The genetic code is the recipe for life, and provides the instructions for how to make proteins, generally using just 20 amino acids. But certain groups of microbes have an expanded genetic code, in ...
DNA sequencing is one of today's most critical scientific fields, powering leaps in humanity's understanding of genetic causes of cancer, neurodegenerative diseases, and diabetes. One issue facing the ...
ETH Zurich scientists have created “MetaGraph,” a revolutionary DNA search engine that functions like Google for genetic data. By compressing global genomic datasets by a factor of 300, it allows ...
This repository contains MATLAB code developed for the paper: “Scaling Considerations for Supercritical Carbon Dioxide Cycles Including Turbomachinery Loss Models”, submitted to Applied Thermal ...
Sequencing has filled global archives with vast DNA and RNA reads, but finding signals in that noise has remained out of reach. ETH Zurich’s MetaGraph turns raw sequences into a compressed, full-text ...
Abstract: This paper presents a MATLAB code for Adaptive Fuzzy Campus Placement based Optimization Algorithm (AFCPOA), a novel approach designed to address the solutions to single and multi-objective ...
This repository contains the MATLAB source code and associated data files to support the findings of the paper: [To be included upon publication]. The code facilitates the simulation, analysis, and ...
CINCINNATI (WKRC) - Research suggests that using cannabis may alter a person's epigenetic code. The research suggested that marijuana use can impact the genetic code responsible for activating and ...
Abstract: This paper describes the Jaya Algorithm and compares its performance with the Genetic Algorithm for optimizing the Himmelblau function and the Rosenbrock function. The Jaya algorithm is ...
SAN DIEGO, May 19, 2025 (GLOBE NEWSWIRE) -- Bionano Laboratories, a wholly-owned subsidiary of Bionano Genomics, Inc. (Nasdaq: BNGO) that offers CLIA-certified laboratory developed tests (LDTs) based ...
The SEO industry is undergoing a profound transformation in 2025. As large language models (LLMs) increasingly power search experiences, success now depends on withstanding traditional algorithm ...