Thursday, December 1, 2022
HomeOMICS

OMICS

Popular

Trending

Enhancing the Comprehensive Diagnosis of Neonatal Infectious Diseases Through Metagenomic Next-Generation Sequencing

Scientists from Xi’an Children’s Hospital have shown that metagenomic next-generation sequencing (mNGS) of cell-free DNA (cfDNA) and RNA may help detect trace infections from...

Scientists Develop Novel Machine Learning Models to Predict Comorbidities at an Early Stage of Type 2 Diabetes Mellitus

Researchers at AstraZeneca and Ono Pharmaceuticals sought to create a model that could predict the likelihood that individuals with Type 2 Diabetes Mellitus (T2DM)...

Scientists Created a High-Resolution Global Map of Clinically Relevant Antimicrobial Resistance Genes

Researchers from the University of Antwerp screened 17939 assembled metagenomic samples from 21 different biomes, varying in sequencing quality and depth, over 46 countries,...

Multi-platform Universal Single-cell RNAseq Data Processing Pipeline – UniverSC

Scientists at the Center for Integrative Medical Sciences Yokohama, Japan, designed a platform-independent application to run UniverSC, a wrapper for the 10X Genomics CellRanger program that...

Scientists Developed a Novel AI Blood Test ‘DELFI’ for Early Detection of Liver Cancer

Johns Hopkins Kimmel Cancer Center researchers developed and used artificial intelligence blood testing technology. The new blood testing technology detected liver cancer in more...

FASSO: An AlphaFold-based Method Combines Sequence and Structure Orthology to Assign Functional Annotations to Proteins

AlphaFold, a machine learning system developed by Google DeepMind, can predict the three-dimensional structures of proteins with unprecedented accuracy, leading to a better understanding...

Smartwatch ECG Signals Transformed into Diagnostic Tools for Heart Failure using Artificial Intelligence

A new study published by researchers at the Mayo Clinic has shown that a smartwatch ECG can accurately detect heart failure in nonclinical environments....

Functional Connectivity MultiVariate Pattern Analysis – A Novel Method for the Analysis of Human Connectome

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)....

A Bioinformatics Roadmap for Drug Prioritization from Cancer Genomics Data

Cancer is a complicated disease brought on by the interaction of various informational layers. Tumor origin, the appearance of genomic and transcriptomic variations, or...

CLIMB – A New Statistical Method for Improved Large Scale Genomic Data Analysis

Researchers from Penn State University present CLIMB (Composite Likelihood eMpirical Bayes), a statistical tool that discovers patterns of condition specificity in a given genomic...

Researchers Introduce a Deep Learning Platform ‘OrganoID’ to Track Single-organoid Dynamics for Drug Exploration

Recent research conducted by the research group of Savas Tay at the University of Chicago, Illinois, USA, introduced a deep learning platform, OrganoID to...

A Novel Deep Learning Framework Identifies Gene-Gene Interactions for a Given Phenotype

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...

Researchers Elucidated the Dynamic RNA Structurome and its Potential in Targeted Therapeutics

With a thorough potential of the Ribonucleic Acids (RNA) in cellular processes, the molecule is deemed more than just being transitionary and has emerged...

Scientists Unveil High-Resolution Reference Genome of Nile Rat – A Promising Animal Model for Diabetes Research 

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...

A Novel CRISPR-based Technique ‘MACHETE’ Investigates Copy Number Alterations in Cancer Genome

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...

Multidimensional Semantic Scan – A Presyndromic Surveillance Approach For Screening Potential Public Health Threats

Researchers from New York University, Carnegie Mellon University, and the New York City Health Department have joined forces to develop an automated machine-learning approach...

An International Collaborative Effort Assessed The Applications Of AlphaFold2

Teams of researchers across 18 institutes spread over 11 countries have worked together to assess the utility of AlphaFold2 (AF2) predictions in the analysis...

Large-scale Proteo-genomic Profiling of Virus-associated Liver Cancer Unveils Potential Subtypes and Therapeutic Targets

A large percentage of the global population is shown to have been affected by different types of cancer and increased mortality. Hepatocellular carcinoma, or...

Meet Deep-SMOLM: A Machine Learning Algorithm for Generating 5D Images of Proteins

Deep-SMOLM is a deep-learning-based estimator created by Washington University in St. Louis researchers that blends machine learning, physical laws, and biological principles. At a...

Researchers Developed Machine Learning-Based Enzyme Engineering Approach by Integrating a Logistic Regression Model

A recent study published in ACS Synthetic Biology has presented an analogous level of adaptability to enzymes. A team of researchers from Osaka University...

Learn Bioinformatics

Must Read

DNA methylation classes of sinonasal tumors

A New Machine Learning Algorithm Classifies Sinonasal Tumors Based on DNA Methylation

0
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...
Molecular Subsets Involved in Brain Metastases of Melanoma

Scientists Decipher the Molecular Subsets Involved in  Brain Metastases of Melanoma

0
Researchers used a multi-OMICS technique and targeted sequencing (TargetSeq) to identify the processes that may govern the progression of brain metastases. Regardless of intracranial...
RNAlysis: RNA Sequencing Data Analysis for Less Computer-savvy Researchers

RNAlysis: a Gateway into RNA Sequencing Data Analysis for Less Computer-savvy Researchers

0
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...
AlphaPeptDeep: a Deep Learning Framework for Predicting Peptide Properties

Meet AlphaPeptDeep: a Deep Learning Framework for Predicting Peptide Properties from Sequences

0
A research team led by Professor Matthias Mann from the Max Planck Institute of Biochemistry has developed AlphaPeptDeep. AlphaPeptDeep is a Python framework built...
ExpressionGAN: Generating Long Designer DNA Sequences On-Demand With Deep Learning

ExpressionGAN: Generating Long Designer DNA Sequences On-Demand With Deep Learning

0
A new deep learning method developed by a team of researchers at Chalmers can generate regulatory DNA sequences that control gene expression in a...