Bioinformatics | Data Science | Featured | Genomics | News | NGS | Sequencing | Tools | Trending

Scientists Use CRISPR Technology and Perturb-seq to Map Every Human Gene to its Function
ByDr. Tamanna Anwar June 11, 2022June 18, 2022

Scientists from Whitehead Institute and collaborators used Perturb-seq, a single-cell sequencing technology, to link every expressed gene in the human genome to its function in the cell, offering a free resource for other researchers that can be accessed via the internet. The Human Genome Project was a huge undertaking that aimed to sequence every single…

Read More Scientists Use CRISPR Technology and Perturb-seq to Map Every Human Gene to its Function
Bioinformatics | Drug Discovery | Machine Learning | Network Modeling | Neural Network | News | Paper Summary | Trending

Scientists Develop a Novel Probabilistic Generative Model ‘RaptGen’ for Aptamer Generation
ByDr. Tamanna Anwar June 10, 2022October 22, 2026

Scientists from the Graduate School of Advanced Science and Engineering at Waseda University, Japan, developed RaptGen, a variational autoencoder for in silico aptamer generation. RaptGen takes advantage of a profile hidden Markov model decoder to address motif sequences efficiently. The model could accelerate nucleic-acid-based therapeutics. Nucleic acid aptamers are created by an in vitro molecular evolution…

Read More Scientists Develop a Novel Probabilistic Generative Model ‘RaptGen’ for Aptamer Generation
Bioinformatics | Chronic Diseases | Computer Vision | Health | Machine Learning | News | Precision Medicine | Tools | Trending

Scientists Develop a New Computer Vision Model with Improved Proficiency to Differentiate Rheumatoid Arthritis from Osteoarthritis in Damaged Joint Tissue
ByDr. Tamanna Anwar June 9, 2022June 18, 2022

Hospital for Special Surgery (HSS) researchers in New York City have developed a computer vision tool that effectively identifies rheumatoid arthritis (RA) from osteoarthritis (OA) in joint tissue collected from patients who had total knee replacements (TKR). The findings show that the new computer vision model with improved proficiency to differentiate rheumatoid arthritis from osteoarthritis…

Read More Scientists Develop a New Computer Vision Model with Improved Proficiency to Differentiate Rheumatoid Arthritis from Osteoarthritis in Damaged Joint Tissue
Bioinformatics | News | Paper Summary | Structural Biology | Tools | Trending

ColabFold: A Freely Accessible Protein Folding Tool for Accelerated Prediction of Protein Structures and Complexes
ByTanveen Kaur June 8, 2022February 5, 2024

Scientists have developed ColabFold, an open-source software to accelerate the prediction of protein structures as well as complexes by integrating fast homology search of MMseqs2 with AlphaFold2 or RoseTTAFold. ColabFold offers a sped-up prediction of protein structures and complexes by consolidating the fast homology search of MMseqs2 with AlphaFold2 or RoseTTAFold. The 40−60-overlap quicker search…

Read More ColabFold: A Freely Accessible Protein Folding Tool for Accelerated Prediction of Protein Structures and Complexes
Bioinformatics | Computational Models | Health | Machine Learning | News | Proteomics | Trending

Scientists Discover New Mass Spectrometry-Based Proteomics Method For Early Detection of Liver Diseases
ByDr. Tamanna Anwar June 7, 2022October 22, 2026

Through mass spectrometry-based proteomics, a German-Danish research team led by Matthias Mann has developed a new screening tool to identify alcohol-related liver disorders at an early stage. Taking two or three drinks every day may put your liver in trouble. Researchers have developed a new tool that uses proteomics and machine learning to predict whether…

Read More Scientists Discover New Mass Spectrometry-Based Proteomics Method For Early Detection of Liver Diseases
Bioinformatics | Cancer Research | Computational Models | Drug Discovery | News | Trending

Scientists Develop a Novel Approach for Early Disease Diagnosis Using DNA Droplets
ByDr. Tamanna Anwar June 6, 2022October 22, 2026

Scientists at Tokyo Tech have produced computational DNA droplets that can recognize specific patterns in tumor biomarker microRNA sequences by merging the technologies of DNA droplets and DNA computing. When integrated into biomolecular robots and artificial cells, the technology will have potential applications in cancer diagnosis, drug resistance analysis, and residual tumor detection. DNA droplets…

Read More Scientists Develop a Novel Approach for Early Disease Diagnosis Using DNA Droplets
Cancer Research | Drug Discovery | News | Structural Biology | Trending

Scientists Discover How Protein Production is Regulated to Keep the Cells Healthy
ByDr. Tamanna Anwar June 1, 2022October 22, 2026

Scientists from Cold Spring Harbor Laboratory (CSHL) have discovered a key process which shows how protein production is regulated to keep the cells healthy. Scientists believe that this mechanism is common in many different species and that it could one day aid in the creation of new microRNA-based medical therapeutics. Proteins are made in cells…

Read More Scientists Discover How Protein Production is Regulated to Keep the Cells Healthy
Bioinformatics | Cancer Research | News | NGS | Paper Summary | Precision Medicine | Trending

PGDx Elio Tissue Complete – An Automated and FDA-Approved Clinical Genomics Assay for Comprehensive Genomic Profiling of Human Cancer
ByTanveen Kaur May 30, 2022November 9, 2022

PGDx Elio tissue complete, which the FDA has approved for the analysis of 505 cancer-related genes, will enable the development of more effective precision oncology treatment options. The researchers from Personal Genome Diagnostics Inc. (PGDx) explain the developmental and analytical validation processes of the PGDx elio tissue complete test. It is an automated NGS-based approach…

Read More PGDx Elio Tissue Complete – An Automated and FDA-Approved Clinical Genomics Assay for Comprehensive Genomic Profiling of Human Cancer
Antibiotic Resistance | Biotech | Drug Discovery | News | Trending

Scientists Identify New Mechanism in Small Peptide that Shows Huge Potential to Treat Antibiotic-Resistant Bacteria
ByDr. Tamanna Anwar May 28, 2022October 22, 2026

Scientists used neutrons to learn more about how aurein 1.2, an antimicrobial peptide (AMP) that attacks bacteria’s membranes, kills antibiotic-resistant bacteria. The research will be crucial in identifying and developing more efficient and cost-effective AMPs. Antibiotic drugs have saved countless lives by preventing and treating bacterial infections since the discovery of penicillin more than 90…

Read More Scientists Identify New Mechanism in Small Peptide that Shows Huge Potential to Treat Antibiotic-Resistant Bacteria
AI | Bioinformatics | Deep Learning | News | RNA-Seq | Trending

Scientists Employ RNA Velocity and Deep Learning to Study Gene Regulation Dynamics During Cell Cycle
ByTanveen Kaur May 27, 2022November 9, 2022

Scientists have developed DeepCycle, a deep learning approach combined with RNA velocity to reveal cell cycle gene regulation. This methodology is particularly appropriate to study the interplay of the cell cycle with pluripotency and cell reprogramming. The method could lead to the discovery of cell-cycle dysregulated mechanisms in malignancies, as well as prospective therapeutic targets. Even…

Read More Scientists Employ RNA Velocity and Deep Learning to Study Gene Regulation Dynamics During Cell Cycle
Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | Drug Discovery | News | Structural Biology | Trending

Scientists Develop Hybrid Molecules by Drug Repurposing in an Effort to Design New Drugs to Treat Covid-19
ByDr. Tamanna Anwar May 26, 2022October 22, 2026

Controlling the spread of the highly contagious disease and protecting human health requires developing new medications that stay effective against growing COVID-19 variations. After spending more than two years studying SARS-CoV-2, the virus that causes COVID-19, the researchers at the Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL) are designing and testing small-molecule antivirals…

Read More Scientists Develop Hybrid Molecules by Drug Repurposing in an Effort to Design New Drugs to Treat Covid-19
Biotech | Chronic Diseases | Health | News | Trending

Researchers Identify Blood Biomarker that can Predict Onset of Crohn’s Disease Years Before Diagnosis
ByDr. Tamanna Anwar May 25, 2022June 18, 2022

A team led by the University of Toronto researcher discovered that a blood antibody can predict severe Crohn’s disease up to seven years before the disease is diagnosed. Crohn’s disease is a chronic inflammatory bowel illness for which simple and effective biomarkers are missing prior to diagnosis. It roughly affects 0.3 percent of the global…

Read More Researchers Identify Blood Biomarker that can Predict Onset of Crohn’s Disease Years Before Diagnosis
AI | Bioinformatics | Drug Discovery | Facts | Machine Learning | Trending

The Future of Medicine is Here: Top Tech Transforming Drug Discovery
ByAnjali Soni May 24, 2022October 22, 2026

The advent of technological advances such as artificial intelligence (AI), machine learning (ML), automation, robotics, etc., has accelerated the pace of drug discovery as well as the constancy maintained by the automated procedure reduces human errors and provides improved data quality. The goal of drug discovery and development is to bring new medicines to patients…

Read More The Future of Medicine is Here: Top Tech Transforming Drug Discovery
Bioinformatics | Genomics | News | Sequencing | Trending | Virus

First Draft of Monkeypox Virus Genome Sequenced from Current Outbreak Patient
ByDr. Tamanna Anwar May 24, 2022June 18, 2022

In a quest to understand why the monkeypox virus, which is a less lethal relative of smallpox, has infected so many people around the world, the scientists have sequenced its genome. The first draft genome sequence of the monkeypox virus was released recently, derived from a swab of a confirmed case of the current outbreak….

Read More First Draft of Monkeypox Virus Genome Sequenced from Current Outbreak Patient
Bioinformatics | News | NGS | RNA-Seq | Sequencing | Trending

Resistance Genes Identified can Predict Response to Arthritis Treatment and Lays Foundation for Future Drug Development
ByDr. Tamanna Anwar May 22, 2022June 18, 2022

Researchers from the Queen Mary University of London have shown that molecular profiling of diseased joint tissue can significantly impact whether specific medication treatments will work to treat rheumatoid arthritis (RA) patients. The researchers also discovered certain genes linked to resistance to most available medications, a condition known as refractory illness, which could lead to…

Read More Resistance Genes Identified can Predict Response to Arthritis Treatment and Lays Foundation for Future Drug Development
Algorithm | Bioinformatics | Genomics | Machine Learning | News | NGS | Sequencing | Tools | Trending

‘BWA-MEME’ – Machine Learning-Based Short Read Alignment Algorithm to Speed up DNA Sequencing
ByDr. Tamanna Anwar May 21, 2022June 18, 2022

The algorithm is the first full-fledged machine learning-based short read alignment algorithm to speed up DNA sequencing, that efficiently uses learned indices to solve the exact match search issue for efficient seeding. The human genome is made up of a whole set of DNA that is around 6.4 billion letters long. Reading the entire genome…

Read More ‘BWA-MEME’ – Machine Learning-Based Short Read Alignment Algorithm to Speed up DNA Sequencing
Biomedical Engineering | Corona Virus | COVID-19 | Health | News | Trending

Researchers Introduce a Smartphone-Powered Microchip for Medical Diagnostic Testing at Home
ByDr. Tamanna Anwar May 20, 2022June 18, 2022

Researchers at the University of Minnesota developed a new microfluidic chip that can identify viruses, pathogens, bacteria, and other biomarkers in liquid samples. A research team from the University of Minnesota has developed a new microfluidic chip for disease diagnosis with few components and can be driven wirelessly by a smartphone. The breakthrough discovery opens…

Read More Researchers Introduce a Smartphone-Powered Microchip for Medical Diagnostic Testing at Home
Bioinformatics | Cancer Research | Computational Models | Gene Expression | Machine Learning | News | OMICS | Paper Summary | Trending

Scientists Develop a Machine Learning-Based Framework to Identify Shared and Disease-Specific Host Gene-Microbiome Associations Across Human Diseases
ByTanveen Kaur May 20, 2022December 28, 2022

Scientists from the University of Minnesota, Minneapolis, USA, with their collaborators, developed a machine learning framework for a multi-omic integration to identify the shared and disease-specific host gene microbiome associations across human diseases. They identified the associations between gut microorganisms and host genes that portray shared as well as disease explicit patterns. While gut microbiome…

Read More Scientists Develop a Machine Learning-Based Framework to Identify Shared and Disease-Specific Host Gene-Microbiome Associations Across Human Diseases
AI | Bioinformatics | Cancer Research | Deep Learning | Machine Learning | News | Paper Summary | Tools | Trending

‘CancerVar’ – A New Machine Learning Empowered Tool to Interpret Somatic Variants in Cancer
ByTanveen Kaur May 18, 2022November 9, 2022

CancerVar leverages machine learning frameworks to evaluate the potential relevance of somatic cancer mutations in terms of cancer diagnosis, prognosis, and targetability, in addition to simply discovering them. Researchers at Children’s Hospital of Philadelphia (CHOP) developed CancerVar, a novel machine learning empowered tool to interpret somatic variants in cancer. CancerVar can be accessed either as…

Read More ‘CancerVar’ – A New Machine Learning Empowered Tool to Interpret Somatic Variants in Cancer
AI | Bioinformatics | Biomedical Engineering | Machine Learning | News | Trending

Enzyme Engineered by Structure-Based Machine Learning Degrades Plastic Waste in Hours to Days
ByDr. Tamanna Anwar May 17, 2022June 18, 2022

A team of scientists and engineers at the University of Texas at Austin created an enzyme that could break down environmentally damaging polymers in hours to days instead of centuries. The breakthrough discovery published in Nature could help to tackle one of the world’s most important environmental issues: how to deal with the billions of…

Read More Enzyme Engineered by Structure-Based Machine Learning Degrades Plastic Waste in Hours to Days
Biotech | News | Structural Biology | Trending

Researchers Puzzled by the Structure of Key Protein Implicated in Cell Division
ByDr. Tamanna Anwar May 16, 2022June 18, 2022

Researchers from the Max Planck Institute reveal the first 3D image of the CCAN protein complex and highlight basic questions about the development of artificial chromosomes. At the heart of human cell division are hundreds of proteins. Understanding how our genetic material is reproduced and transmitted down through generations requires understanding the 3D structure of…

Read More Researchers Puzzled by the Structure of Key Protein Implicated in Cell Division
Bioinformatics | Deep Learning | Neural Network | News | Paper Summary | Tools | Trending

‘DeepRank’ – A Deep Learning Framework for Data Mining Protein-Protein Interfaces Using 3D Convolutional Neural Networks
ByTanveen Kaur May 16, 2022November 9, 2022

Scientists formulate a deep learning framework, DeepRank, for the data mining of 3D protein-protein interfaces. They demonstrated the efficiency and readiness of DeepRank on two unique difficulties in structural biology. 3D structures of protein complexes give essential data to decipher biological processes at the molecular scale. The huge measure of experimentally and computationally resolved protein-protein…

Read More ‘DeepRank’ – A Deep Learning Framework for Data Mining Protein-Protein Interfaces Using 3D Convolutional Neural Networks
AI | Bioinformatics | Computational Models | Covid-19 News | Deep Learning | Machine Learning | Neural Network | News | Paper Summary | Structural Biology | Trending

A Novel Parallel Graph Neural Networks Based Method for Decoding Protein-Ligand Interactions
ByTanveen Kaur May 14, 2022November 9, 2022

A deep learning-based method for predicting the biophysical and biochemical features of protein-ligand complexes developed by researchers could help discover new drug candidates. Scientists formulate novel parallel graph neural networks for decoding protein-ligand interactions. This methodology can serve as an interpretable and explainable artificial intelligence (AI) tool for predicted activity, potency, and biophysical properties of…

Read More A Novel Parallel Graph Neural Networks Based Method for Decoding Protein-Ligand Interactions
Bioinformatics | Biotech | Corona Virus | COVID-19 | Covid-19 News | News | Trending

SARS-CoV-2 Delta Variant’s Unique Binding Leads to High Transmissibility
ByDr. Tamanna Anwar May 13, 2022June 18, 2022

The National Institutes of Health’s discovery could lead to new approaches to tackle future SARS-CoV-2 variants. According to a study by experts at the National Institutes of Health, unlike other SARS-CoV-2 variants, the Delta variant can bind to copies of itself, generating larger aggregations, or clumps, of virus particles. According to the researchers, this connecting…

Read More SARS-CoV-2 Delta Variant’s Unique Binding Leads to High Transmissibility
AMR Alert | Antibiotic Resistance | Bioinformatics | Metagenomics | News | NGS | Sequencing | Trending

Impact of Antibiotics on the Evolution of Gut Microbiome and Antimicrobial Resistance
ByDr. Tamanna Anwar May 13, 2022June 18, 2022

Following a single antibiotic course, the researchers discover how gut commensals acquire antimicrobial resistance genes (ARGs). According to the researchers, a single round of antibiotics may be enough to drive ARG acquisition and occurrence in gut commensals throughout the duration of a mammalian lifetime. Antibiotics are frequently used to treat infections and ensure surgical treatments…

Read More Impact of Antibiotics on the Evolution of Gut Microbiome and Antimicrobial Resistance
AI | Bioinformatics | Biomedical Engineering | Blog | Cancer Research | Education | Facts | Featured | Health | Machine Learning | Trending

Top 10 Applications of Artificial Intelligence in Healthcare
ByAnjali Soni May 11, 2022December 28, 2022

Top 10 Applications of Artificial Intelligence in Healthcare in 2022 and Beyond The healthcare industry has always been one of the leaders in using technology to make lives better and more efficient. Artificial intelligence (AI) in healthcare has started to enter the market, but it’s not just used as an additional tool — it’s transforming…

Read More Top 10 Applications of Artificial Intelligence in Healthcare
Biomedical Engineering | Health | Neural Network | News | Trending

A Smartphone App for Screening Neurological Disease at Home
ByDr. Tamanna Anwar May 9, 2022June 18, 2022

The RGB selfie camera and the front-facing near-infrared camera equipped for facial recognition can be used to capture an image of the eye. The results of this imaging could be utilized to determine the user’s cognitive condition. Scientists at the University of California, San Diego, have created a smartphone app to help patients screen for…

Read More A Smartphone App for Screening Neurological Disease at Home
Biomedical Engineering | News | Tools | Trending

Scientists Engineered a New Tool to Precisely Switch Gene Expression ‘On’ and ‘Off’
ByDr. Tamanna Anwar May 5, 2022February 3, 2024

Scientists have developed a new approach for harnessing electrical signals to turn genes on and off. A team led by Imperial College London experts has created a new way for precisely altering gene expression by adding and withdrawing electrons. Experts from Imperial College’s Departments of Chemistry, Life Sciences, and Bioengineering, the Imperial College Translation &…

Read More Scientists Engineered a New Tool to Precisely Switch Gene Expression ‘On’ and ‘Off’
AI | Bioinformatics | Machine Learning | News | Paper Summary | Precision Medicine | Trending

A Systems Genomics Approach to Identify Hidden Genetic Connections for Precision Medicine
ByTanveen Kaur May 4, 2022November 9, 2022

A new precision medicine tool ‘iSNP’ uncovers hidden genetic links that could enhance IBD and other difficult illnesses treatment. A group of scientists and clinicians from the Quadram Institute, the Earlham Institute, the Norfolk and Norwich University Hospital, and the University of East Anglia with collaborators in Cambridge, London and Leuven (Belgium) developed a systems…

Read More A Systems Genomics Approach to Identify Hidden Genetic Connections for Precision Medicine
Biotech | Drug Discovery | Featured | News | Trending

Scientists from Scripps Research Developed a New Technique ‘CATCH’ to Pinpoint Where Drug Molecules Hit Their Targets in the Body
ByDr. Tamanna Anwar April 30, 2022October 22, 2026

The new approach, developed by Scripps Research experts, has the potential to speed up the development of numerous novel drugs. Scripps Research scientists have developed a method for imaging where drugs hit their targets in the body across several tissues and with greater precision than ever before. The novel technique has the potential to become…

Read More Scientists from Scripps Research Developed a New Technique ‘CATCH’ to Pinpoint Where Drug Molecules Hit Their Targets in the Body
Algorithm | Bioinformatics | Cancer Research | Machine Learning | News | Paper Summary | RNA-Seq | Trending

Scientists Discover a Sensitive Blood Test to Determine if a Pre-Cancerous Condition is Progressing to Malignancy
ByTanveen Kaur April 29, 2022November 9, 2022

A test developed by OHSU researchers could help doctors treat cancer earlier when it’s more likely to be cured. Scientists discover plasma cell-free RNA profiling, which distinguishes cancers from premalignant conditions in solid and hematological malignancies. They developed a blood test to determine if a pre-cancerous condition is progressing to malignancy, potentially allowing therapy early…

Read More Scientists Discover a Sensitive Blood Test to Determine if a Pre-Cancerous Condition is Progressing to Malignancy
Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | Machine Learning | News | Trending

Scientists Develop a Machine Learning Model to Predict the Evolution of an Epidemic Accurately
ByDr. Tamanna Anwar April 28, 2022June 18, 2022

Machine learning algorithms can provide precise forecasting of virus propagation during pandemics. This method eliminates human bias and assumptions, allowing for a more accurate prediction of pandemic evolution. Researchers from KAUST developed a dynamic machine learning model with an efficient forecasting approach that can predict confirmed and recovered COVID-19 times series data with high accuracy….

Read More Scientists Develop a Machine Learning Model to Predict the Evolution of an Epidemic Accurately
Bioinformatics | Data Science | Drug Discovery | Featured | News | Paper Summary | Trending

FDA-Approved Drugs Repurposing for Treating Alzheimer’s Disease using Hierarchical Cluster Analysis of Behavioral Profiles
ByTanveen Kaur April 27, 2022October 22, 2026

Scientists from Brown University identified the novel usage of FDA-approved drugs by cluster analysis of behavioral profiles for the treatment of neurodegenerative disorders by utilizing CsA-type drugs, which are known to impact the neural system. The study suggests that drugs with ‘CsA-type’ behavioral profiles are potential candidates for preventing and treating Alzheimer’s disease. Repurposing FDA-approved…

Read More FDA-Approved Drugs Repurposing for Treating Alzheimer’s Disease using Hierarchical Cluster Analysis of Behavioral Profiles
AI | Bioinformatics | Cancer Research | Computational Models | Health | News | Precision Medicine | Tools | Trending

Artificial Intelligence Enables Physicians to Better Evaluate the Effectiveness of Bladder Cancer Treatment
ByDr. Tamanna Anwar April 26, 2022June 18, 2022

Consultation with a machine learning tool helped providers determine more accurately whether patients had a complete response to chemotherapy. Scientists from the University of Michigan investigated the impact of a computerized artificial intelligence (AI)-based decision support system (CDSS-T) on physicians’ diagnostic accuracy in measuring bladder cancer treatment response. The CDSS-T has the potential to increase…

Read More Artificial Intelligence Enables Physicians to Better Evaluate the Effectiveness of Bladder Cancer Treatment
Bioinformatics | News | Paper Summary | Systems Biology | Tools | Trending

‘BioCRNpyler’ – A Python Package to Build, Manage and Explore Intricate Biochemical Models
ByTanveen Kaur April 25, 2022April 25, 2022

Scientists from the California Institute of Technology, United States, have developed a python package, ‘BioCRNpyler’, to build, manage, and explore intricate biochemical models. BioCRNpyler can be used to speed up the computer-assisted design of biochemical circuits and the creation of model-driven hypotheses in biology. Biochemical interactions in systems and synthetic biology are frequently modeled with…

Read More ‘BioCRNpyler’ – A Python Package to Build, Manage and Explore Intricate Biochemical Models
Bioinformatics | Cancer Research | Featured | Health | News | RNA-Seq | Transcriptomics | Trending

Scientists Identify New Factors that Can Predict Breast Cancer Recurrence
ByDr. Tamanna Anwar April 23, 2022June 18, 2022

Scientists at Georgetown Lombardi Comprehensive Cancer Center have uncovered genetics and other characteristics that can predict if a woman is at risk of breast cancer recurrence, opening up new research possibilities for preventing a new tumor from growing. The discovery was made possible by Georgetown Lombardi’s sophisticated technology, which allows laboratory researchers to expand dramatically…

Read More Scientists Identify New Factors that Can Predict Breast Cancer Recurrence
Bioinformatics | Deep Learning | News | Paper Summary | Tools | Trending

Scientists Develop a Deep Learning Model ‘CAESAR’ to Connect High-Resolution 3-Dimensional Chromatin Organization With Epigenomics
ByDr. Tamanna Anwar April 22, 2022June 18, 2022

Researchers from the University of Michigan, USA, developed a deep learning model, CAESAR (Chromosomal structure And EpigenomicS AnalyzeR), to predict nucleosome-resolution 3D chromatin contact maps from existing epigenomic features and lower-resolution Hi-C contact maps. The imputed high-resolution contact maps could help in target finding, hypotheses generation, and other downstream analyses. The resolution of chromatin conformation…

Read More Scientists Develop a Deep Learning Model ‘CAESAR’ to Connect High-Resolution 3-Dimensional Chromatin Organization With Epigenomics
Bioinformatics | News | NGS | RNA-Seq | Sequencing | Transcriptomics | Trending

Single Cell RNA Sequencing Determines 16 Distinct Cell Populations in a Key Brain Area for Substance Use Disorders
ByDr. Tamanna Anwar April 21, 2022November 25, 2023

The University of Alabama in Birmingham researchers have found 16 unique cell populations in a complex part of the midbrain known as the ventral tegmental area, or VTA, using single-cell RNA sequencing in a study that advances the field. Expanding our understanding of the VTA’s function will help us better understand the mechanisms behind substance…

Read More Single Cell RNA Sequencing Determines 16 Distinct Cell Populations in a Key Brain Area for Substance Use Disorders
AI | Bioinformatics | Cancer Research | Deep Learning | Machine Learning | News | Paper Summary | Trending

Scientists Analyze the Promising Role of Prostate Cancer’s New Molecular Biomarkers: From Coding and Non-Coding Genes to Artificial Intelligence Techniques
ByTanveen Kaur April 20, 2022November 9, 2022

The scientists from Unidad de Investigación Biomédica en Cáncer, México, looked at numerous facets of prostate cancer, including new molecular markers linked to diagnosis, prognosis, therapy prediction, and how bioinformatics tools like machine learning and deep learning can help in the clinic. The findings are expected to improve prostate cancer patient clinical care by applying…

Read More Scientists Analyze the Promising Role of Prostate Cancer’s New Molecular Biomarkers: From Coding and Non-Coding Genes to Artificial Intelligence Techniques
AMR Alert | Antibiotic Resistance | Biomedical Engineering | Drug Discovery | Featured | Health | News | Trending

Engineered Bacteria Prevent Antibiotics from Harming the Beneficial Gut Microbes
ByDr. Tamanna Anwar April 19, 2022October 22, 2026

Antibiotic-degrading microbes could help avoid opportunistic infections and reduce antibiotic resistance. Antibiotic-induced changes in the gut microbiota have been linked to a variety of metabolic and inflammatory illnesses, as well as an increased risk of subsequent infections and the development of antibiotic resistance. Scientists from Massachusetts Institute of Technology designed and evaluated the in vivo…

Read More Engineered Bacteria Prevent Antibiotics from Harming the Beneficial Gut Microbes
Bioinformatics | COVID-19 | Covid-19 News | GWAS | NGS | RNA-Seq | Sequencing | Trending

First Cell Transcriptomic Atlas of a Non-Human Primate Completed by an International Team Led by BGI
ByDr. Tamanna Anwar April 15, 2022June 18, 2022

Researchers from BGI-Research, in collaboration with scientific research teams from China, Germany, Italy, Singapore, Spain, Sweden, and the United Kingdom, published the world’s first non-human primate whole-body cell transcriptomic atlas in the scientific journal Nature this week, in a breakthrough that could lead to scientific advancement in the treatment of human diseases. The study will…

Read More First Cell Transcriptomic Atlas of a Non-Human Primate Completed by an International Team Led by BGI
AMR Alert | Antibiotic Resistance | Bioinformatics | Computational Models | Machine Learning | News | Paper Summary | Precision Medicine | Tools | Trending

Machine Learning-Driven Antibiotic Selection Model that Predicts Personalized Antibiograms
ByTanveen Kaur April 13, 2022November 9, 2022

The World Health Organization (WHO) appraises that 700,000 individuals now die yearly because of antibiotic resistance and anticipates that this number will surpass 10 million every year by 2051. Stanford University scientists developed machine learning models that predict antibiotic susceptibility patterns (personalized antibiograms) using electronic health record data. Personalized empiric antibiotic subscription with personalized antibiograms…

Read More Machine Learning-Driven Antibiotic Selection Model that Predicts Personalized Antibiograms
AI | Bioinformatics | Biomedical Engineering | Cancer Research | Deep Learning | News | Tools | Trending

The Reproducibility Crisis – Robot Scientist ‘Eve’ Finds a Lack of Reproducibility in the Breast Cancer Literature
ByDr. Tamanna Anwar April 12, 2022June 18, 2022

Scientists from the University of Cambridge have used a medley of automated text analysis and the ‘robot scientist – Eve’ to semi-automate the procedure of reproducing research results. The lack of reproducibility is one of the biggest crises facing modern science. Scientific findings should be not only ‘replicable’ (i.e., reproducible in the same lab under…

Read More The Reproducibility Crisis – Robot Scientist ‘Eve’ Finds a Lack of Reproducibility in the Breast Cancer Literature
Bioinformatics | Cancer Research | Featured | News | Tools | Trending

Glyco-Decipher – A New Glycoproteomics Analysis Tool for Sensitive Deciphering of Protein Glycosylation
ByDr. Tamanna Anwar April 11, 2022January 30, 2024

A team of scientists led by Prof. YE Mingliang from the Dalian Institute of Chemical Physics (DICP) of the Chinese Academy of Sciences (CAS) has recently created Glyco-Decipher, a new glycoproteomics software tool for the sensitive interpretation of N-glycopeptide mass spectra with high confidence. Glyco-Decipher is a promising method for enhancing glycoproteomics analysis in biological…

Read More Glyco-Decipher – A New Glycoproteomics Analysis Tool for Sensitive Deciphering of Protein Glycosylation
AMR Alert | Antibiotic Resistance | Bioinformatics | Cancer Research | Neural Network | News | Precision Medicine | Trending

A Major Source of Cell-to-Cell Variability in Cell Signaling Dynamics Identified by Scientists
ByTanveen Kaur April 9, 2022November 9, 2022

To estimate cell-to-cell heterogeneity in non-Markovian signaling systems, mathematicians from The Korea Advanced Institute of Science and Technology (KAIST) and Institute for Basic Science (IBS), Korea, devised a Bayesian inference approach. The approach could aid in the development of treatments that kill pathogenic or cancerous cells. Recognizing the source of cell-to-cell variability in cell signaling…

Read More A Major Source of Cell-to-Cell Variability in Cell Signaling Dynamics Identified by Scientists
AMR Alert | Bioinformatics | Drug Discovery | News | Phylogenetic Analysis | Trending

Vanderbilt University Researchers have Developed a Novel Method to Target Potentially Undiscovered Beneficial Therapeutic Chemicals
ByDr. Tamanna Anwar April 8, 2022October 22, 2026

A project coordinated by a group of researchers from the Eichman lab and the Evolutionary Studies Initiative on the research of chemical compounds produced by bacteria was just published in mBio. The group was particularly interested in a class of compounds known as natural products. These substances are created by an organism for a specific…

Read More Vanderbilt University Researchers have Developed a Novel Method to Target Potentially Undiscovered Beneficial Therapeutic Chemicals
Bioinformatics | Biotech | Data Science | Featured | Genomics | News | NGS | Paper Summary | Precision Medicine | Trending

Scientists Revealed the First Complete, Gapless Human Genome Sequence ‘T2T-CHM13’
ByDr. Tamanna Anwar April 6, 2022June 18, 2022

An international group of scientists has finally published the whole human genome sequence. The new reference genome fills in gaps left by previous versions, allowing researchers to understand better genetic variation and how it can contribute to disease in specific cases. The complete human genome sequence has already provided new perspectives to genome biology and…

Read More Scientists Revealed the First Complete, Gapless Human Genome Sequence ‘T2T-CHM13’
Antibiotic Resistance | Biotech | Genetic Engineering | News | Tools | Trending

Scientists Developed a New Improved Prime Editor in Plants to Produce Resistant and Improved Crops
ByDr. Tamanna Anwar April 4, 2022June 18, 2022

Scientists from GAO Caixia’s team at the Chinese Academy of Sciences’ Institute of Genetics and Developmental Biology (IGDB) with collaborators have introduced Engineered Plant Prime Editor, a more efficient and enhanced plant prime editing system (ePPE). The new editing approach is projected to broaden the scope of prime editing’s application in agricultural breeding, crop improvement,…

Read More Scientists Developed a New Improved Prime Editor in Plants to Produce Resistant and Improved Crops
AI | Bioinformatics | Computational Models | Data Science | Deep Learning | Drug Discovery | Featured | News | Paper Summary | Structural Biology | Tools | Trending

A Deep Learning Model ‘AF2complex’ for Predicting Protein Complex Structures and Protein-Protein Interactions
ByDr. Tamanna Anwar April 2, 2022October 22, 2026

Scientists from the Center for the Study of Systems Biology, Atlanta, in collaboration with the Georgia Institute of Technology, Atlanta, and Oak Ridge National Laboratory, Oak Ridge, USA, have introduced a new method, ‘AF2complex’, in which AlphaFold2 (AF2) can be used to predict protein complex structure and protein-protein interactions. It is expected to provide significant…

Read More A Deep Learning Model ‘AF2complex’ for Predicting Protein Complex Structures and Protein-Protein Interactions
Bioinformatics | Cancer Research | Computational Models | Drug Discovery | News | Paper Summary | Precision Medicine | Tools | Trending

Scientists Discover the Landscape of Receptor-Mediated Precision Cancer Combination Therapy through a Single-Cell Perspective
ByTanveen Kaur April 1, 2022October 22, 2026

Scientists from the National Cancer Institute, Bethesda, and the University of Maryland have developed a computational tool to determine gene-target combinations for personalized cancer therapies. The tool has the potential to aid in the creation of novel combinatorial treatments for cancer patients. For mining a vast cohort of single-cell transcriptomics information, the scientists utilize combinatorial…

Read More Scientists Discover the Landscape of Receptor-Mediated Precision Cancer Combination Therapy through a Single-Cell Perspective

Cookie	Duration	Description
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Trending

Training

Services

Resources

Company