Digital Twins Unlock the Key to New Biomarker Discovery for Atherosclerosis
A recent study utilized digital twin technology to identify new markers for atherosclerotic coronary artery disease (ASCAD). The study was conducted by G3 Therapeutics,...
Predicting Drug Success: The Role of Computer Models in Determining Drug’s...
When it comes to developing new drugs, one of the most important considerations is how well a candidate drug will bind to its target...
Revolutionizing Cancer Detection: A New Database Maps Proteins that could Predict...
The ability to predict cancer has advanced with the recent release of a new database that includes information on cancer proteins and was developed...
Speeding Up Drug Formulation Development: Harnessing the Power of Machine Learning
Scientists at the University of Toronto advanced drug formulation development by utilizing machine learning techniques to predict and guide the design of long-acting injectable...
CHESSBOARD: A Bayesian Approach to Identifying Cancer Subtypes through Unsupervised Detection...
Finding cancer subtypes is a crucial first step in creating individualized care. In particular, RNA splicing change-based sub-typing has been encouraged by a number...
Unraveling the Mechanics of DNA: Scientists Decrypt the ‘Mechanical Code’
The mechanical properties of DNA are affected by various processes, including local sequence and epigenetic modifications. It has been challenging to understand the relationship...
Exploring the Intersection of Genomics and Phenomics in the Study of...
The relationship between Body Mass Index (BMI) and several health issues that have an influence on morbidity and mortality has been the focus of...
Discover the Power of RGT: A Toolbox for Analyzing High Throughput...
The Bioinformatics and Genomics Group at the University of Barcelona has developed "RGT" (Regulatory Genomics Toolbox), a powerful tool for the integrative analysis of...
Scientists Discover How DNA Repair Enzyme ‘DNA polymerase θ’ Could Revolutionize...
DNA polymerase θ is an enzyme that plays a crucial role in the process of repairing broken strands of DNA. In a recent study,...
What are Biomolecules?
Biomolecules are molecules produced by living organisms and are essential for the proper functioning of an organism's cells and tissues. They include molecules such...
Exploring Type 2 Diabetes Drug-Omics Associations Using Deep Learning Models
Multiple omics technologies may be used in biological cohorts to identify patient-level disease features and unique treatment responses. The size and heterogeneity of the...
Meet DeepMosaic: A Computer Program that ‘Learns’ to Identify Mosaic Mutations...
Scientists from the University of California San Diego School of Medicine and Rady Children's Institute for Genomic Medicine have developed a method "DeepMosaic" for...
A Hidden Markov Modeling Approach for Estimating Orientations and Structures of...
Saitama University, Japan, researchers developed a powerful method for observing the time-resolved behavior of biomolecules through high-speed atomic force microscopy (HS-AFM), thus improving the...
Exploring the Genome with OpenGenomeBrowser: A Versatile, Scalable, and Dataset-Independent Web...
The OpenGenomeBrowser, developed by researchers from the University of Bern, is a web platform that allows researchers to manage and analyze microbial genome data,...
Meet GCNCPR-ACPs: An Innovative Model for Predicting Anticancer Peptides Based on...
Researchers at the School of Informatics, Xiamen University, China, and Computational Health Informatics Program, Boston Children’s Hospital, USA developed the GCNCPR-ACPs method to effectively...
What is RNA?
RNA (ribonucleic acid) is a molecule that plays a variety of important roles in the body. It is a single-stranded nucleic acid that is...
Meet “BioNumPy”: A Powerful Tool for Quick and Easy Biological Data...
Scientists from the University of Oslo, Norway, presented a brand-new Python module called BioNumPy that builds a layer on top of NumPy to make it...
OpenAI’s ChatGPT: A Promising AI Tool for Early Detection of Alzheimer’s...
Researchers at Drexel University's School of Biomedical Engineering, Science, and Health Systems have found that ChatGPT, an AI-powered chatbot program, may be able to...
Unleashing the Power of Unsupervised Language Model and Triplet Neural Network...
To understand how living systems operate and develop new medications, it is essential to identify protein functions accurately. Researchers from the USA propose a...
Scientists Design Machine Learning Model to Decipher the Microenvironment Communication Networks...
Intercellular networks between key players in the tumor microenvironments make tumor cells invincible against the body’s natural defense mechanisms. Identifying and targeting these interactions...
Top 10 Bioinformatics Breakthroughs of 2022!
The field of bioinformatics has seen numerous exciting breakthroughs in the year 2022 that have transformed the landscape of biological research. Many important discoveries...
What is DNA?
Welcome to this informative article on DNA. Let's see what is DNA?
DNA stands for deoxyribonucleic acid, and it is a long, spiral-shaped molecule...
Identifying Imported Plasmodium vivax Malaria Using Molecular Barcoding and Web-Based Data...
Researchers from Indonesia and Australia have developed a molecular barcode and a web-based data analysis tool to identify and track imported cases of Plasmodium...
Exploring the Potential of Combination Therapy: Utilizing Engineered Bacterial Therapeutics and...
According to researchers at Columbia Engineering, they have developed a preclinical evaluation pipeline for assessing the effectiveness of bacterial therapies in lung cancer models....
AI-Powered Dementia Detection: A Digital Solution for Identifying Undiagnosed Cases
Scientists from the Regenstrief Institute, IUPUI, Indiana University, and the University of Miami are using Artificial Intelligence to identify undiagnosed cases of dementia in...
3D Bioprinting Takes Eye Tissue Engineering to New Heights at NIH
Scientists at the National Eye Institute (NEI), part of the National Institutes of Health, have made a significant advancement in the field of 3D...
Scientists Harnessed the Power of Machine Learning to Decode the World...
Scientists from Aalto University and the University of Luxembourg have developed a machine learning model that can accurately identify small molecules. The model has...
Unveiling the Hidden Messages of Photosynthesis: Deciphering the Language of Plant...
Researchers at UC Riverside have made a breakthrough in understanding the signals that plants use to initiate photosynthesis, the process of converting sunlight into...
tFold-Ab: A Novel Antibody Structure Prediction Method without Sequence Homologs
Antibodies are crucial components of the immune system, and their structure is critical for their function. Predicting the three-dimensional structure of antibodies without the...
MACHINE LEARNING FOR BIOMARKER DISCOVERY USING NGS DATA
In this article, we will be exploring how machine learning (ML) techniques can be used to identify and analyze biomarkers from next generation sequencing...
Bioinformatics Approaches used in Single-cell Technologies: Recent Progress and Future Directions...
Researchers from China examined the experimental and bioinformatics approaches used in single-cell research as well as their applications in a variety of industries, thereby...
Annotate_My_Genomes: A Simple Pipeline for Improved Genome Annotation and Neglected Gene...
A simple genome-guided transcriptome annotation pipeline created by researchers from Chile and the University of Manitoba in Winnipeg, Manitoba, Canada, that takes compiled transcripts...
Scientists Develop Deep Learning Models for RNA Degradation Prediction via Crowdsourcing,...
Scientists at the University of Stanford display the potential of crowdsourcing in accelerating and enhancing the research process. The study utilized two crowdsourcing platforms,...
Researchers Develop a Machine Learning Model to Predict Whether a COVID-19...
A study from Florida Atlantic University used machine learning to provide new evidence for understanding how molecular tests and serology tests are correlated and...
Pancreatic Cancer and Drug Resistance: Researchers Identify Key Metabolic Regulators
Drug resistance can be countered only by interrupting the adaptive measures taken by the cells to deflect the drug action. Scientists from the School...
Human Cell Atlas Mission: A Reference Map for Analyzing Human Health...
In order to better understand human health and to identify, track, and cure diseases, the International Human Cell Atlas collaboration is building detailed reference...
Cell Type-Specific Differential Gene Expression: A Guide Through The Available Methods
There is no one-size-fits-all approach to differential expression analysis, and the best method for a given dataset depends on the specific research question. Various...
Ten Hacks for Predicting Protein Properties from Sequences using Machine Learning
The success of machine learning-based approaches for the prediction of protein properties from their amino acid sequences can be attributed to the overall accessibility...
DrugRepo: A Scoring Algorithm for Drug Repurposing Incorporating Chemical and Genomic...
Scientists from the University of Helsinki, Finland, developed a drug repurposing scoring algorithm, DrugRepo, that predicted 6229 new drug-disease relationships across 545 diseases for...
Scientists Employed Phylogenetic Approach to Understand the Pattern of Mutation Occurance...
Phylogenetic approaches can be used to infer the order in which mutations arise during cancer progression by analyzing patterns of mutation occurrence in a...
Metagenomics and Metatranscriptomics: New Insights and Pipelines to Better Navigate Data...
Scientists at the Institute of Parasitology and Biomedicine and the University of Granada, Spain, collaborated to develop two pipelines that could automate and optimize...
TransFlow: a Fast and Efficient Snakemake Workflow for Whole Genome Sequencing...
TransFlow (Transmission Workflow), a convenient, quick, effective, and thorough WGS-based transmission analysis pipeline, is presented by Chinese researchers. TransFlow integrates a number of cutting-edge...
Federated Machine Learning Powers the Biggest Brain Tumor Study to Date...
Federated machine learning enables the largest brain tumor study ever conducted without sharing patient data by allowing researchers to securely analyze distributed datasets while...
MIT Researchers Used Large Language Models to Decode Clinical Health Records...
Researchers from MIT CSAIL employed a potent deep-learning model to extract crucial information from electronic health records that might help with personalized medicine.
The adoption...
UCL Researchers Unraveled the Hidden Patterns Involved in Patients with Multimorbidities
Researchers at University College London discovered multimorbidity and comorbidity illness trends using a dataset spanning 3.8 million patients in England. Patients and clinicians can...
A Multi-Omics Approach to Earth’s Microbiomes Project Demonstrates Microbial and Metabolite...
Contrasting sharply with the little knowledge of the microbial world's underlying structure is the rising awareness of its significance and variety. Despite recent developments...
Meet GenSLMs, A Genome-Level AI Model That Helps Track COVID Variants’...
Argonne National Laboratory researchers, together with partners from six different universities, NVIDIA, and Cerebras Inc., have collaborated to create GenSLMs, that learn the evolutionary...
Amazon’s Big Bet On Bioinformatics – Introduces Amazon OMICS – A...
Amazon Omics is a purpose-built service from Amazon Web Services (AWS) that enables customers to store, query, and analyze genomic and biological data at...
Scientists Develop a Machine Learning Model ‘DxFormer’ for Automated Disease Diagnosis
Fudan University researchers introduced DxFormer, a new automatic diagnostic framework in which each symptom is regarded as a token, formalizing symptom inquiry and disease...
A New Machine Learning Algorithm Classifies Sinonasal Tumors Based on DNA...
Scientists from Ludwig Maximilians University Hospital Munich, Germany have developed a new machine-learning method for classifying hard to diagnose sinonasal tumors. The DNA methylation...
Must Read
Teaching Genomics Made Easy: Meet eduomics, the Automated Omics Simulation Pipeline
When researchers at the Department of Biology and Biotechnology, the University of Pavia, set out to rethink bioinformatics teaching. They started from a simple...
Unlocking Cellular Mysteries with CellReasoner: A New AI Tool for Biologists
In the rapidly evolving field of single-cell biology, accurately identifying cell types from complex datasets remains a cornerstone of research. A team of scientists...
Minimal Data, Maximal Impact: The Future of Peptide Design with MDMI
Peptides, which are short chains of amino acids, have become increasingly important in the world of medicine and biotechnology. Their unique properties make them...
Can Machine Learning Finally Crack the Protein Expression Code?
A team of researchers from the University of Edinburgh and collaborators from institutions like Stanford and UC San Francisco have tackled a central question...
AlphaGenome: DeepMind’s New AI Model for Unlocking Genome Function
Imagine holding a book written in a language where only 2% of the pages contain clear instructions, while the remaining 98% seem like indecipherable...