Friday, June 2, 2023
Meet Genomics to Notebook (g2nb): A Comprehensive Notebook Solution to Tackle Challenges in Bioinformatics Analysis

Meet Genomics to Notebook (g2nb): A Comprehensive Notebook Solution to Tackle Challenges in Bioinformatics Analysis

Dr. Tamanna Anwar -
Simulation Tools Shape the Landscape of New Generation Gene Silencing Therapies

Simulation Tools Shape the Landscape of New Generation Gene Silencing Therapies

Banhita Maitra -
Fast and Accurate Imaging of Proteins in Cells with TomoTwin: A Novel AI-based Software

Fast and Accurate Imaging of Proteins in Cells with TomoTwin: A Novel AI-based Software

Banhita Maitra -
Meet Foldseek: A High-Performance Deep Learning Approach for Fast and Accurate Protein Structure Search

Meet Foldseek: A High-Performance Deep Learning Approach for Fast and Accurate Protein Structure Search

Banhita Maitra -
Machine Learning-aided Auditory Categorization Model Decodes How Brains Recognize Communication Sounds

Machine Learning-aided Auditory Categorization Model Decodes How Brains Recognize Communication Sounds

Banhita Maitra -
Improving Protein Binder Design: The Tenfold Leap with Deep Learning

Improving Protein Binder Design: A Tenfold Leap with Deep Learning

Banhita Maitra -
Google Unveils REMEDIS: A Self-Supervised Learning Approach for Robust and Enhanced Medical Imaging

Google Unveils REMEDIS: A Self-Supervised Learning Approach for Robust and Enhanced Medical Imaging

Sipra Das -
Transcriptome-Wide Prediction of Chemical Messenger RNA Modifications: A Novel Approach Using Machine Learning

Transcriptome-Wide Prediction of Chemical Messenger RNA Modifications: A Novel Approach Using Machine Learning

Banhita Maitra -
How Single-cell RNA Sequencing is Changing Drug Discovery and Development

Discover How Single-cell RNA Sequencing is Transforming the Drug Discovery and Development Landscape

Sipra Das -
Revolutionizing Fragment-based Drug Discovery: An Automated, Open-Source Workflow for Generating 3D Fragment Libraries

Revolutionizing Fragment-based Drug Discovery: An Automated, Open-Source Workflow for Generating 3D Fragment Libraries

Banhita Maitra -
Meet OrthoVenn3: A Powerful, Web-Based Platform for Analyzing and Visualizing Orthologous Data Across Genomes

Meet OrthoVenn3: A Powerful, Web-based Platform for Analyzing and Visualizing Orthologous Data Across Genomes

Sipra Das -
Meet scGPT: A Cutting-edge Foundation Model for Single-cell Multiomics using Generative AI

Meet scGPT: A Cutting-edge Foundation Model for Single-cell Multiomics using Generative AI

Banhita Maitra -
Broad's Scientists Introduce a Machine Learning Model to Identify Genetic Factors for Cardiovascular Diseases

Broad’s Scientist Introduce a Machine Learning Model to Identify Genetic Factors for Cardiovascular Diseases

Sipra Das -
Deep Learning Aided Image-Based Plant Phenotyping: A Benchmarking Study of Self-Supervised Contrastive Learning Methods

Deep Learning Aided Image-Based Plant Phenotyping: A Benchmarking Study of Self-Supervised Contrastive Learning Methods

Banhita Maitra -
De Novo Protein Interaction Design from Protein Surface Fingerprints using a Geometric Deep Learning Model 'MaSIF-seed'

De Novo Protein Interaction Design from Protein Surface Fingerprints using a Geometric Deep Learning Model ‘MaSIF-seed’

Sipra Das -
Reshaping the Process of Drug Discovery: The Power of AI and Virtual Libraries in Giga-scale Screening

Reshaping the Process of Drug Discovery: The Power of AI and Virtual Libraries in Giga-scale Screening

Banhita Maitra -
Meet MitoTNT: A Novel Approach for Tracking Mitochondrial Temporal Network in 4D Live-cell Fluorescence Microscopy Data

Meet MitoTNT: A Novel Approach for Tracking Mitochondrial Temporal Network in 4D Live-cell Fluorescence Microscopy Data

Sipra Das -
Streamlining Single-Cell RNA-Seq Analysis with OpenAI's GPT-4: Reference-Free and Affordable Automated Cell Type Annotation

Streamlining Single-Cell RNA-Seq Analysis with OpenAI’s GPT-4: Reference-Free and Affordable Automated Cell Type Annotation

Banhita Maitra -
ProInfer: A Shotgun Proteomics-Based Protein Quantification Approach

Bridging the Gap Between Proteomics and Systems Biology with ProInfer: A Machine Learning-based Approach for Protein Inference Analysis

Sipra Das -
New Insights into the Etiologies of Early-Onset Colorectal Cancer Through an Integrative Multi-Omics Study

New Insights into the Etiologies of Early-Onset Colorectal Cancer Through an Integrative Multi-Omics Study

Diyan Jain -
Accurate Prediction of Protein Binding Interfaces with PeSTo: A Parameter-free Geometric Deep Learning Model

Accurate Prediction of Protein Binding Interfaces with PeSTo: A Parameter-free Geometric Deep Learning Model

Sipra Das -
New Study Reveals Extensive Person-to-Person Gut and Oral Microbiome Transmission Landscape

New Study Reveals Extensive Person-to-Person Gut and Oral Microbiome Transmission Landscape

Diyan Jain -
Long-Term Protection from COVID-19: The Promise of T-Cell Vaccines Designed using Machine Learning Platform RAVEN

Long-Term Protection from COVID-19: The Promise of T-Cell Vaccines Designed using Machine Learning Platform ‘RAVEN’

Banhita Maitra -
Pediatric Rare Disease Diagnosis using Trio RNA sequencing

Pediatric Rare Disease Diagnosis using Trio RNA Sequencing

Sipra Das -
Unleashing the Power of OpenAI's ChatGPT for Solving Bioinformatics Programming Tasks

Unleashing the Power of OpenAI’s ChatGPT for Solving Bioinformatics Programming Tasks

Diyan Jain -
EMBL-EBI Researchers Develop a Phylogenetic Tool MAPLE to Uncover Insights from Pandemic-scale Genome Data

EMBL-EBI Researchers Develop a Phylogenetic Tool ‘MAPLE’ to Uncover Insights from Pandemic-scale Genome Data

Sipra Das -
Tracking Gene Expression Changes in Single Cells over Time and Space with TEMPOmap

Tracking Gene Expression Changes in Single Cells over Time and Space with TEMPOmap

Banhita Maitra -
Uncovering Biological Applications of Julia: A Programming Language with Incredible Speed, Abstraction and Metaprogramming Abilities

Uncovering Biological Applications of Julia: A Programming Language with Incredible Speed, Abstraction, and Metaprogramming Abilities

Diyan Jain -
Extracting Specific and Sensitive Biomarkers from Massive Microbial Genomic Datasets with SHINE: A Novel Approach

Extracting Specific and Sensitive Biomarkers from Massive Microbial Genomic Datasets with SHINE: A Novel Approach

Sipra Das -
Single-cell Based AI Pathologist for Rapid Physical Phenotyping of Cancer Biopsies

Single-cell Based AI Pathologist for Rapid Physical Phenotyping of Cancer Biopsies

Banhita Maitra -
Efficiently Identifying Bispecific Antibodies using High Throughput Single-Cell BsAb Discovery Pipeline

Efficiently Identifying Bispecific Antibodies using High Throughput Single-cell BsAb Discovery Pipeline

Diyan Jain -
Overcoming Challenges in Detecting and Quantifying Splicing Variations in Large RNA-seq Datasets with MAJIQ v2

Overcoming Challenges in Detecting and Quantifying Splicing Variations in Large RNAseq Datasets with MAJIQ v2

Banhita Maitra -
KCL Researchers Develop DNAscan2: A Highly Flexible, End-to-End Pipeline for NGS Data Analysis

KCL Researchers Develop DNAscan2: A Highly Flexible, End-to-End Pipeline for NGS Data Analysis

Diyan Jain -
Transforming Functional Genomics Research using EN-TEx: A Resource of Multi-tissue Epigenomes & Variant-Impact Models

Transforming Functional Genomics Research using EN-TEx: A Resource of Multi-tissue Epigenomes & Variant-Impact Models

Diyan Jain -
Recent Research Unveils New Genomic Landscape of the Human Gut Microbiome

Recent Research Unveils New Genomic Landscape of the Human Gut Microbiome

Banhita Maitra -
Using Virtual Reality-based Real-Time Imaging to Understand Brain Activity and Behaviour in Neuropsychiatric Disorders

Using Virtual Reality-based Real-time Imaging to Unravel the Complexities of Autism’s Neural Network Dynamics

Diyan Jain -
DiffDock: A Diffusion Generative Model-based Approach for Molecular Docking

MIT’s DiffDock: A Breakthrough Diffusion Generative Model-based Approach for Molecular Docking

Banhita Maitra -
PALMO is a Novel Software Platform for Longitudinal Multi-omics Data Analysis

Researchers Introduce PALMO: A Novel Software Platform for Longitudinal Multi-omics Data Analysis

Diyan Jain -
Enhancing de novo Drug Design with QADD: A Powerful Combination of Reinforcement Learning and Graph-based Molecular Quality Assessment

Enhancing De Novo Drug Design with QADD: A Powerful Combination of Reinforcement Learning and Graph-based Molecular Quality Assessment

Banhita Maitra -
Precise Protein-Ligand-Binding Site Mapping with SiteRadar: A Graph Machine Learning Algorithm

Precise Protein-Ligand-Binding Site Mapping with ‘SiteRadar’: A Graph Machine Learning Algorithm

Sejal Saxena -
Researchers Offer an Innovative Single Test-Based Approach for Early Stage Cancer Diagnosis using Exosomes, SERS Technology and AI

Researchers Offer an Innovative Single Test-Based Approach for Early Stage Cancer Diagnosis using Exosomes, SERS Technology, and AI

Diyan Jain -
LLNL Scientists Introduce Cutting-Edge Model for More Efficient Simulations of Cancer-Linked Protein Interactions

LLNL Scientists Introduce Cutting-edge Theoretical Model for More Efficient Simulations of Cancer-linked Protein Interactions

Banhita Maitra -
Evaluating the Efficacy of Deep Learning Algorithms for Predicting Drug Synergy in Cancer Treatment

Evaluating the Efficacy of Deep Learning Algorithms for Predicting Drug Synergy in Cancer Treatment

Sejal Saxena -
New workflow predicts drug targets against SARS-CoV-2 via metabolic changes in infected cell.

Novel Workflow Uses Targeted Computer Modeling to Predict Druggable Targets Against SARS-CoV-2

Banhita Maitra -
Unravelling Spatial Transcriptomics: A Benchmark Study of Cellular Deconvolution Methods

Unravelling Spatial Transcriptomics: A Benchmark Study of Cellular Deconvolution Methods

Diyan Jain -
Penn Scientists Introduce 'PocketMiner' for Predicting Cryptic Pockets in Proteins and Expanding the Druggable Proteome

Penn Scientists Introduce ‘PocketMiner’ for Predicting Cryptic Pockets in Proteins and Expanding the Druggable Proteome

Sejal Saxena -
Integrated Gut-Liver-on-a-chip 'iGLC' Platform: an Innovative Human Model for Non-Alcoholic Fatty Liver Disease

Scientists Introduce Integrated-gut-liver-on-a-chip ‘iGLC’ Platform: an Innovative Human Model for Non-Alcoholic Fatty Liver Disease

Banhita Maitra -
Machine Learning-aided Multiscale Transcriptomics Results in Pediatric Cancer Atlas for Diagnostic Classification

Machine Learning-aided Multiscale Transcriptomics Results in Pediatric Cancer Atlas for Diagnostic Classification

Banhita Maitra -
Transforming Protein Design with "ProT-VAE": A Novel Approach Made Protein Engineering Easier with Deep Learning

Transforming Protein Design with “ProT-VAE”: A Novel Approach Made Protein Engineering Easier with Deep Learning

Sejal Saxena -
Meet DiNiro: An Interactive Platform for Single-cell RNAseq-based Gene Regulatory Network Analysis

Meet DiNiro: An Interactive Platform for Single-cell RNAseq-based Gene Regulatory Network Analysis

Banhita Maitra -

Must Read

Exploring Protein Modifications in Metabolic Diseases: Molecular Mechanisms and Therapeutic Strategies

Exploring Protein Modifications in Metabolic Diseases: Molecular Mechanisms and Therapeutic Strategies

Aditi Sarkar - 0
Comprehensive introspection of cellular and molecular level aberrations that prompted the worldwide prevalence of life-threatening Non Communicable Diseases like Diabetes, Obesity, Hypertension, Nonalcoholic Fatty...
Meet MDASAE: A Novel Microbe-Drug Association Prediction Model

Meet MDASAE: A Novel Microbe-Drug Association Prediction Model

Aditi Sarkar - 0
Scientists from the Hengyang Normal University, China, designed a stacked autoencoder (SAE) with a multi-head attention mechanism-based microbe drug association prediction model named MDASAE....
Repurposing 'Failed' Antibiotics: A Promising Approach for Herbicide Development

Repurposing ‘Failed’ Antibiotics: A Promising Approach for Herbicide Development

Dr. Tamanna Anwar - 0
Resilient weeds, impervious to herbicides, present a grave danger to both the environment and the agricultural sector. The pressing demand for fresh herbicides, armed...
Transforming Natural Product Identification Through Deep Self-Supervised Learning Language Models

Transforming Natural Product Identification through Deep Self-Supervised Learning Language Models

Aditi Sarkar - 0
Scientists from the Microsoft Research Lab, Cambridge, have designed a Self-Supervised Neural Network Masked Language Model named BiGCARP to accelerate the identification and classification...
Accelerating Genomic Analysis with GPUs: Meet the Genomics-GPU Benchmark Suite

Accelerating Genomic Analysis with GPUs: Meet the Genomics-GPU Benchmark Suite

Dr. Tamanna Anwar - 0
Genomic analysis plays a vital role in various areas, such as disease detection, drug development, and genetic disease identification. With the exponential growth of...

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