Method for Bioinformatic Analysis of Sample Material Derived from a Living Being and Computer Program
AISimple SummaryContent extracted from patent full text and abstract with AI.
This invention describes a computer-implemented method and associated software for the efficient bioinformatic analysis of sample material derived from living beings, with a particular focus on analyzing RNA sequencing data. The method filters out unwanted sequences, translates RNA to protein sequences, uses robust databases to assign both taxonomic and functional characteristics, and aggregates results to make large-scale, precise metagenomic and metatranscriptomic analyses faster and more feasible. This overcomes current computational bottlenecks and allows detailed identification and functional analysis of diverse microorganisms in samples.
Use CasesContent extracted from patent full text and abstract with AI.
- Medical diagnostics to identify and understand the role of microorganisms in diseases such as cancer, inflammatory bowel disease, or liver disorders.
- Environmental monitoring of water and soil samples for microbial composition and activity.
- Research into human, animal, or plant microbiomes to assess health, disease, and ecosystem interactions.
- Biotechnology applications for characterizing microbial communities for fermentation, bioremediation, or synthetic biology.
- Pharmaceutical development through detailed mapping of gut flora and its metabolic functions.
BenefitsContent extracted from patent full text and abstract with AI.
- Greatly reduces computational effort and time for large-scale RNA sequencing analysis.
- Simultaneously assigns both taxonomy (which organisms) and function (what proteins/metabolisms) to sequence data, previously not achievable in a single analysis method.
- Uses comprehensive databases to avoid missing relevant microbial or viral components, providing near-complete profiling of complex samples.
- Enables high-resolution and semi-quantitative analysis, reconstructing metabolic pathways at the species level.
- Supports cost-effective and scalable analysis workflows for various biology and health-related fields.
Technical Classifications (CPCs)
Main Classifications
Physics & Measurement
Sub Classifications
Information and Communication Technology for Specific Applications
CPC Codes
Inventors & Applicants
Applicants
Otto von Guericke Universität Magdeburg Körperschaft des Öffentlichen Rechts
Patent Abstract
The invention relates to a method for bioinformatic analysis of sample material originating from a living being, having the further features of claim 1. The invention also relates to a computer program for executing such a method on a computer. The method can be im- plemented as a pure data-processing method to which computer-readable input data are provided as input variables and which in turn generates output data. In particular, the method can be realized as a computer-implemented method.
Key Information
Publication No.
DE102023107389A1
Family ID
90675673
Publication Date
2024-09-26
Application No.
DE102023107389A
Application Date
2023-03-23
Priority Date
2023-03-23
Granted
No
Possible Cooperation
For further information please contact the transfer office.