GTx-RNA

GTx-RNA from DNA GTx Bioinformatics is a specialized service that leverages advanced bioinformatics tools and methodologies to analyze RNA sequencing (RNA-Seq) data. This service provides comprehensive solutions for research institutions and companies interested in understanding gene expression, alternative splicing, and transcriptomic profiles across various biological samples and conditions.

GTx-RNA

GTx-RNA from DNA GTx Bioinformatics is a specialized service that leverages advanced bioinformatics tools and methodologies to analyze RNA sequencing (RNA-Seq) data. This service provides comprehensive solutions for research institutions and companies interested in understanding gene expression, alternative splicing, and transcriptomic profiles across various biological samples and conditions.

APPLICATIONS

Gene expression analysis in various organisms and tissues.

Identification of biomarkers for diseases or drug response.

Study of alternative splicing and isoform regulation.

Investigation of gene regulatory networks and pathways.

Comparative transcriptomics and evolutionary studies.

APPLICATIONS

Gene expression analysis in various organisms and tissues.

Identification of biomarkers for diseases or drug response.

Study of alternative splicing and isoform regulation.

Investigation of gene regulatory networks and pathways.

Comparative transcriptomics and evolutionary studies.

KEY FEATURES

Data Quality Control: The service begins with a robust quality control analysis of raw RNA-Seq data to ensure reliable and accurate downstream analysis. It includes assessing sequencing quality, evaluating read alignment, and identifying any potential biases or artifacts introduced during library preparation or sequencing.

Read Alignment and Mapping: GTx-RNA employs state-of-the-art alignment algorithms to map the sequencing reads to a reference genome or transcriptome. This process enables researchers to determine the origin and location of each read within the genome and facilitates subsequent analyses.

Gene Expression Analysis: The service quantifies gene expression levels by estimating the abundance of transcripts from the aligned reads. It provides both raw and normalized expression values, allowing researchers to compare expression profiles between samples, identify differentially expressed genes, and perform statistical analyses.

Transcriptome Reconstruction: In addition to gene-level analysis, GTx-RNA reconstructs and quantifies the complete transcriptome by identifying and characterizing alternative splicing events, novel transcripts, and non-coding RNAs. This enables researchers to gain a comprehensive understanding of the transcriptomic landscape and regulatory mechanisms.

Differential Expression Analysis: We offer differential expression analysis to identify genes or transcripts that show significant expression changes between different sample conditions or experimental groups. This analysis aids in uncovering genes associated with specific biological processes, diseases, or treatments.

Functional Annotation: Various biological databases and tools are integrated to provide functional annotation of differentially expressed genes. It helps researchers interpret the biological relevance of their findings by identifying enriched gene ontology terms, biological pathways, and associated protein domains.

Visualization and Data Exploration: GTx-RNA provides interactive visualizations and data exploration tools to facilitate in-depth exploration of the RNA-Seq data. Researchers can visualize expression patterns, generate heatmaps, scatter plots, and volcano plots, and extract additional insights from the data.

Alternative Splicing Analysis: The service includes specialized algorithms and tools to analyze alternative splicing events. It identifies different splicing patterns and quantifies the relative abundance of alternatively spliced isoforms, enabling researchers to study the regulatory mechanisms and functional implications of alternative splicing.

Detection of fusion events: GTx-RNA identifies fusion events involving different RNAs and provides complete annotation of such events.

Integration with Downstream Analyses: Our service ensures compatibility with various downstream analyses, such as gene set enrichment analysis, network analysis, and pathway analysis. This integration allows researchers to gain a deeper understanding of the biological processes and regulatory networks underlying their RNA-Seq data.

Data Security and Confidentiality: We prioritize data privacy and security. It ensures adherence to privacy regulations and implements robust data protection measures to safeguard the confidentiality of the RNA-Seq data provided by researchers.

KEY FEATURES

Data Quality Control: The service begins with a robust quality control analysis of raw RNA-Seq data to ensure reliable and accurate downstream analysis. It includes assessing sequencing quality, evaluating read alignment, and identifying any potential biases or artifacts introduced during library preparation or sequencing.

Read Alignment and Mapping: GTx-RNA employs state-of-the-art alignment algorithms to map the sequencing reads to a reference genome or transcriptome. This process enables researchers to determine the origin and location of each read within the genome and facilitates subsequent analyses.

Gene Expression Analysis: The service quantifies gene expression levels by estimating the abundance of transcripts from the aligned reads. It provides both raw and normalized expression values, allowing researchers to compare expression profiles between samples, identify differentially expressed genes, and perform statistical analyses.

Transcriptome Reconstruction: In addition to gene-level analysis, GTx-RNA reconstructs and quantifies the complete transcriptome by identifying and characterizing alternative splicing events, novel transcripts, and non-coding RNAs. This enables researchers to gain a comprehensive understanding of the transcriptomic landscape and regulatory mechanisms.

Differential Expression Analysis: We offer differential expression analysis to identify genes or transcripts that show significant expression changes between different sample conditions or experimental groups. This analysis aids in uncovering genes associated with specific biological processes, diseases, or treatments.

Functional Annotation: Various biological databases and tools are integrated to provide functional annotation of differentially expressed genes. It helps researchers interpret the biological relevance of their findings by identifying enriched gene ontology terms, biological pathways, and associated protein domains.

Visualization and Data Exploration: GTx-RNA provides interactive visualizations and data exploration tools to facilitate in-depth exploration of the RNA-Seq data. Researchers can visualize expression patterns, generate heatmaps, scatter plots, and volcano plots, and extract additional insights from the data.

Alternative Splicing Analysis: The service includes specialized algorithms and tools to analyze alternative splicing events. It identifies different splicing patterns and quantifies the relative abundance of alternatively spliced isoforms, enabling researchers to study the regulatory mechanisms and functional implications of alternative splicing.

Detection of fusion events: GTx-RNA identifies fusion events involving different RNAs and provides complete annotation of such events.

Integration with Downstream Analyses: Our service ensures compatibility with various downstream analyses, such as gene set enrichment analysis, network analysis, and pathway analysis. This integration allows researchers to gain a deeper understanding of the biological processes and regulatory networks underlying their RNA-Seq data.

Data Security and Confidentiality: We prioritize data privacy and security. It ensures adherence to privacy regulations and implements robust data protection measures to safeguard the confidentiality of the RNA-Seq data provided by researchers.

BENEFITS

Comprehensive analysis of RNA-Seq data to unravel gene expression patterns, alternative splicing events, and transcriptomic profiles.

Identification of differentially expressed genes and functional annotation to understand biological processes and pathways involved.

Customizable analysis pipelines tailored to specific questions and experimental designs.

Access to advanced bioinformatics tools and algorithms for accurate and reliable results.

Expert support and guidance from bioinformatics professionals to interpret findings and troubleshoot issues.

BENEFITS

Comprehensive analysis of RNA-Seq data to unravel gene expression patterns, alternative splicing events, and transcriptomic profiles.

Identification of differentially expressed genes and functional annotation to understand biological processes and pathways involved.

Customizable analysis pipelines tailored to specific questions and experimental designs.

Access to advanced bioinformatics tools and algorithms for accurate and reliable results.

Expert support and guidance from bioinformatics professionals to interpret findings and troubleshoot issues.