Bioinformatics | Genomics | GWAS | News | Paper Summary | Trending

A New Study Reveals the Landscape and Evolution of Nuclear-Mitochondrial Segments
ByShwetha S October 8, 2022October 8, 2022

Researchers from Cambridge University have reported the presence of nuclear-mitochondrial segments (NUMT) in a sample population of 66,083 people with 12,509 cancer samples. Whole genome sequencing (WGS) of the samples observed de novo NUMT of one in every 10^4 births and one in every 10^3 cancers, indicating that DNA translocation is a continuing process. Endosymbiosis…

Read More A New Study Reveals the Landscape and Evolution of Nuclear-Mitochondrial Segments
Big Data | Bioinformatics | Drug Discovery | Machine Learning | Neural Network | News | Paper Summary | RNA-Seq | Trending

HAL-X: A Novel Clustering Algorithm for Rapid Single-Cell Data Analysis for Drug Discovery
ByMahi Sharma October 7, 2022October 22, 2026

The novel clustering algorithm HAL-x provides insights into single-cell clustering, bridging the biomedicine sciences for healthcare purposes. With its specificity and sensitivity, it allows the generation of multiple-clustering for in-depth analysis of high-dimensional data. The future directions of algorithms are extremely promising in understanding disease, disease progression, and drug discovery. Throughout the years, clustering has…

Read More HAL-X: A Novel Clustering Algorithm for Rapid Single-Cell Data Analysis for Drug Discovery
AI | Bioinformatics | Chronic Diseases | Health | Machine Learning | News | Trending

Unraveling Diseases with Data – Machine Learning Helps Identify New Nonlinear Progression Patterns in Neurodegenerative Disorders
ByShwetha S October 6, 2022November 24, 2023

Researchers from the MIT-IBM Watson AI lab have developed a new machine learning-based model that recognizes ALS disease progression. The research will help design future clinical trials and discover mechanisms behind the disease. The study also highlights that the model can be extrapolated to other neurodegenerative disorders, like Alzheimer’s and Parkinson’s, to trace disease patterns. Neurodegenerative diseases…

Read More Unraveling Diseases with Data – Machine Learning Helps Identify New Nonlinear Progression Patterns in Neurodegenerative Disorders
AMR Alert | Antibiotic Resistance | Bioinformatics | Health | Infectious Diseases | Metagenomics | News | Paper Summary | Trending

Understanding the Population Dynamics for AMR Burden due to Carbapenemase-producing Enterobacteriaceae in Gut Microbiome
ByMahi Sharma October 5, 2022January 8, 2024

Scientists from A*STAR’s Genome Institute of Singapore (GIS) discovered that carbapenemase-producing Enterobacteriaceae (CPE) could hide out among gut bacteria in asymptomatic humans. Long-term research to understand microbiome ecology within the population suggests visible shifts in microbial pathways assisting in the colonization of Enterobacteriaceae favoring CPE (Carbapenemase-producing Enterobacteriaceae ) infections. The study provides imperative insight into…

Read More Understanding the Population Dynamics for AMR Burden due to Carbapenemase-producing Enterobacteriaceae in Gut Microbiome
Bioinformatics | Deep Learning | Machine Learning | News | Paper Summary | Tools | Trending

Researchers Identified Deep Learning Tools as the Top Performers for Predicting Long Non-coding RNA
BySrishti Sharma October 3, 2022October 3, 2022

New RNA transcripts have been discovered as a result of the growing amount of transcriptomic data. Bioinformatic tool developers have had difficulty separating long non-coding RNA (lncRNA) from protein-coding messenger RNA (mRNA). Currently, tools implementing deep learning architectures have been developed to accomplish this task, but their potential to discover sequence features and their interactions…

Read More Researchers Identified Deep Learning Tools as the Top Performers for Predicting Long Non-coding RNA
Bioinformatics | Data Science | News | NGS | OMICS | Paper Summary | RNA-Seq | Sequencing | Trending

In a Benchmark Study, Scientists Investigated the Integration of Temporal Sequencing Modalities for Trajectory Inference and Disease Prediction
ByMahi Sharma October 2, 2022October 1, 2022

Recent advancements in trajectory inferences have unfolded a new side of bioinformatics, i.e., single-cell analysis. The research group from the University of Northern Carolina School of Medicine benchmark study addressed gaps in capturing temporal changes in a single-cell state. Interpretation of dynamic phenotypes using ten datasets spanning different biological environments at three distinct temporal stages….

Read More In a Benchmark Study, Scientists Investigated the Integration of Temporal Sequencing Modalities for Trajectory Inference and Disease Prediction
AI | Bioinformatics | Cancer Research | Machine Learning | News | Paper Summary | Tools | Trending

New AI Tool ‘SigProfilerExtractor’ Identifies Mutational Signature Linked To Tobacco Smoking and Bladder Cancer
BySrishti Sharma September 30, 2022September 30, 2022

A new powerful machine learning tool, ‘SigProfilerExtractor‘ has identified a link between bladder cancer and tobacco smoking. The study was led by researchers at the University of California San Diego School of Medicine and published in the journal Cell Genomics. The study may help researchers determine what environmental factors could cause cancer in certain patients, such…

Read More New AI Tool ‘SigProfilerExtractor’ Identifies Mutational Signature Linked To Tobacco Smoking and Bladder Cancer
Bioinformatics | Cancer Research | Drug Discovery | Machine Learning | News | Paper Summary | Trending

Eliminating the Confounder Bias – A Radical Approach for Better Identification of Cancer Drug Targets
ByShwetha S September 29, 2022October 22, 2026

Researchers from Jilin University have constructed a machine learning-based model that reduces confounders’ effects to identify potential driver genes involved in cancer initiation and progression. Cancer is one of the deadliest diseases worldwide. According to the World Health Organization (WHO), cancer has claimed the lives of nearly 10 million people in 2020. Mutations in the…

Read More Eliminating the Confounder Bias – A Radical Approach for Better Identification of Cancer Drug Targets
Bioinformatics | Metagenomics | News | Paper Summary | Sequencing | Tools | Trending

iNAP: An Integrated Network Analysis Pipeline for Microbiome Studies in Complex Ecosystems
ByMahi Sharma September 28, 2022September 28, 2022

Microbial network analysis is an acceptable approach to investigating microbiome and metagenomic datasets and finding insights into a complex ecosystem. Ye Deng et al. introduced an integrated pipeline, iNAP, for network construction and visualization to help researchers understand microbial ecology without prior knowledge of bioinformatics or statistical programming skills. Understanding and deducing information from microbial…

Read More iNAP: An Integrated Network Analysis Pipeline for Microbiome Studies in Complex Ecosystems
AMR Alert | Bioinformatics | Infectious Diseases | Machine Learning | Metagenomics | News | NGS | Paper Summary | Trending

Scientists Investigated Microbial Communities and Resistomes in Relation to Interconnected Humans, Soil, and Livestock
BySrishti Sharma September 27, 2022September 27, 2022

Antimicrobial resistance (AMR) may be reservoired in intensive livestock farms, posing a threat to surrounding communities. The gut microbiome of livestock, workers, and their households, as well as microbial communities in carcasses and soil, were investigated using shotgun metagenome sequencing, machine learning (ML), and culture-based methods at a poultry farm in China. In this study,…

Read More Scientists Investigated Microbial Communities and Resistomes in Relation to Interconnected Humans, Soil, and Livestock
Bioinformatics | Cancer Research | News | NGS | Paper Summary | Sequencing | Trending

Mathematical Modeling Bridges Chromatin Architecture with Potential in Genome Medicine
ByMahi Sharma September 26, 2022September 26, 2022

Scientists from the University of Michigan employed hypergraph theory, utilizing long sequence reads to map genome-wide multi-ways to identify chromatin architecture within the human genome. Understanding how a cell is organized could help biologists develop treatments that halt cancer and other diseases. The kinetics of high-order chromatin composition is known to play a role in…

Read More Mathematical Modeling Bridges Chromatin Architecture with Potential in Genome Medicine
AI | Bioinformatics | COVID-19 | Drug Discovery | News | Structural Biology | Tools | Trending

Accelerating the Discovery of New Drugs with AI-based Screening Methods
ByDr. Tamanna Anwar September 25, 2022September 29, 2022

The researchers from the University of Central Florida identified promising drug candidates using an AI-based tool, “AttentionSiteDTI,” that uses natural language to model drug-target protein interactions. Drug discovery has become a major bottleneck in modern medicine. Researchers have developed several methods to speed up the process in recent years, such as high-throughput screening (HTS). HTS…

Read More Accelerating the Discovery of New Drugs with AI-based Screening Methods
AI | Bioinformatics | Deep Learning | Drug Discovery | Machine Learning | News | Paper Summary | Structural Biology | Trending

Meet “ProteinMPNN,” A Robust Deep Learning-based Protein Sequence Design Algorithm
BySrishti Sharma September 24, 2022October 22, 2026

Predicting protein structure has been revolutionized by machine learning over the past two years. A similar breakthrough in protein design has now been reported in the journal Science. The researchers from the Baker lab at the University of Washington demonstrate that machine learning makes the design of proteins much more accurate and faster with a…

Read More Meet “ProteinMPNN,” A Robust Deep Learning-based Protein Sequence Design Algorithm
Bioinformatics | Metagenomics | News | NGS | Paper Summary | Sequencing | Trending

Microbiome Data Analysis using Differential Abundance Methods – A Benchmark Study
BySrishti Sharma September 22, 2022September 22, 2022

In order to perform an extensive benchmarking of the known tools for differential abundance analysis, the researchers from the University of Padova used a simulator of microbiome data to create a simulation framework based on microbiome data. This is the first step towards the development of a robust, reliable, and fair simulation framework that will…

Read More Microbiome Data Analysis using Differential Abundance Methods – A Benchmark Study
AI | Bioinformatics | Health | News | Trending

CheXzero: A Tool to Identify Pathologies from Unannotated Chest X-ray Images Using Self-supervised Learning
ByDr. Tamanna Anwar September 21, 2022January 26, 2023

The new tool “CheXzero” improves clinical AI design by overcoming the major hurdle of labeling datasets for model training. Scientists at Harvard Medical School and Stanford University have developed an artificial intelligence diagnostic tool that can detect diseases directly from natural language descriptions of chest X-rays. This is a major step forward in clinical AI…

Read More CheXzero: A Tool to Identify Pathologies from Unannotated Chest X-ray Images Using Self-supervised Learning
Bioinformatics | Deep Learning | News | Paper Summary | Structural Biology | Tools | Trending

DeepFold: A Fast and Accurate Method for Ab Initio Protein Structure Prediction using Deep Learning Potentials
BySrishti Sharma September 20, 2022January 26, 2023

Scientists from the University of Michigan developed an open-source program, DeepFold, to quickly construct accurate protein structure models from deep learning-based potentials. In spite of recent progress in protein structure prediction, it is still necessary to improve the accuracy of models for proteins lacking sequence and/or structure homologs. The DeepFold program uses multi-task deep residual…

Read More DeepFold: A Fast and Accurate Method for Ab Initio Protein Structure Prediction using Deep Learning Potentials
Bioinformatics | News | Structural Biology | Trending

Vanderbilt University Researchers Suggest a New Mechanism for the Lipid Transporter
ByDr. Tamanna Anwar September 19, 2022September 18, 2022

New research from Vanderbilt University suggests that a protein involved in the production of high-density lipoprotein (HDL) works differently than previously believed. High-density lipoproteins (HDL) are a type of protein that helps transport cholesterol throughout the body. HDL particles have a higher concentration of cholesterol than low-density lipoproteins. The HDL cholesterol or “good cholesterol” carries…

Read More Vanderbilt University Researchers Suggest a New Mechanism for the Lipid Transporter
AI | Bioinformatics | Infectious Diseases | News | Precision Medicine | Trending

Researchers at Tufts use Artificial Intelligence to Improve Tuberculosis Treatments
ByDr. Tamanna Anwar September 17, 2022September 16, 2022

A challenge to tuberculosis treatment regimen design is the need to combine three or more antibiotics. The study shows how machine learning can provide a data-driven perspective on this challenge, so researchers can consider new drug combinations to provide better treatments. The researchers believe this new approach will increase scientists’ ability to determine which drug…

Read More Researchers at Tufts use Artificial Intelligence to Improve Tuberculosis Treatments
AI | Big Data | Bioinformatics | Drug Discovery | News | Trending

Microsoft and Novo Nordisk Collaborate to Accelerate Drug Discovery and Development using Big Data and Artificial Intelligence
ByDr. Tamanna Anwar September 15, 2022October 22, 2026

Novo Nordisk, a leading global healthcare company headquartered in Denmark, has entered into a new strategic collaboration with Microsoft Corp. to accelerate drug discovery and development using big data and artificial intelligence. A new strategic collaboration between the two companies aims to combine Microsoft’s capabilities in data science, cloud computing, and artificial intelligence (AI) with…

Read More Microsoft and Novo Nordisk Collaborate to Accelerate Drug Discovery and Development using Big Data and Artificial Intelligence
AI | Bioinformatics | Machine Learning | News | Precision Medicine | Trending

Scientists Develop an Artificial Intelligence Tool that Could Reduce the Side Effects of Common Drugs
ByDr. Tamanna Anwar September 14, 2022September 14, 2022

It may be possible for clinicians to use artificial intelligence to identify patients who are most prone to experiencing harmful side effects when taking some common antidepressants, antihistamines, and bladder medications. In a study published in Age and Ageing, researchers from the Universities of Exeter and Kent and Medway NHS and Social Care Partnership Trust…

Read More Scientists Develop an Artificial Intelligence Tool that Could Reduce the Side Effects of Common Drugs
AI | Bioinformatics | Cancer Research | Deep Learning | Health | News | Precision Medicine | Tools | Trending

Scientists Develop an Improved Method for Detecting Myeloma Bone Disease using Deep Learning Coupled Photon-counting CT
ByDr. Tamanna Anwar September 13, 2022September 13, 2022

Scientists have developed a new CT technique using artificial intelligence (AI) to spot multiple myeloma-related bone diseases, using lower radiation doses than conventional CT, according to a study published in Radiology, a journal of the Radiological Society of North America. After nearly two decades of development, the technology was used in clinical practice in 2021….

Read More Scientists Develop an Improved Method for Detecting Myeloma Bone Disease using Deep Learning Coupled Photon-counting CT
AI | Bioinformatics | COVID-19 | Covid-19 News | Deep Learning | News | SARS-CoV-2 | Trending

A New AI Model can Detect COVID-19 Cases by Analyzing Changes in Voice Data
ByDr. Tamanna Anwar September 12, 2022September 12, 2022

A deep learning model based on voice data from crowd-sourced audio samples detects COVID-19 cases by analyzing subtle vocal changes. At an international congress of the European Respiratory Society in Barcelona, Spain, held from 4th–6th September, researchers presented a study that uses deep learning to identify COVID-19 patients using voice data. The research findings were…

Read More A New AI Model can Detect COVID-19 Cases by Analyzing Changes in Voice Data
Antibiotic Resistance | Bioinformatics | COVID-19 | Covid-19 News | Drug Discovery | News | SARS-CoV-2 | Trending | Virus

Researchers at Mount Sinai Determined the Crystal Structure of the SARS-CoV-2 Key Enzyme, Paving the Way for Novel Antivirals
ByDr. Tamanna Anwar September 11, 2022October 22, 2026

Researchers at Mount Sinai have solved the high-resolution crystal structure of a critical enzyme of SARS-CoV-2, leading to the development of new antivirals. This is a major breakthrough in the battle against SARS-CoV-2 and could lead to the development of new and more effective antiviral drugs. SARS-CoV-2 is a deadly virus that has killed millions…

Read More Researchers at Mount Sinai Determined the Crystal Structure of the SARS-CoV-2 Key Enzyme, Paving the Way for Novel Antivirals
Bioinformatics | Cancer Research | News | NGS | OMICS | Paper Summary | RNA-Seq | Tools | Trending

Cancer Omics Data Analysis Simplified with a Graphical Interface-driven Bioinformatics Pipeline ‘iCOMIC’
BySrishti Sharma September 10, 2022January 3, 2024

Researchers from the Indian Institute of Technology, Madras, present iCOMIC, a tool for quickly analyzing genomic data. With iCOMIC, users can analyze whole genome and exome sequencing data as well as RNA-Seq data using several pre-configured workflows. Developed as an open-source, standalone tool characterized by a Python-based GUI and automated bioinformatics pipelines for DNA-Seq and…

Read More Cancer Omics Data Analysis Simplified with a Graphical Interface-driven Bioinformatics Pipeline ‘iCOMIC’
Bioinformatics | News | Paper Summary | RNA-Seq | Sequencing | Trending

Scientists Construct a Single-cell Level Cross-species Cell Landscape by Integrating Over 2.6 Million Single Cells
BySrishti Sharma September 9, 2022September 9, 2022

Life is based on individual cells. Landscape dynamics across species have not been compared despite extensive efforts to characterize cellular heterogeneity. A large number of cell landscapes were mapped for mice, zebrafish, and Drosophila at multiple life stages using single-cell RNA sequencing (scRNA-seq). With over 2.6 million single cells integrated, the construction of a cross-species…

Read More Scientists Construct a Single-cell Level Cross-species Cell Landscape by Integrating Over 2.6 Million Single Cells
Bioinformatics | COVID-19 | Infectious Diseases | News | Tools | Trending

MVsim – A Toolset for Simulating Complex Molecular Interactions Could Improve Cancer and COVID-19 Treatments
ByDr. Tamanna Anwar September 8, 2022September 8, 2022

MVsim is a new application suite that enables the quantification, design, and mechanistic evaluation of multivalent binding interactions. It can be used to simulate both monospecific and multispecific multivalent ligand-receptor interactions accurately, having potential applications for protein engineering, molecular and cellular analysis, as well as drug design. The University of Minnesota Twin Cities biomedical engineers have…

Read More MVsim – A Toolset for Simulating Complex Molecular Interactions Could Improve Cancer and COVID-19 Treatments
Bioinformatics | Infectious Diseases | Machine Learning | News | Trending

Machine Learning Reveals How Bacterial Population Growth is Linked to the Environment
ByDr. Tamanna Anwar September 7, 2022September 10, 2022

University of Tsukuba researchers used machine learning to discover that differentiation in decision-making factors for the lag, growth, and saturation phases of bacterial population growth safeguards the population from extinction. The large datasets produced in the study and the use of machine learning to handle complex modeling will be of interest to the biology community….

Read More Machine Learning Reveals How Bacterial Population Growth is Linked to the Environment
Bioinformatics | Genetic Engineering | Metabolomics | News | Paper Summary | Proteomics | Tools | Transcriptomics | Trending

Scientists Introduce an Automated Pipeline ‘Galaxy-SynBioCAD’ for Synthetic Biology Design and Engineering
BySrishti Sharma September 6, 2022October 22, 2026

A toolshed for synthetic biology, metabolic engineering, and industrial biotechnology is available through the Galaxy-SynBioCAD portal. Using the tools and workflows available on the portal, one can create libraries of strains that produce the desired chemical targets, spanning a comprehensive metabolic pathway design and engineering process from selecting strains and targets, designing DNA parts to…

Read More Scientists Introduce an Automated Pipeline ‘Galaxy-SynBioCAD’ for Synthetic Biology Design and Engineering
Bioinformatics | Covid-19 News | Machine Learning | News | Paper Summary | SARS-CoV-2 | Trending

Deep Mutational Learning Determines the Impact of SARS-CoV-2 Receptor Binding Domain Mutations on Binding and Antibody Escape
BySrishti Sharma September 3, 2022September 3, 2022

It is highly likely that the COVID-19 pandemic will last longer due to the continuous evolution of SARS-CoV-2 and the emergence of variants that are resistant to vaccines and neutralizing antibodies. The ACE2 receptor-binding domain (RBD), a prime target site for neutralizing antibodies, plays a significant role in the selection and emergence of SARS-CoV-2 variants….

Read More Deep Mutational Learning Determines the Impact of SARS-CoV-2 Receptor Binding Domain Mutations on Binding and Antibody Escape
AI | Bioinformatics | Cancer Research | Cloud Computing | Data Science | Facts | Featured | Health | Machine Learning | News | Trending

Top Five Data Science Technologies Transforming Cancer Research
ByDr. Tamanna Anwar September 2, 2022October 22, 2026

Cancer is a disease that affects millions of people worldwide. According to the World Health Organization (WHO), cancer is the second leading cause of death globally, after cardiovascular diseases. In 2018, about 9.6 million deaths were reported due to cancer. The WHO estimates that over 1.8 million people died from cancer in 2017. The number…

Read More Top Five Data Science Technologies Transforming Cancer Research
Bioinformatics | COVID-19 | Covid-19 News | News | Paper Summary | SARS-CoV-2 | Tools | Trending

Epitope-Evaluator: A Shiny/R-based Web Tool for Interactively Analysing Predicted T-cell Epitopes
BySrishti Sharma September 1, 2022September 1, 2022

T-cell epitopes are predicted based on amino acid sequences of proteins from different MHC alleles using multiple immunoinformatic tools. Many of these tools produce hundreds of potential peptide candidates, but they are either non-graphical or unfriendly to non-programmers. Epitope-Evaluator is a web application developed in the Shiny/R framework for analyzing predicted T-cell epitopes interactively. A…

Read More Epitope-Evaluator: A Shiny/R-based Web Tool for Interactively Analysing Predicted T-cell Epitopes
Bioinformatics | Deep Learning | Machine Learning | News | Paper Summary | Trending

Self-supervised Deep Learning Algorithm “Cytoself” Provides High-Resolution Features of Protein Subcellular Localization
BySrishti Sharma August 30, 2022August 30, 2022

Understanding cellular architecture requires understanding the diversity and complexity of protein localization. The present study aims to introduce cytoself, a deep-learning approach that allows self-supervised profiling and clustering of protein localization. A self-supervised training scheme is leveraged by Cytoself, which requires no preexisting knowledge or categories. Using images of 1,311 endogenously labeled proteins from the…

Read More Self-supervised Deep Learning Algorithm “Cytoself” Provides High-Resolution Features of Protein Subcellular Localization
AI | Bioinformatics | Cancer Research | Deep Learning | Health | News | Trending

Clinical Validation of Deep Learning Algorithm to Simplify Lung Cancer Radiotherapy Treatment
ByDr. Tamanna Anwar August 29, 2022August 29, 2022

Nearly half of the cases of the most common cancer worldwide, lung cancer, are treated with radiation therapy (RT). RT planning is a time-consuming, resource-intensive process that can take days to weeks to complete, and even highly trained doctors disagree on how much tissue to target with radiation. Furthermore, as cancer rates rise, a global…

Read More Clinical Validation of Deep Learning Algorithm to Simplify Lung Cancer Radiotherapy Treatment
Algorithm | Bioinformatics | Machine Learning | News | RNA-Seq | Trending

Kyoto University Scientists Integrated Probability Algorithms within a Pocket-sized Sequencing Device to Read RNA Modifications More Precisely
ByDr. Tamanna Anwar August 28, 2022August 28, 2022

Scientists at Kyoto University introduced two new approaches that could help better distinguish RNA modifications affecting how genetic code is read using sequencing technology. The researchers are getting closer to identifying RNA sequence changes that affect protein formation and can cause diseases. The method, which was published in the journal Genomics, combines probability algorithms with…

Read More Kyoto University Scientists Integrated Probability Algorithms within a Pocket-sized Sequencing Device to Read RNA Modifications More Precisely
Bioinformatics | Cancer Research | News | NGS | Paper Summary | RNA-Seq | Trending

UCI Scientists Track Transposable Elements ‘Parasitic Genes’ in the Search for Disease Treatments
BySrishti Sharma August 27, 2022August 27, 2022

Scientists at the University of California, Irvine, provide new insights into “parasitic genes” or transposable elements. Despite accounting for more than half of human DNA, there is still much to learn about these elements. The new perspective could one day aid in the fight against cancer and aging-related diseases. The transposable element (TE) is an…

Read More UCI Scientists Track Transposable Elements ‘Parasitic Genes’ in the Search for Disease Treatments
AI | Bioinformatics | Computational Models | Neural Network | News | Paper Summary | Trending

MIT’s Artificial Intelligence Model Detects Parkinson’s Disease from Nocturnal Breathing Patterns
BySrishti Sharma August 25, 2022August 25, 2022

Scientists from MIT developed a device resembling a Wi-Fi router that employs a neural network to detect the presence and severity of the most rapidly growing neurological disease in the world, Parkinson’s disease. Parkinson’s disease (PD) affects more than 1 million Americans as of 2020, causing $52 billion in economic costs each year. Drugs have…

Read More MIT’s Artificial Intelligence Model Detects Parkinson’s Disease from Nocturnal Breathing Patterns
Bioinformatics | Health | News | Trending

Interactome of the Dementia Protein ‘Tau Protein’ Reveals its Role in Normal Memory
ByDr. Tamanna Anwar August 24, 2022December 28, 2022

According to new research from Flinders University, the tau protein, which plays a critical role in the development of Alzheimer’s disease, is also involved in normal learning processes in the healthy brain, potentially providing a target for future drug therapies. The researchers discovered that the tau protein, whose role has long been unknown, may aid…

Read More Interactome of the Dementia Protein ‘Tau Protein’ Reveals its Role in Normal Memory
Bioinformatics | Genetic Engineering | Infectious Diseases | News | Paper Summary | Trending

MIT Researchers used Multicellular Interface Patterning Based on 4-bit Adhesion Logic to Self-assemble Bacterial Systems into Desired 2D Shapes
BySrishti Sharma August 23, 2022August 23, 2022

A research team led by the professors at MIT and the University of Arizona has developed an experiment-theory platform for programming bacterial systems to grow into arbitrary two-dimensional target structures using genetically engineered bacteria and mathematical modeling. Multicellular systems, such as bacterial biofilms and human organs form interfaces (or boundaries) between different cell collectives to…

Read More MIT Researchers used Multicellular Interface Patterning Based on 4-bit Adhesion Logic to Self-assemble Bacterial Systems into Desired 2D Shapes
AI | Bioinformatics | Machine Learning | News | Precision Medicine | Trending

A Comparative Analysis of Artificial Intelligence Approaches for Personalized Medicine Reveals No One-Size-Fits-All Method for Prevention, Diagnosis or Treatment
ByDr. Tamanna Anwar August 22, 2022December 28, 2022

A study at Rutgers University of dozens of artificial intelligence (AI) software programs used in precision medicine to prevent, diagnose, and treat disease discovered that there is not a single program that can be applied to all the treatments. The Rutgers study is among the first to investigate competing AI algorithms and software in genomics,…

Read More A Comparative Analysis of Artificial Intelligence Approaches for Personalized Medicine Reveals No One-Size-Fits-All Method for Prevention, Diagnosis or Treatment
Bioinformatics | Cancer Research | Chronic Diseases | Health | News | Paper Summary | Proteomics | Transcriptomics | Trending

Tumor Treating Fields Against Glioblastoma: Identification of Potential Targets through Whole Transcriptome and Proteome Analyses
ByTanveen Kaur August 21, 2022October 22, 2026

Scientists from the Central South University, China, developed a novel Tumor Treating Fields ‘TTFields’ system named “CL-301A” and showcase its efficacy in the suppression of glioblastoma cell proliferation and induction of cell apoptosis. One of the most dangerous types of brain cancer is glioblastoma. The most recent method of treating glioblastoma (GBM) is called tumor…

Read More Tumor Treating Fields Against Glioblastoma: Identification of Potential Targets through Whole Transcriptome and Proteome Analyses
Bioinformatics | Database | Drug Discovery | Education | GWAS | News | Paper Summary | Trending

Genebass – A New Online Resource that Links Rare Genetic Variants to Human Health and Disease
BySrishti Sharma August 20, 2022October 22, 2026

Researchers at the Broad Institute of MIT and Harvard have developed Genebass, a free online browser that will assist other researchers and clinicians studying specific genes in linking rare genetic variants with disease phenotypes. Genebass represents a genetic analysis of nearly 400,000 people from the UK Biobank and may assist researchers in identifying potential novel therapeutic…

Read More Genebass – A New Online Resource that Links Rare Genetic Variants to Human Health and Disease
Bioinformatics | Cancer Research | Deep Learning | Neural Network | News | Trending

Deep Learning Technology Developed by SNU Researchers Helps Predict Cancer Patient’s Survival Rate
ByDr. Tamanna Anwar August 19, 2022August 22, 2022

A research team at Seoul National University (SNU) developed deep learning technology that can more accurately predict a cancer patient’s survival rate. According to the research published today in the journal Nature Biomedical Engineering, computational pathology methods for analyzing whole-slide images (WSIs) typically do not take histopathological features from the tumor microenvironment into account. In…

Read More Deep Learning Technology Developed by SNU Researchers Helps Predict Cancer Patient’s Survival Rate
Bioinformatics | Biomedical Engineering | Corona Virus | COVID-19 | Covid-19 News | Health | Infectious Diseases | Machine Learning | News | Paper Summary | Trending

Scientists Introduce ‘GeNose C19’ a Quick Screening Tool for Sniffing Out COVID-19 Based on Exhaled Breath-print Recognition
ByTanveen Kaur August 19, 2022August 19, 2022

Universitas Gadjah Mada, Indonesia, scientists developed a low-cost, non-invasive method to rapidly sniff out COVID-19 by using an electronic nose named “GeNose C19”. The method of RT-qPCR, which stands for a reverse transcription-quantitative polymerase chain reaction, has been widely utilized to identify the SARS-CoV-2 virus that causes COVID-19. However, clinicians frequently prefer to use a…

Read More Scientists Introduce ‘GeNose C19’ a Quick Screening Tool for Sniffing Out COVID-19 Based on Exhaled Breath-print Recognition
AI | Bioinformatics | Health | News | Paper Summary | Trending

Facial Phenotyping using Artificial Intelligence and Videoconferencing for KBG Syndrome
BySrishti Sharma August 18, 2022August 18, 2022

Scientists from The City University of New York present a protocol for collecting and analyzing data for KBG syndrome that emphasizes the use of videoconference and artificial intelligence (AI). Based on this information, the authors make recommendations for diagnostic and treatment approaches for KBG syndrome. The study reports 25 previously unpublished individuals from 22 families…

Read More Facial Phenotyping using Artificial Intelligence and Videoconferencing for KBG Syndrome
Bioinformatics | Cancer Research | Data Science | News | NGS | RNA-Seq | Trending

Scientists Developed a Versatile Pipeline ‘scAmpi’ for Single-cell RNA-seq Data Analysis from Basics to Clinics
ByTanveen Kaur August 17, 2022August 17, 2022

Scientists from the Swiss Institute of Bioinformatics devise a workflow known as Single Cell Analysis mRNA Pipeline, ‘scAmpi,’ for providing complete functionality to scRNA-seq data analysis. In order to understand tissue composition at the single-cell level, to shed light on disease processes, tumor heterogeneity, and the condition of the immune milieu, single-cell RNA sequencing (scRNA-seq) has…

Read More Scientists Developed a Versatile Pipeline ‘scAmpi’ for Single-cell RNA-seq Data Analysis from Basics to Clinics
Bioinformatics | Cancer Research | Cell | Computational Models | Machine Learning | News | Paper Summary | RNA-Seq | Trending

A New Machine Learning Algorithm ‘Ikarus’ Identifies Tumor Cells at the Single-cell Level
BySrishti Sharma August 16, 2022August 16, 2022

A tumor is a complex tissue of cancerous cells associated with a heterogeneous cellular microenvironment. Using single-cell sequencing, tumor cells can be molecularly characterized. Identifying tumor cells within single-cell or spatial sequencing experiments is particularly challenging due to cell annotation, which assigns cell type or state to each sequenced cell. Ikarus is a machine learning…

Read More A New Machine Learning Algorithm ‘Ikarus’ Identifies Tumor Cells at the Single-cell Level
Bioinformatics | Cancer Research | Computational Models | COVID-19 | Covid-19 News | Drug Discovery | News | OMICS | Paper Summary | Trending

iLINCS: An Integrative Web-based Platform for Analysis of OMICS Data and Signatures of Cellular Perturbations
ByTanveen Kaur August 15, 2022October 22, 2026

The University of Cincinnati scientists introduce iLINCS, an integrative web-based platform for analyzing OMICS data and markers of cellular disturbances. The user-friendly interfaces of iLINCS allow for the execution of sophisticated omics signature analyses, mechanism of action analysis, and signature-driven drug repositioning. Only a few systems exist that combine several omics data types, bioinformatics tools,…

Read More iLINCS: An Integrative Web-based Platform for Analysis of OMICS Data and Signatures of Cellular Perturbations
AI | Bioinformatics | Cancer Research | Deep Learning | Health | News | Paper Summary | Trending

Scientists use Multimodal Deep Learning for Pan-Cancer Integrative Histology-Genomic Analysis
ByTanveen Kaur August 14, 2022December 28, 2022

Scientists present an interpretable, loosely guided, multimodal deep learning strategy for cancer prognosis, which also investigates the use of multimodal interpretability to describe how WSI and molecular characteristics affect risk. The objective prognostic models that can be created from histology pictures have shown promise in the quickly evolving field of computational pathology. Most prognostic models,…

Read More Scientists use Multimodal Deep Learning for Pan-Cancer Integrative Histology-Genomic Analysis
AI | Bioinformatics | Deep Learning | Featured | News | Paper Summary | Structural Biology | Tools | Trending

Meta’s AI Protein Structure Prediction Model ‘ESMFold’ Predicts as Accurately and 6x Faster than AlphaFold2
BySrishti Sharma August 13, 2022October 6, 2022

Researchers at Meta AI developed an artificial intelligence (AI) model that can precisely predict entire atomic protein structures from a single sequence of a protein. The use of language model representations to replace the requirement for explicit homologous sequences distinguishes ESMFold from AlphaFold2. As a result of this simplification, ESMFold is significantly faster than the…

Read More Meta’s AI Protein Structure Prediction Model ‘ESMFold’ Predicts as Accurately and 6x Faster than AlphaFold2
Bioinformatics | Data Science | News | Paper Summary | Trending

A Dual-plasmid System Based on Gene Editing Tools Boosts DNA Digital Storage Potential
BySrishti Sharma August 11, 2022November 23, 2023

The Chinese Academy of Sciences researchers introduced a dual-plasmid editing system that enhances DNA digital storage. The study strongly encourages the use of DNA-based information technology by demonstrating a digital-to-biological information processing approach for highly effective data storage, amplification, and rewriting. In recent years, DNA has gained increasing attention as an information storage medium. A…

Read More A Dual-plasmid System Based on Gene Editing Tools Boosts DNA Digital Storage Potential

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