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...
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...
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...
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...
Scientists Decipher the Molecular Subsets Involved in Brain Metastases of Melanoma
Researchers used a multi-OMICS technique and targeted sequencing (TargetSeq) to identify the processes that may govern the progression of brain metastases. Regardless of intracranial...
RNAlysis: a Gateway into RNA Sequencing Data Analysis for Less Computer-savvy...
Qualitative data analysis, understanding patterns, finding possible targets/candidates, and intuitively displaying the results are among the crucially difficult aspects of next-generation sequencing experiments. These...
Meet AlphaPeptDeep: a Deep Learning Framework for Predicting Peptide Properties from...
A research team led by Professor Matthias Mann from the Max Planck Institute of Biochemistry has developed AlphaPeptDeep. AlphaPeptDeep is a Python framework built...
ExpressionGAN: Generating Long Designer DNA Sequences On-Demand With Deep Learning
A new deep learning method developed by a team of researchers at Chalmers can generate regulatory DNA sequences that control gene expression in a...
Enhancing the Comprehensive Diagnosis of Neonatal Infectious Diseases Through Metagenomic Next-Generation...
Scientists from Xi’an Children’s Hospital have shown that metagenomic next-generation sequencing (mNGS) of cell-free DNA (cfDNA) and RNA may help detect trace infections from...
Scientists Develop Novel Machine Learning Models to Predict Comorbidities at an...
Researchers at AstraZeneca and Ono Pharmaceuticals sought to create a model that could predict the likelihood that individuals with Type 2 Diabetes Mellitus (T2DM)...
Scientists Created a High-Resolution Global Map of Clinically Relevant Antimicrobial Resistance...
Researchers from the University of Antwerp screened 17939 assembled metagenomic samples from 21 different biomes, varying in sequencing quality and depth, over 46 countries,...
Multi-platform Universal Single-cell RNAseq Data Processing Pipeline – UniverSC
Scientists at the Center for Integrative Medical Sciences Yokohama, Japan, designed a platform-independent application to run UniverSC, a wrapper for the 10X Genomics CellRanger program that...
Scientists Developed a Novel AI Blood Test ‘DELFI’ for Early Detection...
Johns Hopkins Kimmel Cancer Center researchers developed and used artificial intelligence blood testing technology. The new blood testing technology detected liver cancer in more...
FASSO: An AlphaFold-based Method Combines Sequence and Structure Orthology to Assign...
AlphaFold, a machine learning system developed by Google DeepMind, can predict the three-dimensional structures of proteins with unprecedented accuracy, leading to a better understanding...
Smartwatch ECG Signals Transformed into Diagnostic Tools for Heart Failure using...
A new study published by researchers at the Mayo Clinic has shown that a smartwatch ECG can accurately detect heart failure in nonclinical environments....
Must Read
45 Days Hands-on Skill Development Summer Training/Internship on “From Base Pairs to Big Data:...
Are you ready to transform your understanding of bioinformatics and gain hands-on experience with cutting-edge tools and technologies? The Centre of Bioinformatics Research & Technology...
Vision Transformers: A New Era in Protein-Ligand Affinity Prediction
Predicting how tightly a drug molecule (ligand) binds to its protein target is a cornerstone of modern drug discovery. Yet, this task remains a...
Building Better Models: How AI and Experimentation Shape GPCR Research in AlphaFold Era
The GPCR Dock competitions are a set of community-wide evaluations of ligand docking and computational structural modeling for G protein-coupled receptors, a key class...
Fast, Accurate, and Flexible: How FLOWR is Transforming Molecular Design
In a recent breakthrough in AI-driven drug discovery, researchers from Pfizer, AstraZeneca, and Chalmers University unveiled a new generative framework called FLOWR, designed to...
Designer Miniproteins: New Frontier in GPCR-Targeted Drug Development
G protein-coupled receptors (GPCRs) are essential membrane proteins with dynamic conformations that are also major targets for drug development and discovery. However, designing protein...