Bioinformatics

Bioinformatics | GWAS | News | OMICS | Trending
Population-Based Analysis of Over 200,000 People Displays Strong Genetic Relationship with Multiple Cardiometabolic Diseases and Traits
ByDr. Tamanna Anwar February 28, 2022June 18, 2022
Researchers looked at data from over 200,000 people and discovered unusual genetic variations linked to diseases including diabetes and heart failure. Last year, the UK Biobank containing a large-scale collection of genetic and health information from half a million UK participants released additional protein sequence data (exome data). After analyzing whole-exome sequencing data from around…
Read More Population-Based Analysis of Over 200,000 People Displays Strong Genetic Relationship with Multiple Cardiometabolic Diseases and Traits
AI | Bioinformatics | Genomics | Health | News | NGS | Trending
Fastest DNA Sequencing that Uses AI and Accelerated Computing Sets Guinness World Record For Completing DNA Sequencing in Just Five Hours and Two Minutes
ByDr. Tamanna Anwar February 27, 2022June 18, 2022
Stanford University researchers established the record in collaboration with NVIDIA, Oxford Nanopore Technologies, Google, Baylor College of Medicine, and the University of California, Santa Cruz. This week, Guinness World Records awarded a Stanford University-led research team the first record for quickest DNA sequencing technology — a benchmark established utilizing a workflow enhanced by AI and…
Read More Fastest DNA Sequencing that Uses AI and Accelerated Computing Sets Guinness World Record For Completing DNA Sequencing in Just Five Hours and Two Minutes
Bioinformatics | Cancer Research | Drug Discovery | News | Tools
Simulating Directed Evolution With A New Computational Tool
ByDr. Tamanna Anwar February 26, 2022October 22, 2026
The researchers from Curtin University, Australia, and the University of Western Australia developed a system to carry out the complete process of directed evolution in silico. Thanks to revolutionary software that mimics evolution, the building blocks of life-saving treatments might be produced in days rather than years. According to the research published this week in…
Read More Simulating Directed Evolution With A New Computational Tool
Bioinformatics | Genomics | News | NGS | RNA-Seq | Trending
Entire Human Gut Mapped by Scientists at the Single-Cell Resolution
ByDr. Tamanna Anwar February 25, 2022June 18, 2022
Scientists from the University of North Carolina School of Medicine, led by Scott Magness, Ph.D., sequenced the genes expressed in single cells from human digestive tracts to discover new cell-type characteristics and learn more about essential cell functions like nutrient absorption and immune defense. You could feel uneasy in your tummy if you get nervous….
Read More Entire Human Gut Mapped by Scientists at the Single-Cell Resolution
Bioinformatics | Cancer Research | Drug Discovery | Machine Learning | News | OMICS | Sequencing
Scientists Applied Machine Learning to Predict Therapeutic Response in Gastric Cancer
ByDr. Tamanna Anwar February 24, 2022October 22, 2026
The researchers at the Mayo Clinic Cancer Center in Florida, in a recent study published in Nature Communications, validate the use of genetic sequencing to predict whether patients with gastric cancer would benefit from chemotherapy or immunotherapy. Gastric cancer is one of the significant reasons for cancer-related deaths worldwide. Most patients with gastric cancer receive…
Read More Scientists Applied Machine Learning to Predict Therapeutic Response in Gastric Cancer
AMR Alert | Antibiotic Resistance | Biotech | News | Structural Biology | Trending
Protein Structure of a Small Multidrug Resistance Transporter ‘EmrE’ Suggests the Drug-Resistance Mechanism
ByDr. Tamanna Anwar February 23, 2022June 18, 2022
A new research reveals how a protein removes harmful chemicals from bacterial cells. The structure of a protein that may pump hazardous chemicals out of bacterial cells has been identified by MIT researchers. Proteins like this one, discovered in E. coli, are thought to aid in developing antibiotic resistance in bacteria. Multidrug resistance (MDR) is…
Read More Protein Structure of a Small Multidrug Resistance Transporter ‘EmrE’ Suggests the Drug-Resistance Mechanism
AMR Alert | Antibiotic Resistance | Bioinformatics | Drug Discovery | News | Structural Biology
Scientists Discover How Superbugs Employ Mirror Images To Develop Antibiotic Resistance
ByDr. Tamanna Anwar February 22, 2022October 22, 2026
Scientists from the Duke University with collaborators at the University of Connecticut are aiming to create novel enzyme inhibitors to combat Methicillin-resistant Staphylococcus aureus (MRSA). The researchers revealed how a single small mutation affects therapeutic efficacy in a study published in PLOS Computational Biology. Antimicrobial resistance is an important public health issue worldwide. New resistance…
Read More Scientists Discover How Superbugs Employ Mirror Images To Develop Antibiotic Resistance
Bioinformatics | Cancer Research | Data Science | Drug Discovery | News | Structural Biology | Trending
Determining How Proteins Identify Their Binding Partners Inside Cells
ByDr. Tamanna Anwar February 21, 2022October 22, 2026
Scientists from MIT probed into how proteins recognize and bind to one another, informing drug treatments for cancer. A single cell, despite its small size, has billions of molecules that buzz around and bond to one another, performing critical tasks. About 20,000 proteins are encoded in the human genome, the majority of which interact with…
Read More Determining How Proteins Identify Their Binding Partners Inside Cells
Bioinformatics | Featured | News | OMICS | Paper Summary | RNA-Seq | Trending
INTEGRATE: A Computational Pipeline for Integrating Multi-Omics Data to Characterize Multi-Level Metabolic Regulation
BySwati Yadav February 20, 2022November 8, 2022
Scientists at The University of Milan-Bicocca, Milan, Italy, have proposed INTEGRATE, a computational pipeline that incorporates metabolomics and transcriptomics data, by applying constraint-based stoichiometric metabolic models as a scaffold. The pipeline might aid in developing personalized treatments for people suffering from complicated disorders. From cancer to neurodegeneration and aging, many physio-pathological states and multifactorial disorders…
Read More INTEGRATE: A Computational Pipeline for Integrating Multi-Omics Data to Characterize Multi-Level Metabolic Regulation
AI | Bioinformatics | Machine Learning | News | Trending
Machine Learning and Artificial Intelligence Based Study Helps Understand How Brain Cells Work
ByDr. Tamanna Anwar February 19, 2022June 18, 2022
Neurons are surprisingly complicated, for something so small, not only because there are billions of them in the brain but also because their function is impacted by a variety of factors such as their structure and genetic composition. A research group led by Daifeng Wang, professor at the University of Wisconsin–Madison, is using machine learning…
Read More Machine Learning and Artificial Intelligence Based Study Helps Understand How Brain Cells Work
AMR Alert | Antibiotic Resistance | Bioinformatics | Deep Learning | Machine Learning | News | Paper Summary
Scientists Develop a Deep Learning Model for Predicting Tuberculosis Drug Resistance from Genomic Sequence Data
BySwati Yadav February 18, 2022November 8, 2022
The Researchers at The University of Chicago, Chicago, developed 24 binary classifiers of MTB drug resistance condition across eight anti-MTB drugs and three different Machine Learning algorithms: logistic regression, random forest, and 1D CNN with the use of a training dataset of 10,575 MTB isolates obtained from 16 countries, where an extended pan-genome reference was…
Read More Scientists Develop a Deep Learning Model for Predicting Tuberculosis Drug Resistance from Genomic Sequence Data
Bioinformatics | COVID-19 | Covid-19 News | Database | Drug Discovery | Structural Biology | Trending
Scientists Discovered a New Protein Group that Serves Critical Function in Nature
ByDr. Tamanna Anwar February 17, 2022October 22, 2026
Researchers from Göttingen University have found a protein switch that controls enzymes in pathogens. An allosteric lysine–cysteine redox switch with a covalent NOS bridge modulates enzyme activity in response to redox changes. Proteins are the “workhorses” of all living cells and the chemical foundation of life. These little machines are required for performing various activities…
Read More Scientists Discovered a New Protein Group that Serves Critical Function in Nature
AI | Bioinformatics | Cancer Research | Deep Learning | Machine Learning | News | Trending
Artificial Intelligence Based Chemotherapy Response Prediction for Better and Personalized Breast Cancer Treatment
BySwati Yadav February 16, 2022November 8, 2022
Scientists from the York University, Toronto, Canada, investigated a novel deep learning-based methodology to predict breast cancer response to neo-adjuvant chemotherapy (NAC) using the quantitative ultrasound (QUS) multiparametric imaging at pre-treatment. Breast cancer is the most general type of cancer in women and the leading cause of cancer-related death. Locally advanced breast cancer (LABC) is…
Read More Artificial Intelligence Based Chemotherapy Response Prediction for Better and Personalized Breast Cancer Treatment
AI | Bioinformatics | Deep Learning | Machine Learning | News | Trending
Image2SMILES – A Transformer Based Neural Network Model for Extracting Chemical Formulas From Research Papers
ByDr. Tamanna Anwar February 15, 2022June 18, 2022
The researchers from Syntelly — a startup that originated at Skoltech — Lomonosov Moscow State University, and Sirius University present a Transformer-based artificial neural network that can turn images of organic structures into molecular templates. The model is capable of automatically detecting chemical formulae on research paper scans. The findings were published in Chemistry-Methods, that…
Read More Image2SMILES – A Transformer Based Neural Network Model for Extracting Chemical Formulas From Research Papers
Bioinformatics | Deep Learning | Machine Learning | News | Paper Summary | RNA-Seq | Tools | Trending
Predicting Cell Fates and Genetic Perturbations with a New Computational Tool – ‘Dynamo’
BySwati Yadav February 14, 2022November 8, 2022
The researchers from MIT Cambridge, USA, and collaborators at the University of Pittsburgh School of Medicine, present DYNAMO – an analytical framework that infers absolute RNA velocity, reconstruct continuous vector fields that predict cell fates, uses differential geometry to obtain underlying regulations, and anticipates optimal reprogramming routes and perturbation results. The capability of a single…
Read More Predicting Cell Fates and Genetic Perturbations with a New Computational Tool – ‘Dynamo’
Bioinformatics | Biotech | News | RNA-Seq | Sequencing
Scientists Have Discovered a New Process Implicated in Learning and Memory
ByDr. Tamanna Anwar February 13, 2022June 18, 2022
Researchers from the Rockefeller University, United States revealed that FMRP, a protein that has been linked to fragile X syndrome, intellectual impairment, and some types of autism, has been found to play a critical role in various brain activities, assisting in the regulation of synaptic connections between neurons. When we memorize a password or learn…
Read More Scientists Have Discovered a New Process Implicated in Learning and Memory
Bioinformatics | Biotech | News | NGS | Sequencing
Mapping the Development of Cell Types and Tissues
ByDr. Tamanna Anwar February 12, 2022June 18, 2022
Researchers at Yale University, in collaboration with Karolinska Institutet in Stockholm, Sweden, have created a technology that allows them to look at epigenetic mechanisms driving tissue formation concurrently at a spatial and genome-wide level, a breakthrough with several scientific and medical applications. While existing technology allows scientists to study epigenetic information in the bulk of…
Read More Mapping the Development of Cell Types and Tissues
Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | Machine Learning | Paper Summary | Trending
COVID-19 Phytochemical Drug Discovery with High-Resolution Computational Docking and Machine Learning Enabled Binder Prediction
BySwati Yadav February 11, 2022November 25, 2023
The researchers at Michigan State University in the United States used extensive structural datasets along with a refined and annotated collection of antiviral phytochemicals to determine which naturally derived medicines have the best chance of provoking strong binding interactions with SARS-CoV-2 proteins and thus preventing or disrupting the viral infection process. Millions of people have…
Read More COVID-19 Phytochemical Drug Discovery with High-Resolution Computational Docking and Machine Learning Enabled Binder Prediction
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Tools | Trending
Virtual Screening of Ultra-Large Chemical Libraries Accelerated up to 100-Fold with Artificial Intelligence Enabled ‘Deep Docking’
BySwati Yadav February 9, 2022October 22, 2026
Deep Docking (DD) is artificial intelligence (AI) driven method that provides very economical yet highly reliable access to ultra-large docking. It was developed by Scientists at the University of British Columbia, Vancouver, to address the global lack of computational docking power and to enable structure-based screening of chemical libraries having billions of molecules without using…
Read More Virtual Screening of Ultra-Large Chemical Libraries Accelerated up to 100-Fold with Artificial Intelligence Enabled ‘Deep Docking’
Bioinformatics | Biotech | News | Trending | Virus
Cells Hosting HIV Tracked Using a Mathematical Model
ByDr. Tamanna Anwar February 8, 2022June 18, 2022
A new study reveals the lifespans and locations of the cells that produce HIV and delay the virus’s elimination. Scientists may be able to discover new strategies to lower the number of cells in the future, with the ultimate objective of curing HIV infection, if they can better understand the dynamics of the cells. “When…
Read More Cells Hosting HIV Tracked Using a Mathematical Model
Bioinformatics | Biotech | Knowledge Graph | News | Sequencing | Trending
Top 7 Applications of Synthetic DNA in Information Technology
BySwati Yadav February 7, 2022November 8, 2022
Synthetic DNA is becoming a popular alternative to electronic-based technology in areas including data storage, product tagging, and signal processing, etc. To date, DNA has shown to be the ideal material for use in information technology. Watson–Crick base pairing is a fundamental feature of nucleic acids that provides the foundation for various DNA handling methods,…
Read More Top 7 Applications of Synthetic DNA in Information Technology
Bioinformatics | Genomics | News | Trending
Reassembling the Chromosomes of Earth’s First Creatures
ByDr. Tamanna Anwar February 6, 2022June 18, 2022
According to the latest research published this week in the journal Science Advances, many modern marine invertebrates, such as sponges and jellyfish, contain chromosomes with the same old structure acquired from their primordial ancestors more than 600 million years ago. The surprising discovery serves as a reminder that evolution is conservative, keeping things that operate…
Read More Reassembling the Chromosomes of Earth’s First Creatures
Bioinformatics | Database | Genomics | Knowledge Graph | News | OMICS | Proteomics
Interpreting Clinical Proteomics Data With A Knowledge Graph
BySwati Yadav February 4, 2022October 22, 2026
Researchers at the University of Copenhagen, Denmark, introduce the Clinical Knowledge Graph (CKG), an open-source platform with about 20 million nodes and 220 million relationships representing relevant experimental data, public databases, and literature. Evidence-based precision medicine has grown to include a more thorough examination of disease characteristics. This necessitates the seamless integration of a wide…
Read More Interpreting Clinical Proteomics Data With A Knowledge Graph
Bioinformatics | Corona Virus | Network Modeling | Structural Biology | Trending
Network Based Computer Modeling Revealed Omicron’s Mechanism of Escaping Antibodies
ByDr. Tamanna Anwar February 3, 2022June 18, 2022
According to a computational study carried out by researchers at MIT, several mutations in the virus’ spike protein enable it to dodge antibodies that target SARS-CoV-2. A new study published in the journal Cell Reports Medicine shows that the Omicron variant’s spike protein has dozens of mutations that let it elude all four types of…
Read More Network Based Computer Modeling Revealed Omicron’s Mechanism of Escaping Antibodies
AI | Bioinformatics | Corona Virus | Machine Learning | News | Tools | Trending
Artificial Intelligence Model Predicts in Seconds How Two Proteins Will Bind in Real-Time
ByDr. Tamanna Anwar February 2, 2022June 18, 2022
Researchers from MIT have developed a machine-learning model that can predict how two proteins bind, not in hours or minutes but just in a few seconds. Scientists may be able to use this machine-learning model to speed up the development of new drugs. Antibodies, which are small proteins generated by the immune system, can bind…
Read More Artificial Intelligence Model Predicts in Seconds How Two Proteins Will Bind in Real-Time
Bioinformatics | News | Paper Summary | RNA-Seq | Tools | Trending
CellRank: A Tool for Directed Single-Cell Fate Mapping
BySwati Yadav February 2, 2022November 8, 2022
Researchers from the Helmholtz Centre Munich, Germany, provide CellRank, a method for single-cell fate mapping in a variety of circumstances where the direction is unclear, such as regeneration, reprogramming, and disease. During numerous biological processes, cells go through state transitions in a highly asynchronous manner. Single-cell RNA sequencing (scRNA-seq) successfully captures the heterogeneity that comes…
Read More CellRank: A Tool for Directed Single-Cell Fate Mapping
Bioinformatics | Deep Learning | Drug Discovery | News | Paper Summary | Tools | Trending
HyperAttentionDTI: Combining Sequence-Based Deep Learning with an Attention Mechanism for Drug-Protein Interaction Prediction
BySwati Yadav February 1, 2022October 22, 2026
Researchers of Central South University, Changsha proposed an end-to-end bio-inspired model based on the convolutional neural network (CNN) and attention mechanism, named HyperAttentionDTI, for predicting drug-target interactions. In today’s world of biomedicine, drug discovery and repurposing are highly valued. Drug–target interactions (DTIs) are an essential part of drug discovery and repurposing. However, finding DTIs in…
Read More HyperAttentionDTI: Combining Sequence-Based Deep Learning with an Attention Mechanism for Drug-Protein Interaction Prediction
Bioinformatics | Cell | News | Paper Summary
Simulation of a Living Cell Enabled with NVIDIA GPUs
BySwati Yadav January 31, 2022September 8, 2022
GPU-accelerated software developed by the researchers at the University of Illinois at Urbana-Champaign simulates a 2-billion-atom cell that metabolizes and grows like a biological cell. Researchers present a whole-cell fully dynamical kinetic model that replicates the physical and chemical characteristics at a particle scale of a minimal living cell-JCVI-syn3A. The study of the simplest living…
Read More Simulation of a Living Cell Enabled with NVIDIA GPUs
Bioinformatics | Cloud Computing | Corona Virus | Data Science | News | OMICS | RNA-Seq | Sequencing | Virus
Cloud Computing Helps Researchers Identify Over 100,000 RNA Viruses Including Nine New Coronavirus Species
ByDr. Tamanna Anwar January 30, 2022September 8, 2022
A team of scientists led by a former University of British Columbia (UBC) postdoctoral researcher in medical genetics discovered over ten times the number of RNA viruses previously thought to exist, including many novel coronavirus species. By re-analyzing all publicly accessible RNA sequencing data, the researchers were able to make the finding. They established a…
Read More Cloud Computing Helps Researchers Identify Over 100,000 RNA Viruses Including Nine New Coronavirus Species
Bioinformatics | Cancer Research | Genomics | Metagenomics | News | OMICS | Sequencing | Trending
A New Sequencing Technique Developed for Low-Biomass, Degraded, or Contaminated Microbiome Samples
ByDr. Tamanna Anwar January 28, 2022September 8, 2022
A low-cost metagenome sequencing technology has been developed by scientists from the Chinese Academy of Sciences’ Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT). It allows high-resolution disclosure of a microbiome’s whole ‘landscape’ of species, even from low-biomass, damaged, or polluted samples. The ‘microbiome‘ is referred to a community of microorganisms (bacteria, fungi, protists, and…
Read More A New Sequencing Technique Developed for Low-Biomass, Degraded, or Contaminated Microbiome Samples
Bioinformatics | Biomedical Engineering | Cancer Research | Genomics | News | RNA-Seq | Sequencing | Trending
Safely Inserting Therapeutic Genes into the Human DNA
ByDr. Tamanna Anwar January 27, 2022September 8, 2022
Researchers from Harvard’s Wyss Institute, Harvard Medical School, and the ETH Zurich have predicted and validated genetic safe harbors for therapeutic genes, making gene and cell treatments safer, more efficient, more predictable. According to the researchers, “genomic safe harbors (GSHs)” could enhance the efficacy, persistence, and predictability of future gene and cell therapies that are…
Read More Safely Inserting Therapeutic Genes into the Human DNA
Bioinformatics | Cancer Research | Data Science | News | Paper Summary | RNA-Seq | Sequencing | Tools | Trending
Expanding the View of how Mutations Impact Cells with a High-throughput Approach ‘Perturb-seq’
BySwati Yadav January 26, 2022September 8, 2022
Scientists from the Broad Institute of MIT and Harvard discovered an approach to studying the functional implications of the millions of mutations linked to cancer by pooling Perturb-seq and measuring the impact of TP53 and KRAS variants on RNA profiles in single cancer cells. Precision medicine entails predicting how specific genetic variants affect a patient’s…
Read More Expanding the View of how Mutations Impact Cells with a High-throughput Approach ‘Perturb-seq’
Bioinformatics | News | Structural Biology | Trending | Virus
EMBL’s Scientists Modeled Molecular Complexes Inside Cells at Atomic Resolution Using Modern Software and Cryo-electron Tomography
ByDr. Tamanna Anwar January 26, 2022November 9, 2022
To better comprehend the function of cells, scientists examine how different components of a cell – from single molecules to several organelles – work in synchronization. They studied individual molecules using classic structural biology tools, honing individual atoms. However, this method yields only static photographs of molecules in most circumstances. Instead, the scientists used cryo-electron…
Read More EMBL’s Scientists Modeled Molecular Complexes Inside Cells at Atomic Resolution Using Modern Software and Cryo-electron Tomography
Bioinformatics | Biotech | News | Sequencing | Trending
‘Valves in DNA’ Created to Shape the Flow of Biological Information
ByDr. Tamanna Anwar January 25, 2022June 18, 2022
New biological components developed by scientists at the University of Bristol can alter the flow of cellular activities along DNA. The scientists provide new insights into how information is encoded in DNA and new tools for developing sustainable biotechnologies, in the research published in the journal Nature Communications. Transcriptional terminators tell RNA polymerases (RNAPs) when…
Read More ‘Valves in DNA’ Created to Shape the Flow of Biological Information
Bioinformatics | Biotech | News | Systems Biology | Trending
‘Lab on a Chip’ for Measuring Protein-DNA Interactions
ByDr. Tamanna Anwar January 24, 2022November 4, 2022
Cornell researchers have invented new nanophotonic tweezers that can fit on a smaller than one-inch square chip, making it easier and more efficient to control single molecules using light to study biological systems. In a paper published in Nature Communications, Michelle Wang, the James Gilbert White Distinguished Professor in Physical Sciences in the College of…
Read More ‘Lab on a Chip’ for Measuring Protein-DNA Interactions
Bioinformatics | Machine Learning | News | Structural Biology | Tools | Trending
Genome-Scale Protein Structure and Function Prediction with High-Performance Computing Toolkit
ByDr. Tamanna Anwar January 23, 2022November 4, 2022
A group of scientists from the Department of Energy’s Oak Ridge National Laboratory (ORNL) and the Georgia Institute of Technology applied supercomputing and new deep learning technologies (Google’s DeepMind) to anticipate the structures and functions of an organism’s whole proteome. The deep learning-based algorithms developed by the team predict protein structure and function from DNA…
Read More Genome-Scale Protein Structure and Function Prediction with High-Performance Computing Toolkit
Bioinformatics | Machine Learning | News | Paper Summary | Structural Biology | Trending
Modeling Protein Fitness Using Evolutionary and Assay-Labeled Data
BySwati Yadav January 23, 2022November 2, 2023
Scientists from the University of California, Berkeley have developed a machine learning-based model that predicts protein fitness from the sequence. Protein fitness is a broad term that includes a wide range of protein properties, such as stability, enzyme activity, and ligand binding. Models of protein fitness based on machine learning typically learn from either unlabeled,…
Read More Modeling Protein Fitness Using Evolutionary and Assay-Labeled Data
Bioinformatics | Genomics | News | Systems Biology | Trending
iDIRECT – A Framework for Analyzing Network Interactions in Various Complex Biological Systems
ByDr. Tamanna Anwar January 22, 2022June 18, 2022
Scientists from the University of Oklahoma and University of California at Berkeley have developed a framework iDIRECT (Inference of Direct and Indirect Relationships with Effective Copula-based Transitivity) for disentangling direct and indirect relationships in association networks. Despite the importance of networks in understanding the behavior and features of complex systems, recreating networks from large-scale experimental…
Read More iDIRECT – A Framework for Analyzing Network Interactions in Various Complex Biological Systems
Bioinformatics | Biotech | Machine Learning | News | Structural Biology | Trending
Structure Modeling with a New Method Mapped 500 Previously Unsolved Proteins
ByDr. Tamanna Anwar January 20, 2022June 18, 2022
Pathogens employ virulence factors called effectors, which are critical for their survival. Homology modeling is one of the most extensively used approaches; however, it necessitates the usage of templates of solved effector structures, and solving all of them is far too difficult. There are just too many effector proteins encoded in pathogen genomes for each…
Read More Structure Modeling with a New Method Mapped 500 Previously Unsolved Proteins
Bioinformatics | Biotech | Genomics | News | Sequencing
The Earth BioGenome Project Steadily Started Sequencing Genomes
ByDr. Tamanna Anwar January 19, 2022June 18, 2022
A worldwide endeavor to map the genomes of all life on Earth (plants, animals, fungi, and other microbes) is entering a new phase as it proceeds from pilot studies to full-scale production sequencing. The Earth BioGenome Project (EBP) has entered a new phase, as evidenced by a group of articles published this week in Proceedings…
Read More The Earth BioGenome Project Steadily Started Sequencing Genomes
Bioinformatics | Data Science | Genomics | Health | News | OMICS | Trending
Metagenomics of Human Skin Microbiome Identifies New Bacteria and Viruses
ByDr. Tamanna Anwar January 15, 2022June 18, 2022
Scientists from EMBL-EBI, NIH, NHGRI, and collaborators have discovered new micro-organisms (bacterial, fungal species, and viruses) in the human skin microbiome. The human skin microbiome is essential for skin health and illness, and studying its makeup might help us better understand skin-related diseases. Researchers employed metagenomics to create new human skin microbiome reference genomes. Data…
Read More Metagenomics of Human Skin Microbiome Identifies New Bacteria and Viruses
AI | Bioinformatics | Data Science | Drug Discovery | Machine Learning | News | Structural Biology
Deep Learning Based DNA and RNA Binding Sites Prediction for Accelerated Drug Discovery
ByDr. Tamanna Anwar January 14, 2022October 22, 2026
Targeting nucleic acid macromolecules, particularly RNA, for structure-based drug design (SBDD) is gaining research attention as it resulted in several FDA-approved compounds targeting RNA molecules. Scientists from Skoltech’s iMolecule group have created an artificial intelligence-driven approach, “BiteNetN,” to identify sites on the structures of DNA or RNA molecules where drug compounds may bind. The drug-binding…
Read More Deep Learning Based DNA and RNA Binding Sites Prediction for Accelerated Drug Discovery
Bioinformatics | Genomics | News | OMICS | Tools
Multi-omics Data Visualization and Chromosomes Annotation with an R Package “ChromoMap”
ByDr. Tamanna Anwar January 14, 2022June 18, 2022
ChromoMap is a fast and easy-to-use tool for visualizing genomic elements and related data (such as multi-omics data) in relation to their chromosome-by-chromosome occurrence for any genome assembly. ChromoMap provides customizable displays that allow for the comparison of data individually connected with each strand of a specific chromosome, as well as homologous chromosomes of any…
Read More Multi-omics Data Visualization and Chromosomes Annotation with an R Package “ChromoMap”
AI | Bioinformatics | Featured | Health | Machine Learning | News
Early Stage Bronchial Asthma Diagnosis with Artificial Intelligence
ByDr. Tamanna Anwar January 13, 2022June 18, 2022
Scientists from Ben-Gurion University, Israel, have developed a method for computer-aided diagnostics of bronchial asthma based on machine learning. The model is trained using the audio file data, including respiratory sound records from healthy and asthmatic patients. The AI-based method developed for bronchial asthma diagnostics predicts with a high accuracy rate: “sensitivity of 89.3%, specificity…
Read More Early Stage Bronchial Asthma Diagnosis with Artificial Intelligence
Bioinformatics | Gene Expression | Machine Learning | News | RNA-Seq | Trending
Pregnancy Health and Preeclampsia Prediction Using RNA Sequencing from a Single Blood Sample
ByDr. Tamanna Anwar January 11, 2022June 18, 2022
Using cell-free RNA (cfRNA), researchers discovered gene expression patterns linked to a healthy pregnancy. Conception to birth is a fast-paced period of growth and development that necessitates significant changes in maternal physiology that are currently unknown. Due to ethical limitations, research into human pregnancy is limited, and existing animal models are of little utility. Pre-eclampsia…
Read More Pregnancy Health and Preeclampsia Prediction Using RNA Sequencing from a Single Blood Sample
AI | AMR Alert | Bioinformatics | Covid-19 News | Machine Learning | News | OMICS | Trending
AI Driven Analysis of Cell Diversity in Drosophila melanogaster Brain
ByDr. Tamanna Anwar January 11, 2022June 18, 2022
The research published in Nature combines single-cell technologies and artificial intelligence (AI) to create a new picture of gene regulation in all the fruit fly’s brain cells. The researchers utilized deep learning to discover how certain sections of DNA influence neuronal identity from birth to adulthood. The Nature study will likely boost AI-driven biomedical research,…
Read More AI Driven Analysis of Cell Diversity in Drosophila melanogaster Brain
AI | Bioinformatics | Covid-19 News | Genomics | Machine Learning | News | Precision Medicine | Trending
Transforming DNA-Repair Visualization by Machine Learning Coupled High-Throughput Microscopy
ByDr. Tamanna Anwar January 11, 2022June 18, 2022
Machine learning may aid in repairing genetic damage and avoiding DNA mutations and chronic diseases. Scientists from Massachusetts General Hospital and the National Cancer Research Centre have created novel methods for seeing DNA repair in detail, using machine learning and high-throughput microscopy, and have discovered new repair proteins. The results might open the path for…
Read More Transforming DNA-Repair Visualization by Machine Learning Coupled High-Throughput Microscopy
Bioinformatics | Covid-19 News | Data Science | Trending
spiralize: R package to visualize data on spirals
ByDr. Tamanna Anwar January 2, 2022June 18, 2022
For data visualization, the spiral arrangement offers two significant advantages. Firstly, data with long axes can be visualized, enhancing visualization resolution. Secondly, time-series data may be used to reveal recurring patterns. spiralize is an R package that offers a generic solution for displaying data on spirals. It has many graphics functions that allow users to…
Read More spiralize: R package to visualize data on spirals
Bioinformatics | Corona Virus | Featured | Trending
SARS-CoV-2 Mechanism of Evading Immune System Revealed
ByDr. Tamanna Anwar December 30, 2021October 22, 2026
The mechanism used by SARS-CoV-2 to escape the host immune system has been revealed by scientists from Hokkaido University, Japan and Texas A&M University, US. According to researchers from Japan and the United States, an important biochemical pathway connected to an immune complex termed MHC class I is knocked out by SARS-CoV-2 in order to…
Read More SARS-CoV-2 Mechanism of Evading Immune System Revealed

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Bioinformatics

Simulating Directed Evolution With A New Computational Tool

Scientists Applied Machine Learning to Predict Therapeutic Response in Gastric Cancer

Scientists Discover How Superbugs Employ Mirror Images To Develop Antibiotic Resistance

Scientists Develop a Deep Learning Model for Predicting Tuberculosis Drug Resistance from Genomic Sequence Data

Scientists Have Discovered a New Process Implicated in Learning and Memory

Mapping the Development of Cell Types and Tissues

Interpreting Clinical Proteomics Data With A Knowledge Graph

Simulation of a Living Cell Enabled with NVIDIA GPUs

Cloud Computing Helps Researchers Identify Over 100,000 RNA Viruses Including Nine New Coronavirus Species

The Earth BioGenome Project Steadily Started Sequencing Genomes

Deep Learning Based DNA and RNA Binding Sites Prediction for Accelerated Drug Discovery

Multi-omics Data Visualization and Chromosomes Annotation with an R Package “ChromoMap”

Early Stage Bronchial Asthma Diagnosis with Artificial Intelligence

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