
Deep Learning for Sequence-to-Expression Models in Strain Optimization
Deep learning is a subset of machine learning that uses neural networks with multiple layers (deep neural networks) to learn complex patterns from large datasets. […]
Deep learning is a subset of machine learning that uses neural networks with multiple layers (deep neural networks) to learn complex patterns from large datasets. […]
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, learn, and make decisions in a way that […]
Intuence is a next-generation data-analysis platform designed to accelerate insights by leveraging advanced data analytics and artificial intelligence (AI). It is tailored to facilitate the […]
Weighted Gene Co-expression Network Analysis (WGCNA) is a widely used method for analyzing the relationships between genes based on their expression profiles. It is particularly […]
Ultra-large virtual screening refers to the use of computational techniques to rapidly evaluate a vast number of compounds or molecules to identify potential candidates for […]
Using serverless data portals to make data FAIR (Findable, Accessible, Interoperable, and Reusable) involves leveraging serverless computing technologies to create data infrastructure that supports the […]
The Globus Platform is a cloud-based data management and collaboration platform designed to facilitate secure, efficient, and scalable sharing, access, and management of large-scale data. […]
A knowledge graph is a structured representation of information that maps out relationships between concepts, entities, and data points in a way that’s easily interpretable […]
Understanding the function of proteins is paramount in elucidating biological processes and developing targeted therapeutics. An essential aspect of protein function is the identification of […]
Understanding the three-dimensional (3D) structure of proteins is crucial for deciphering their functions and developing targeted therapies for various diseases. Historically, predicting protein structures has […]
In bioinformatics, there are several sequence alignment methods used to compare and align biological sequences, such as DNA, RNA, and protein sequences. Here are five […]
Entrez is a powerful search and retrieval system provided by the National Center for Biotechnology Information (NCBI), which is part of the United States National […]
A GenBank entry follows a specific format that contains essential information about a DNA or RNA sequence along with associated metadata. Here is a detailed […]
Mass spectrometry (MS) is a powerful analytical technique used to determine the mass-to-charge ratio (m/z) of ions in a sample. It is based on the […]
Global and local alignments are two types of sequence alignment methods used in bioinformatics. They differ in how they align two sequences and what information […]
Phylogenetic analysis is a scientific method used to study and infer the evolutionary relationships among organisms or sequences based on their shared characteristics, such as […]
Machine learning (ML) has emerged as a powerful tool in chemical and biochemical engineering, revolutionizing various aspects of research, development, and industrial processes. By leveraging […]
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