Modulo-Based Genetic Alignment System for Computational Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing genetic material sequencing methods are computationally and memory intensive, leading to high power requirements and reduced alignment speed due to the large-scale nature of genetic data, particularly in DNA sequencing where billions of bases need to be aligned.
Innovation Solution
A modulo-based genetic alignment system that reduces data size, register requirements, and power consumption by using modular arithmetic for dynamic programming, optimized for 8-bit arithmetic with customized hardware, allowing for faster processing and reduced heat generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional alignment methods are used to process large-scale genetic data, then alignment accuracy is maintained, but computational complexity and memory requirements increase significantly
Solution Approach 1:
The patent transforms the alignment problem from operating on raw genetic sequences to operating on modulo-based numerical representations. By mapping genetic data to numerical values and applying modulo arithmetic operations, the system changes the parameter space from symbolic sequence manipulation to numerical computation, reducing computational complexity while preserving alignment accuracy through the mathematical properties of modulo operations.
Solution Approach 2:
The patent replaces traditional software-based dynamic programming alignment algorithms with a hardware-accelerated system that uses customized arithmetic logic units. This substitution of computational mechanics from software execution to dedicated hardware circuits significantly reduces computational complexity and increases processing speed while maintaining alignment precision.
2Reliability
If traditional alignment methods are used to process large-scale genetic data, then complete data processing is achieved, but memory requirements increase significantly
Solution Approach 1:
The patent transforms genetic sequence data into compact numerical representations using modulo arithmetic. Instead of storing and processing large strings of nucleotide sequences, the system encodes data as numerical values within a reduced parameter space (modulo M), significantly decreasing memory requirements while preserving the essential information needed for accurate alignment through the bijective mapping properties of modular arithmetic.
Solution Approach 2:
The patent divides the genetic data processing into discrete numerical operations that can be handled in smaller computational units. By segmenting the alignment problem into modulo-based arithmetic operations on numerical representations, the system processes data in manageable chunks that require less memory, yet collectively maintain complete data processing capability.
3Productivity
If high computational power is used for alignment, then processing speed increases, but power consumption increases
Solution Approach 1:
The patent replaces general-purpose high-power computational systems with specialized hardware circuits designed specifically for modulo arithmetic operations. This substitution of computational mechanics from general-purpose processors to dedicated hardware accelerators achieves high processing speeds for alignment operations while consuming significantly less power, as the customized circuits perform only the specific arithmetic operations needed without the overhead of general-purpose computing.
Solution Approach 2:
The patent changes the computational parameters from complex sequence manipulation operations to simple modulo arithmetic operations. This parameter transformation enables the use of low-power hardware circuits that perform basic arithmetic operations efficiently, achieving high processing speed for alignment tasks while minimizing power consumption compared to traditional high-performance computing approaches.
4Productivity
If high computational power is used for alignment, then processing speed increases, but heat generation increases
Solution Approach 1:
The patent replaces power-intensive software-based computational systems with energy-efficient hardware circuits optimized for modulo arithmetic. This substitution reduces heat generation by eliminating the overhead of software execution and using dedicated logic circuits that perform computations with minimal energy dissipation, while still achieving high processing speeds for genetic alignment.
Solution Approach 2:
The patent transforms the computational task from complex sequence processing to simple numerical modulo operations. This parameter change enables the use of low-power hardware implementations that generate minimal heat, as basic arithmetic operations in dedicated circuits produce far less thermal energy than general-purpose processing, yet maintain high processing throughput for alignment operations.
Data Source
AI summary
A modulo based alignment system for aligning genetic material sequences is provided. The modulo based alignment system reduces the size of data required for the genetic material sequence alignment, reduces the number of the registers required for processing, reduces the power requirements, and reduces the amount of heat generated during processing. The modulo based alignment system provides methods of performing dynamic programs for global, overlapping and local alignments using modular arithmetic. The methods produce smaller parameters requiring fewer processor register bits. In addition, with customized hardware optimized for 8-bit arithmetic, the dynamic programs are sped up.