informed, proactive decisions. Drive your research forward with Symba Genomics—where data meets discovery.
Steps of Metagenomics Analysis
Taxonomic Profiling
Uncover the microbial diversity within your samples with our precise taxonomic classification algorithms. Identify and quantify microbial species to understand community composition, leveraging state-of-the-art algorithms for accurate profiling.
Functional Profiling
Dive deeper into the functional consequence of microbial communities. Our analysis provides insights into the metabolic capabilities and ecological roles of your microbiota.
Comparative Metagenomics
Compare microbial communities across different environments or conditions with advanced diversity and differential abundance analyses. Identify unique and core microbiomes, uncovering significant patterns and associations that reveal the impact of environmental changes or interventions on microbial populations.
Reporting and Interpretation
Receive comprehensive, easy-to-understand reports with detailed visualizations that highlight key findings. Our integration of statistical and bioinformatics tools ensures robust data interpretation. We offer clear, actionable insights tailored to your research objectives, supporting impactful conclusions and informed decision-making.
Transform Your Gene Editing Projects with Advanced Solutions
Symba Genomics, we elevate your gene editing projects with state-of-the-art machine learning solutions. Our cutting-edge techniques allow us to demonstrate the on-target editing efficacy of your strategy using AmpSeq and assess off-target effects with GuideSeq, ensuring the highest level of accuracy and confidence in your gene editing results. Empower your gene editing efforts with our innovative solutions and drive your research forward.
Steps of Gene Editing Analysis
Data Collection and Preprocessing
We gather and clean extensive gene sequence datasets, extracting crucial features to ensure high-quality inputs.
Efficiency Optimization
We predict and enhance editing efficiency, designing optimal guide RNAs with high on-target success and low off-target potential. We also analyze amplicon sequencing data to inform on target editing efficiency.
Off-target prediction
We accurately identify off-target effects with GuideSeq data analysis, minimizing unintended edits.
Pioneering Biomarker Discovery for Precision Medicine
At Symba Genomics, we deliver a holistic, integrative approach to biomarker discovery, propelling the future of precision medicine with cutting-edge and reliable solutions. Our expertise lies in seamlessly integrating multiomics datasets and developing advanced machine learning models to identify patient-stratified biomarkers, as well as pharmacokinetic/pharmacodynamic (PK/PD) biomarkers. Unlock new insights and drive personalized treatments with our innovative biomarker discovery solutions.
Steps of Biomarker discovery
Data Integration and Multi-Omics Analysis
Leverage the power of systems biology to integrate data from genomics, transcriptomics, proteomics, and metabolomics. Our approach identifies correlations and associations across multiple biological layers, ensuring robust and comprehensive biomarker discovery.
Network Analysis
Construct and analyze biological networks, including protein-protein interactions, gene regulatory networks, and metabolic pathways. Identify key nodes and modules crucial for disease processes, pinpointing potential biomarkers with high relevance.
Dynamic Modeling
Utilize dynamic models to simulate biological processes over time, capturing temporal changes in molecular interactions. Identify biomarkers associated with disease progression, providing insights into longitudinal expression profile of biomarker.
Functional Enrichment Analysis
Link differentially expressed biomarkers to specific biological functions and pathways. Our analysis ensures that identified biomarkers are functionally relevant and biologically meaningful.
Machine Learning and Predictive Modeling
Apply advanced machine learning algorithms to integrated datasets, identifying patterns and predicting potential biomarkers. These models enhance the accuracy and reliability of biomarker discovery, classifying disease states and predicting treatment outcomes.
Validation and Prioritization
Validate potential biomarkers by analysing independent experimental and clinical data. Our prioritization algorithms rank biomarkers based on relevance, robustness, and clinical applicability, streamlining the selection process for further experimental validation.
Unlock the Power of Proteomics with Advanced Data Analysis Services
Unlock the Power of Proteomics with Advanced Data Analysis Services Proteomics is a transformative technology that enables high-throughput profiling of protein expression, whether at the cellular level or across bulk tissue samples. At Symba Genomics, we specialize in comprehensive proteomics data analysis services, offering expertise in both single-cell proteomics (CITEseq and Flow Cytometry) and bulk proteomics via Liquid Chromatography-Mass Spectrometry (LC-MS).
Our end-to-end proteomics data analysis process includes meticulous quality checks, data normalization, multi-dimensional scaling, dimensionality reduction, cell annotation, cell-specific marker screening, pseudo-time analysis, and more.
With extensive experience across multiple proteomics assays—Flow Cytometry, Mass Cytometry, and Mass Spectrometry—we provide high-quality analysis reports and deliver user-friendly, customized apps that make data exploration effortless. Whether you’re aiming to uncover new biomarkers or gain deeper biological insights, we ensure your data is not only analyzed but made accessible at your fingertips.
Advanced Bio-Specimen Imaging and Multi-Omics Integration
At the forefront of bio-specimen imaging, we specialize in extracting and analyzing data from biological specimens, integrating image-based insights with multi-omics data to reveal unparalleled connections between phenotypes and molecular profiles.
AI has revolutionized biological image analysis, enabling the precise extraction of both qualitative and quantitative data from visual specimens. In the emerging field of Radiogenomics, we combine morphological features from cellular images with molecular data from genomics and proteomics studies, offering a powerful approach to accelerate research in drug discovery, disease diagnosis, and developmental biology.
Our state-of-the-art AI-driven analysis services empower your Radiogenomics studies, unlocking valuable insights to drive your research forward.
Accelerate Drug Discovery with Expert Target Dossier Development
Our Drug Target Dossier Service is designed to drive your drug discovery efforts with comprehensive, data-driven analyses of therapeutic targets across a wide range of diseases. With deep expertise in building target dossiers for Cancer, Lupus, NASH, and Cardiovascular Disease, we provide you with high-quality, actionable insights to accelerate your research.
Our service includes detailed profiling of target expression patterns, molecular mechanisms, and potential side effects, supported by multi-omics studies, functional assays, and preclinical models. Whether you’re focused on cancer, metabolic disorders, or cardiovascular conditions, our dossiers help identify novel therapeutic targets, facilitating the development of more precise and effective treatments with minimized off-target effects.
Partner with us to fast-track your drug discovery with scientifically robust, clinically relevant data that empowers you to make informed decisions and drive breakthroughs.
