Using Transcriptome AI for Disease Characterization and Treatment Options
1. DISEASE ACCURACY
2. Disease Severity
3. Treatment Precision
4. Treatment Monitoring
5. Detection of Adverse Reaction
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Transforming Healthcare Through Transcriptomics
What is Transcriptome?
A complete set of RNA molecules transcribed from the genes at a specific time or under specific conditions.
It represents the entire collection of RNA transcripts. Overall, the transcriptome provides a comprehensive view of gene expression within an organism and is a fundamental resource for advancing our understanding of molecular biology, genetics, and disease processes.
Unparalleled Transcriptomic Solutions:
Identification and Quantification of RNA Molecules
The analysis of the transcriptome involves techniques such as RNA sequencing (RNA-seq), which allows for the identification and quantification of RNA molecules present in a sample. Through RNA-seq, we can determine the abundance of specific transcripts, identify novel RNA molecules, and gain insights into the dynamic nature of gene expression.
Comprehensive View of Gene Expression
A fundamental resource for advancing our understanding of molecular biology, genetics, and disease processes.
29,000
Transcriptome Studies
29,000 Transcriptome Studies conducted as of 2023 according to scientific databases.
25,000
Gene Readouts
Transcriptome is a collection of 25,000 gene readouts present in a cell to determine the amount of gene activity.
How it works?
By comparing transcriptome profiles between different conditions or tissues, we can identify differentially expressed genes and pathways associated with specific biological states or diseases. This information aids in understanding cellular functions, discovering potential therapeutic targets, and developing diagnostic tools.
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Transcriptome Analysis
If you're in search of answers regarding your specific medical condition and
Disease Accuracy by Biomarker Identification
Using Transcriptome for Accurate Disease Characterization, Prognosis, Severity, Treatment, and Adverse Reaction Prediction
Targeted Bioinformatics Analysis
Revolutionizing the Standard of Disease Characterization & Treatment Options Ayass Research
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