Bioinformatics Research & News

Bioinformatics | Cancer Research | Machine Learning | News | Paper Summary | Precision Medicine | RNA-Seq | Tools | Transcriptomics | Trending
Scientists Design Machine Learning Model to Decipher the Microenvironment Communication Networks of Individual Tumors
ByCatherene Tomy December 28, 2022December 28, 2022
Intercellular networks between key players in the tumor microenvironments make tumor cells invincible against the body’s natural defense mechanisms. Identifying and targeting these interactions can make tumors more susceptible to tumor invasions and their eventual retardation. This study demonstrates the use of Bayesian network models in designing a network that links together these interactions by…
Read More Scientists Design Machine Learning Model to Decipher the Microenvironment Communication Networks of Individual Tumors
Algorithm | Bioinformatics | Biomedical Engineering | Cancer Research | Drug Discovery | Featured | Genomics | News | OMICS | Sequencing | Structural Biology | Tools | Trending
Top 10 Bioinformatics Breakthroughs of 2022!
ByCatherene Tomy December 27, 2022January 11, 2023
The field of bioinformatics has seen numerous exciting breakthroughs in the year 2022 that have transformed the landscape of biological research. Many important discoveries have advanced our understanding of complex biological processes and have led to new treatments and therapies for diseases. In this article, we will explore the top 10 bioinformatics discoveries of the…
Read More Top 10 Bioinformatics Breakthroughs of 2022!
Facts | Learn Bioinformatics
What is DNA?
ByDr. Tamanna Anwar December 27, 2022January 1, 2023
Welcome to this informative article on DNA. Let’s see what is DNA? Learn More: Top Bioinformatics Books ↗ Learn more to get deeper insights into the field of bioinformatics. Top Free Online Bioinformatics Courses ↗ Freely available courses to learn each and every aspect of bioinformatics. Latest Bioinformatics Breakthroughs ↗ Stay updated with the latest…
Read More What is DNA?
Bioinformatics | Health | Infectious Diseases | Machine Learning | News | Tools | Trending
Identifying Imported Plasmodium vivax Malaria Using Molecular Barcoding and Web-Based Data Analysis
ByRiya Vishwakarma December 26, 2022December 26, 2022
Researchers from Indonesia and Australia have developed a molecular barcode and a web-based data analysis tool to identify and track imported cases of Plasmodium vivax malaria. Using a unique molecular identifier, the tool can accurately detect the presence of P. vivax in samples and provide important information for the prevention and treatment of the disease….
Read More Identifying Imported Plasmodium vivax Malaria Using Molecular Barcoding and Web-Based Data Analysis
Bioinformatics | Biomedical Engineering | Cancer Research | Drug Discovery | Health | News | RNA-Seq | Trending
Exploring the Potential of Combination Therapy: Utilizing Engineered Bacterial Therapeutics and Traditional Cancer Treatments for Improved Non-Small Cell Lung Cancer Outcomes
ByDr. Tamanna Anwar December 25, 2022December 27, 2022
According to researchers at Columbia Engineering, they have developed a preclinical evaluation pipeline for assessing the effectiveness of bacterial therapies in lung cancer models. In the new study, published in Scientific Reports, the researchers combined bacterial therapies with other treatment methods in order to improve treatment outcomes without increasing toxicity. This approach allowed for the rapid…
Read More Exploring the Potential of Combination Therapy: Utilizing Engineered Bacterial Therapeutics and Traditional Cancer Treatments for Improved Non-Small Cell Lung Cancer Outcomes
AI | Algorithm | Bioinformatics | Deep Learning | Machine Learning | News | Trending
AI-Powered Dementia Detection: A Digital Solution for Identifying Undiagnosed Cases
ByDr. Tamanna Anwar December 24, 2022December 24, 2022
Scientists from the Regenstrief Institute, IUPUI, Indiana University, and the University of Miami are using Artificial Intelligence to identify undiagnosed cases of dementia in primary care settings as part of the Digital Detection of Dementia (D3) study. The study aimed to improve the timely diagnosis of dementia and provide diagnostic services to those who have…
Read More AI-Powered Dementia Detection: A Digital Solution for Identifying Undiagnosed Cases
Biomedical Engineering | Featured | Health | News | Trending
3D Bioprinting Takes Eye Tissue Engineering to New Heights at NIH
ByDr. Tamanna Anwar December 23, 2022December 23, 2022
Scientists at the National Eye Institute (NEI), part of the National Institutes of Health, have made a significant advancement in the field of 3D bioprinting by successfully creating functional eye tissue using this innovative technique. The potential for this development to revolutionize the treatment of eye conditions and diseases is vast, and further research will…
Read More 3D Bioprinting Takes Eye Tissue Engineering to New Heights at NIH
Bioinformatics | Drug Discovery | Machine Learning | Metabolomics | News | Trending
Scientists Harnessed the Power of Machine Learning to Decode the World of Small Molecules
ByDr. Tamanna Anwar December 23, 2022October 22, 2026
Scientists from Aalto University and the University of Luxembourg have developed a machine learning model that can accurately identify small molecules. The model has the potential to be used in various fields, including medicine, drug discovery, and environmental chemistry. The model was trained using data from numerous laboratories and is now considered one of the…
Read More Scientists Harnessed the Power of Machine Learning to Decode the World of Small Molecules
Bioinformatics | News | NGS | RNA-Seq | Sequencing | Trending
Unveiling the Hidden Messages of Photosynthesis: Deciphering the Language of Plant Life
ByDr. Tamanna Anwar December 22, 2022December 21, 2022
Researchers at UC Riverside have made a breakthrough in understanding the signals that plants use to initiate photosynthesis, the process of converting sunlight into sugars. These signals have long been a mystery to scientists. The team’s findings offer new insights into how photosynthesis is regulated in plants. It has been known for decades that the…
Read More Unveiling the Hidden Messages of Photosynthesis: Deciphering the Language of Plant Life
Bioinformatics | News | Structural Biology | Trending
tFold-Ab: A Novel Antibody Structure Prediction Method without Sequence Homologs
ByDr. Tamanna Anwar December 21, 2022December 20, 2022
Antibodies are crucial components of the immune system, and their structure is critical for their function. Predicting the three-dimensional structure of antibodies without the use of sequence homologs has been a major challenge for researchers in the field of immunology. However, a research team from the University of California, San Francisco, has developed a new…
Read More tFold-Ab: A Novel Antibody Structure Prediction Method without Sequence Homologs
AI | Bioinformatics | Education | Facts | Learn Bioinformatics | Machine Learning | News | NGS | OMICS | Sequencing | Trending
MACHINE LEARNING FOR BIOMARKER DISCOVERY USING NGS DATA
ByCatherene Tomy December 21, 2022December 5, 2023
In this article, we will be exploring how machine learning (ML) techniques can be used to identify and analyze biomarkers from next generation sequencing (NGS) data. Biomarkers are specific biological molecules or characteristics that can be used to identify the presence or severity of a particular disease or condition. They play a crucial role in…
Read More MACHINE LEARNING FOR BIOMARKER DISCOVERY USING NGS DATA
Bioinformatics | News | NGS | OMICS | Paper Summary | RNA-Seq | Transcriptomics | Trending
Bioinformatics Approaches used in Single-cell Technologies: Recent Progress and Future Directions in Applied Research
ByRiya Vishwakarma December 20, 2022December 20, 2022
Researchers from China examined the experimental and bioinformatics approaches used in single-cell research as well as their applications in a variety of industries, thereby predicting future developments in single-cell technology. A growing number of single-cell technologies have been introduced in past years. Large-scale initiatives like the Human Cell Atlas, Mouse Cell Atlas, Mouse RNA Atlas,…
Read More Bioinformatics Approaches used in Single-cell Technologies: Recent Progress and Future Directions in Applied Research
Bioinformatics | Genomics | News | Paper Summary | RNA-Seq | Sequencing | Trending
Annotate_My_Genomes: A Simple Pipeline for Improved Genome Annotation and Neglected Gene Discovery Through Hybrid RNA Sequencing
ByRiya Vishwakarma December 19, 2022December 19, 2022
A simple genome-guided transcriptome annotation pipeline created by researchers from Chile and the University of Manitoba in Winnipeg, Manitoba, Canada, that takes compiled transcripts from hybrid sequencing information as input and recognizes coding and long non-coding RNAs by integrating a number of bioinformatic techniques, including gene reconciliation with earlier annotations in GTF format. The expansion…
Read More Annotate_My_Genomes: A Simple Pipeline for Improved Genome Annotation and Neglected Gene Discovery Through Hybrid RNA Sequencing
AI | Bioinformatics | Computational Models | Deep Learning | Drug Discovery | News | Paper Summary | Trending
Scientists Develop Deep Learning Models for RNA Degradation Prediction via Crowdsourcing, Critically Important for Stable RNA Therapeutics
ByCatherene Tomy December 18, 2022December 17, 2022
Scientists at the University of Stanford display the potential of crowdsourcing in accelerating and enhancing the research process. The study utilized two crowdsourcing platforms, Eterna and Kaggle, to design the RNA input and develop models that predict their degradation profile to aid in the design of stable mRNA therapeutics. The intrinsic instability that causes self-destruction…
Read More Scientists Develop Deep Learning Models for RNA Degradation Prediction via Crowdsourcing, Critically Important for Stable RNA Therapeutics
AI | Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | Machine Learning | News | Paper Summary | SARS-CoV-2 | Trending
Researchers Develop a Machine Learning Model to Predict Whether a COVID-19 Test Might be Positive or Not
ByRiya Vishwakarma December 17, 2022December 17, 2022
A study from Florida Atlantic University used machine learning to provide new evidence for understanding how molecular tests and serology tests are correlated and what features are most useful in COVID-19 testing. This could be useful in helping healthcare providers prioritize testing and treatment for patients most likely to have the virus. Severe Acute Respiratory…
Read More Researchers Develop a Machine Learning Model to Predict Whether a COVID-19 Test Might be Positive or Not
Antibiotic Resistance | Bioinformatics | Cancer Research | News | Paper Summary | Proteomics | Trending
Pancreatic Cancer and Drug Resistance: Researchers Identify Key Metabolic Regulators
ByCatherene Tomy December 16, 2022December 16, 2022
Drug resistance can be countered only by interrupting the adaptive measures taken by the cells to deflect the drug action. Scientists from the School of Pharmacy and Pharmaceutical Sciences, University of Buffalo, performed an extensive study through proteomic analysis that identified key regulators driving the resistance against Gemcitabine, the principal chemotherapeutic against Pancreatic Adenocarcinoma. The…
Read More Pancreatic Cancer and Drug Resistance: Researchers Identify Key Metabolic Regulators
Bioinformatics | Cancer Research | Covid-19 News | Drug Discovery | Health | News | Paper Summary | RNA-Seq | Trending
Human Cell Atlas Mission: A Reference Map for Analyzing Human Health and Identifying, Tracking, and Treating Diseases
ByRiya Vishwakarma December 15, 2022October 22, 2026
In order to better understand human health and to identify, track, and cure diseases, the International Human Cell Atlas collaboration is building detailed reference maps of every human cell, which is life’s basic building block. The Human Cell Atlas aims to map every type of cell in the human body, revolutionizing how we understand biology…
Read More Human Cell Atlas Mission: A Reference Map for Analyzing Human Health and Identifying, Tracking, and Treating Diseases
Bioinformatics | News | Paper Summary | RNA-Seq | Trending
Cell Type-Specific Differential Gene Expression: A Guide Through The Available Methods
ByCatherene Tomy December 14, 2022December 14, 2022
There is no one-size-fits-all approach to differential expression analysis, and the best method for a given dataset depends on the specific research question. Various cell type-specific methods are available, and it is important to choose the method that is appropriate for the data. Nine methods that analyze cell type-specific differential gene expression (csDEG) were compared…
Read More Cell Type-Specific Differential Gene Expression: A Guide Through The Available Methods
Bioinformatics | Machine Learning | News | Paper Summary | Trending
Ten Hacks for Predicting Protein Properties from Sequences using Machine Learning
ByRiya Vishwakarma December 13, 2022December 14, 2022
The success of machine learning-based approaches for the prediction of protein properties from their amino acid sequences can be attributed to the overall accessibility of genome sequencing data. Several reoccurring difficulties have been noted throughout time while reading submitted manuscripts and released publications, which makes it difficult to comprehend and reproduce certain stated findings. A…
Read More Ten Hacks for Predicting Protein Properties from Sequences using Machine Learning
Algorithm | Bioinformatics | Drug Discovery | News | Paper Summary | Trending
DrugRepo: A Scoring Algorithm for Drug Repurposing Incorporating Chemical and Genomic Features
ByCatherene Tomy December 12, 2022December 13, 2022
Scientists from the University of Helsinki, Finland, developed a drug repurposing scoring algorithm, DrugRepo, that predicted 6229 new drug-disease relationships across 545 diseases for 516 approved drugs. The effectiveness of the algorithm was validated through evaluation studies that identified ≥0.4 as an appropriate threshold for discovering new candidate drugs. The study is also accompanied by…
Read More DrugRepo: A Scoring Algorithm for Drug Repurposing Incorporating Chemical and Genomic Features
Bioinformatics | Cancer Research | News | Paper Summary | Phylogenetic Analysis | Precision Medicine | Tools | Trending
Scientists Employed Phylogenetic Approach to Understand the Pattern of Mutation Occurance During Cancer Evolution
ByRiya Vishwakarma December 11, 2022December 11, 2022
Phylogenetic approaches can be used to infer the order in which mutations arise during cancer progression by analyzing patterns of mutation occurrence in a population of cells. By identifying clades of related cells, it is possible to trace the evolutionary history of each cell and determine which mutations occurred first. This information can then be…
Read More Scientists Employed Phylogenetic Approach to Understand the Pattern of Mutation Occurance During Cancer Evolution
Bioinformatics | Metagenomics | News | OMICS | Paper Summary | Tools | Transcriptomics
Metagenomics and Metatranscriptomics: New Insights and Pipelines to Better Navigate Data Analysis
ByCatherene Tomy December 10, 2022December 10, 2022
Scientists at the Institute of Parasitology and Biomedicine and the University of Granada, Spain, collaborated to develop two pipelines that could automate and optimize metagenomics and metatranscriptomics data analysis. These pipelines could be adapted for 16S, shotgun, and RNA-Seq data. Its performance was validated through three studies by assessing their taxonomy classification ability. When Anton…
Read More Metagenomics and Metatranscriptomics: New Insights and Pipelines to Better Navigate Data Analysis
Bioinformatics | Infectious Diseases | News | NGS | Paper Summary | Tools | Trending
TransFlow: a Fast and Efficient Snakemake Workflow for Whole Genome Sequencing Based Transmission Analysis of Mycobacterium tuberculosis
ByRiya Vishwakarma December 9, 2022December 10, 2022
TransFlow (Transmission Workflow), a convenient, quick, effective, and thorough WGS-based transmission analysis pipeline, is presented by Chinese researchers. TransFlow integrates a number of cutting-edge technologies to perform transmission analysis on raw sequencing data. This analysis includes quality control, sequence alignment, variant calling, downstream transmission grouping, transmission network reconstruction, and transmission risk factor inference. TransFlow is…
Read More TransFlow: a Fast and Efficient Snakemake Workflow for Whole Genome Sequencing Based Transmission Analysis of Mycobacterium tuberculosis
AI | Bioinformatics | Biomedical Engineering | Cancer Research | Machine Learning | News | Paper Summary | Trending
Federated Machine Learning Powers the Biggest Brain Tumor Study to Date while Protecting Patient’s Data
ByCatherene Tomy December 8, 2022December 8, 2022
Federated machine learning enables the largest brain tumor study ever conducted without sharing patient data by allowing researchers to securely analyze distributed datasets while maintaining data privacy. The breakthrough research from Penn Medicine and Intel Corporation published in Nature Communications has the potential to revolutionize medical research and improve our understanding of brain tumors. It also provides…
Read More Federated Machine Learning Powers the Biggest Brain Tumor Study to Date while Protecting Patient’s Data
Bioinformatics | Computational Models | Health | News | Paper Summary | Precision Medicine | Trending
MIT Researchers Used Large Language Models to Decode Clinical Health Records in Few Shots
ByRiya Vishwakarma December 7, 2022December 25, 2023
Researchers from MIT CSAIL employed a potent deep-learning model to extract crucial information from electronic health records that might help with personalized medicine. The adoption of electronic health records aims to enhance and simplify healthcare. Beyond the purview of clinical trials, the vast quantity of data in these now-digital records might be utilized to address…
Read More MIT Researchers Used Large Language Models to Decode Clinical Health Records in Few Shots
Bioinformatics | Health | News | Paper Summary | Tools | Trending
UCL Researchers Unraveled the Hidden Patterns Involved in Patients with Multimorbidities
ByShwetha S December 6, 2022December 6, 2022
Researchers at University College London discovered multimorbidity and comorbidity illness trends using a dataset spanning 3.8 million patients in England. Patients and clinicians can use the study findings and interactive online tools to prevent and detect comorbid conditions. In contrast, biomedical researchers and pharmaceutical manufacturers can use them to provide lead compounds targeting common or…
Read More UCL Researchers Unraveled the Hidden Patterns Involved in Patients with Multimorbidities
Bioinformatics | Metabolomics | News | NGS | OMICS | Sequencing | Trending
A Multi-Omics Approach to Earth’s Microbiomes Project Demonstrates Microbial and Metabolite Diversity
ByRiya Vishwakarma December 5, 2022December 5, 2022
Contrasting sharply with the little knowledge of the microbial world’s underlying structure is the rising awareness of its significance and variety. Despite recent developments in DNA sequencing, the establishment of general conclusions regarding microbial life on Earth is hampered by the absence of standardized techniques and shared analytical frameworks. Researchers at the University of California San…
Read More A Multi-Omics Approach to Earth’s Microbiomes Project Demonstrates Microbial and Metabolite Diversity
AI | Bioinformatics | COVID-19 | News | Paper Summary | SARS-CoV-2 | Trending
Meet GenSLMs, A Genome-Level AI Model That Helps Track COVID Variants’ Evolution
ByShwetha S December 4, 2022December 4, 2022
Argonne National Laboratory researchers, together with partners from six different universities, NVIDIA, and Cerebras Inc., have collaborated to create GenSLMs, that learn the evolutionary landscape of the SARS-CoV2 genome using large language models (LLMs) resources. The Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research in 2022 has been awarded to GenSLMs. Rapid sequencing…
Read More Meet GenSLMs, A Genome-Level AI Model That Helps Track COVID Variants’ Evolution
AI | Big Data | Bioinformatics | Genomics | Health | News | OMICS | Precision Medicine | Trending
Amazon’s Big Bet On Bioinformatics – Introduces Amazon OMICS – A Comprehensive Service for Storing, Querying, and Analyzing Genomic and Biological Big Data
ByDr. Tamanna Anwar December 3, 2022December 3, 2022
Amazon Omics is a purpose-built service from Amazon Web Services (AWS) that enables customers to store, query, and analyze genomic and biological data at scale. It offers fast, secure, and cost-effective storage, access, and analysis of large datasets, allowing customers to gain insights from their data and accelerate research quickly. Amazon Omics is designed to…
Read More Amazon’s Big Bet On Bioinformatics – Introduces Amazon OMICS – A Comprehensive Service for Storing, Querying, and Analyzing Genomic and Biological Big Data
AI | Bioinformatics | Computational Models | Machine Learning | News | Paper Summary
Scientists Develop a Machine Learning Model ‘DxFormer’ for Automated Disease Diagnosis
ByShwetha S December 2, 2022December 2, 2022
Fudan University researchers introduced DxFormer, a new automatic diagnostic framework in which each symptom is regarded as a token, formalizing symptom inquiry and disease diagnosis to a language generation model and a sequence classification model, respectively. The decoder encoder structure, an inverted version of Transformer, was utilized to learn the representation of symptoms by jointly…
Read More Scientists Develop a Machine Learning Model ‘DxFormer’ for Automated Disease Diagnosis
Bioinformatics | Cancer Research | Machine Learning | News | Paper Summary | Trending
A New Machine Learning Algorithm Classifies Sinonasal Tumors Based on DNA Methylation
ByRiya Vishwakarma December 1, 2022December 1, 2022
Scientists from Ludwig Maximilians University Hospital Munich, Germany have developed a new machine-learning method for classifying hard to diagnose sinonasal tumors. The DNA methylation information was utilized to thoroughly examine the molecular patterns of sinonasal undifferentiated carcinomas (SNUCs), which were inaccurately defined and contested in earlier investigations. Sinonasal tumors have a variety of histopathologies and…
Read More A New Machine Learning Algorithm Classifies Sinonasal Tumors Based on DNA Methylation
Bioinformatics | Cancer Research | News | NGS | OMICS | Paper Summary | RNA-Seq | Trending
Scientists Decipher the Molecular Subsets Involved in Brain Metastases of Melanoma
ByShwetha S November 30, 2022November 30, 2022
Researchers used a multi-OMICS technique and targeted sequencing (TargetSeq) to identify the processes that may govern the progression of brain metastases. Regardless of intracranial location, it was found that the expression of E-cadherin (Ecad) or Nerve Growth Factor Receptor (NGFR) progresses tumors into proliferative and therapy-resistant states. The investigation of MAPK inhibitor-naive and refractory melanoma…
Read More Scientists Decipher the Molecular Subsets Involved in Brain Metastases of Melanoma
Bioinformatics | News | NGS | Paper Summary | RNA-Seq | Sequencing | Tools | Trending
RNAlysis: a Gateway into RNA Sequencing Data Analysis for Less Computer-savvy Researchers
ByRiya Vishwakarma November 29, 2022November 29, 2022
Qualitative data analysis, understanding patterns, finding possible targets/candidates, and intuitively displaying the results are among the crucially difficult aspects of next-generation sequencing experiments. These challenges are even more difficult for researchers who are not accustomed to writing computer code because the bulk of the analysis tools accessible demand programming knowledge. A customizable Python-based analysis program…
Read More RNAlysis: a Gateway into RNA Sequencing Data Analysis for Less Computer-savvy Researchers
Bioinformatics | Computational Models | Deep Learning | Machine Learning | News | Paper Summary | Proteomics | Trending
Meet AlphaPeptDeep: a Deep Learning Framework for Predicting Peptide Properties from Sequences
ByShwetha S November 28, 2022November 28, 2022
A research team led by Professor Matthias Mann from the Max Planck Institute of Biochemistry has developed AlphaPeptDeep. AlphaPeptDeep is a Python framework built on the PyTorch deep learning library that can learn and predict peptide properties. AlphaPeptDeep additionally includes a plug-in capability that allows non-experts to develop models with just a few lines of…
Read More Meet AlphaPeptDeep: a Deep Learning Framework for Predicting Peptide Properties from Sequences
AI | Bioinformatics | Deep Learning | Neural Network | News | Paper Summary | Trending
ExpressionGAN: Generating Long Designer DNA Sequences On-Demand With Deep Learning
ByRiya Vishwakarma November 27, 2022January 20, 2024
A new deep learning method developed by a team of researchers at Chalmers can generate regulatory DNA sequences that control gene expression in a gene-specific manner. Despite significant sequence divergence from natural DNA, in vivo measurements reveal that 57% of the synthetic sequences with high expression levels outperform the expression levels of the correspondingly highly…
Read More ExpressionGAN: Generating Long Designer DNA Sequences On-Demand With Deep Learning
Bioinformatics | Infectious Diseases | Metagenomics | News | NGS | Paper Summary | Trending
Enhancing the Comprehensive Diagnosis of Neonatal Infectious Diseases Through Metagenomic Next-Generation Sequencing
ByShwetha S November 26, 2022November 26, 2022
Scientists from Xi’an Children’s Hospital have shown that metagenomic next-generation sequencing (mNGS) of cell-free DNA (cfDNA) and RNA may help detect trace infections from various bodily fluids and blood samples extracted from newborns. Researchers also performed a local polynomial regression fitting analysis, which revealed that the best time for detecting mNGS was 1 to 3…
Read More Enhancing the Comprehensive Diagnosis of Neonatal Infectious Diseases Through Metagenomic Next-Generation Sequencing
Bioinformatics | Chronic Diseases | Computational Models | Health | Machine Learning | News | Paper Summary | Trending
Scientists Develop Novel Machine Learning Models to Predict Comorbidities at an Early Stage of Type 2 Diabetes Mellitus
ByRiya Vishwakarma November 25, 2022November 25, 2022
Researchers at AstraZeneca and Ono Pharmaceuticals sought to create a model that could predict the likelihood that individuals with Type 2 Diabetes Mellitus (T2DM) who had no prior history of CKD or CVDs would develop CKD/HF. Using the prediction model, it would be possible to identify individuals with T2DM who are at a high risk…
Read More Scientists Develop Novel Machine Learning Models to Predict Comorbidities at an Early Stage of Type 2 Diabetes Mellitus
Antibiotic Resistance | Bioinformatics | News | Paper Summary | Trending
Scientists Created a High-Resolution Global Map of Clinically Relevant Antimicrobial Resistance Genes
ByShwetha S November 24, 2022November 29, 2022
Researchers from the University of Antwerp screened 17939 assembled metagenomic samples from 21 different biomes, varying in sequencing quality and depth, over 46 countries, across 6 continents, for a period of 14 years (2005-2019) for clinically crucial antibiotic resistance genes (ARGs) commonly found in human biomes, anthropogenic biomes, and natural biomes such as freshwater, marine,…
Read More Scientists Created a High-Resolution Global Map of Clinically Relevant Antimicrobial Resistance Genes
Big Data | Bioinformatics | News | NGS | Paper Summary | RNA-Seq | Tools | Transcriptomics | Trending
Multi-platform Universal Single-cell RNAseq Data Processing Pipeline – UniverSC
ByRiya Vishwakarma November 23, 2022November 23, 2022
Scientists at the Center for Integrative Medical Sciences Yokohama, Japan, designed a platform-independent application to run UniverSC, a wrapper for the 10X Genomics CellRanger program that works with different single-cell technologies, via a graphical user interface, operable on macOS, Windows, and Linux Ubuntu, eliminating data processing for single-cell RNAseq (scRNAseq) analysis for researchers who are naive to…
Read More Multi-platform Universal Single-cell RNAseq Data Processing Pipeline – UniverSC
AI | Bioinformatics | Cancer Research | Machine Learning | News | Trending
Scientists Developed a Novel AI Blood Test ‘DELFI’ for Early Detection of Liver Cancer
ByDr. Tamanna Anwar November 22, 2022November 22, 2022
Johns Hopkins Kimmel Cancer Center researchers developed and used artificial intelligence blood testing technology. The new blood testing technology detected liver cancer in more than 80% of participants in a study of 724 people. The technology, which uses a machine learning algorithm to analyze blood samples, showed promise in a previous study for detecting lung…
Read More Scientists Developed a Novel AI Blood Test ‘DELFI’ for Early Detection of Liver Cancer
AI | Bioinformatics | News | Paper Summary | Structural Biology | Trending
FASSO: An AlphaFold-based Method Combines Sequence and Structure Orthology to Assign Functional Annotations to Proteins
ByRiya Vishwakarma November 21, 2022November 21, 2022
AlphaFold, a machine learning system developed by Google DeepMind, can predict the three-dimensional structures of proteins with unprecedented accuracy, leading to a better understanding of how these structures relate to function. The researchers from USDA-ARS describe a methodology “Functional Annotations using Sequence and Structure Orthology (FASSO),” which takes advantage of AlphaFold along with sequence and…
Read More FASSO: An AlphaFold-based Method Combines Sequence and Structure Orthology to Assign Functional Annotations to Proteins
AI | Algorithm | Bioinformatics | Chronic Diseases | Health | News | Trending
Smartwatch ECG Signals Transformed into Diagnostic Tools for Heart Failure using Artificial Intelligence
ByDr. Tamanna Anwar November 20, 2022November 23, 2022
A new study published by researchers at the Mayo Clinic has shown that a smartwatch ECG can accurately detect heart failure in nonclinical environments. This is a significant breakthrough because it shows that heart failure can now be detected earlier and more effectively. The research published in Nature Medicine reports a couple of health technology…
Read More Smartwatch ECG Signals Transformed into Diagnostic Tools for Heart Failure using Artificial Intelligence
Bioinformatics | News | Paper Summary | Statistics | Trending
Functional Connectivity MultiVariate Pattern Analysis – A Novel Method for the Analysis of Human Connectome
ByShwetha S November 19, 2022November 29, 2022
In the article released in PLoS Computational Biology, researcher Alfonso Nieto-Castanon of Boston University describes a technique called fc-MVPA (functional connectivity Multivariate Pattern Analysis). The novel technique uses classic MVPA to evaluate each voxel in a three-dimensional space and traces functional connections to the brain. Monte Carlo simulations are also used in the study to…
Read More Functional Connectivity MultiVariate Pattern Analysis – A Novel Method for the Analysis of Human Connectome
Bioinformatics | Cancer Research | Drug Discovery | News | NGS | OMICS | Paper Summary | Precision Medicine | Trending
A Bioinformatics Roadmap for Drug Prioritization from Cancer Genomics Data
ByRiya Vishwakarma November 18, 2022October 22, 2026
Cancer is a complicated disease brought on by the interaction of various informational layers. Tumor origin, the appearance of genomic and transcriptomic variations, or interactions with the microenvironment are all factors that contribute to the difficulty of treating tumors. With reference to the types of tumor heterogeneity and the accessible data from next-generation sequencing, the…
Read More A Bioinformatics Roadmap for Drug Prioritization from Cancer Genomics Data
Big Data | Bioinformatics | Computational Models | Genomics | GWAS | News | Paper Summary | Trending
CLIMB – A New Statistical Method for Improved Large Scale Genomic Data Analysis
ByShwetha S November 17, 2022November 29, 2022
Researchers from Penn State University present CLIMB (Composite Likelihood eMpirical Bayes), a statistical tool that discovers patterns of condition specificity in a given genomic data. It also provides a generic framework for a variety of investigations, such as aggregating genomic features with comparable condition-specific patterns. CLIMB outperforms the existing options in statistical precision while capturing…
Read More CLIMB – A New Statistical Method for Improved Large Scale Genomic Data Analysis
Bioinformatics | Cancer Research | Deep Learning | Drug Discovery | News | Paper Summary | Precision Medicine | Trending
Researchers Introduce a Deep Learning Platform ‘OrganoID’ to Track Single-organoid Dynamics for Drug Exploration
ByMahi Sharma November 16, 2022October 22, 2026
Recent research conducted by the research group of Savas Tay at the University of Chicago, Illinois, USA, introduced a deep learning platform, OrganoID to analyze and interpret the organoid models for personalized drug screening. The team has interpreted results and validated the platform using pancreatic cancer organoid images, revolutionizing biomedicine. Introduction Organoid research has…
Read More Researchers Introduce a Deep Learning Platform ‘OrganoID’ to Track Single-organoid Dynamics for Drug Exploration
Bioinformatics | Deep Learning | GWAS | News
A Novel Deep Learning Framework Identifies Gene-Gene Interactions for a Given Phenotype
ByShwetha S November 15, 2022November 15, 2022
A deep learning framework has been developed by researchers under the direction of Tianyu Cui, a Ph.D. student in the Department of Computer Science at Aalto University, to identify the gene-gene interactions underlying a given phenotype by taking into account all single nucleotide polymorphisms within a set of genes or complex interactions and calculating their…
Read More A Novel Deep Learning Framework Identifies Gene-Gene Interactions for a Given Phenotype
Bioinformatics | Covid-19 News | News | NGS | Paper Summary | RNA-Seq | SARS-CoV-2 | Structural Biology
Researchers Elucidated the Dynamic RNA Structurome and its Potential in Targeted Therapeutics
ByMahi Sharma November 14, 2022November 29, 2022
With a thorough potential of the Ribonucleic Acids (RNA) in cellular processes, the molecule is deemed more than just being transitionary and has emerged as a master regulator of cellular processes. The regulatory functions to code proteins and untranslated regions in mRNA significantly contribute towards post-translational modifications. A review published in Nature Reviews Genetics gives biological insights…
Read More Researchers Elucidated the Dynamic RNA Structurome and its Potential in Targeted Therapeutics
Bioinformatics | Genomics | News | NGS | Paper Summary | Sequencing | Trending
Scientists Unveil High-Resolution Reference Genome of Nile Rat – A Promising Animal Model for Diabetes Research
ByShwetha S November 13, 2022November 13, 2022
A research team led by Yury V. Bukhman from the Morgridge Institute for Research has put forth a reference genome with haplotype-resolved assemblies and gene annotations deciphering the Nile Rat (Arvicanthis niloticus) as a carbohydrate-sensitive model for diabetes research. An animal model is a living, genetically engineered organism used for research and investigating human diseases….
Read More Scientists Unveil High-Resolution Reference Genome of Nile Rat – A Promising Animal Model for Diabetes Research
Bioinformatics | Cancer Research | Genomics | News | NGS | Paper Summary | RNA-Seq | Sequencing | Trending
A Novel CRISPR-based Technique ‘MACHETE’ Investigates Copy Number Alterations in Cancer Genome
ByMahi Sharma November 12, 2022January 10, 2024
The post-doctoral researchers from Memorial Sloan Kettering Cancer Centre (MSK) developed an upfront and coherent way to study copy number alterations (CNA) deletions in the laboratory using the pancreatic and melanoma cancer mouse models. The CRISPR-based method revealed clinically relevant observations into the multifaceted nature of 9p21.3 ommissions that contribute to up to 15% of…
Read More A Novel CRISPR-based Technique ‘MACHETE’ Investigates Copy Number Alterations in Cancer Genome

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