Cell

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Human Genome in 4D: Mapping Structure, Function, and Dynamics
ByAnchal Negi January 10, 2026October 22, 2026

An integrated atlas of the human 4D genome just dropped, and it is breathtaking in its ambition. In a massive consortium effort, researchers from various institutions, including UMass Chan Medical School, Northwestern University, and other collaborators, have assembled one of the most comprehensive views to date of how the human genome folds and functions in…

Read More Human Genome in 4D: Mapping Structure, Function, and Dynamics
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The Future of Cell Modeling: Building Virtual Cells with Artificial Intelligence
ByDeotima Chakraborty September 27, 2024October 22, 2026

One of the most important concepts in biology is the cell, which is perhaps the smallest unit of life. This understanding and identifying the underlying causes of the disease depend on accurate cell modeling. New possibilities for modeling cells are presented by recent developments in artificial intelligence (AI) and the capacity to produce massive amounts…

Read More The Future of Cell Modeling: Building Virtual Cells with Artificial Intelligence
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Unlocking Cell Biology with AI: How Large Language Models Comprehend the Complexity of Genes and Cells
ByAnchal Negi April 14, 2024October 22, 2026

Picture a world where computers can not only translate languages but also decipher biology’s convoluted language. This is the exciting frontier of Large Language Models (LLMs) that could transform our knowledge of genes and cells, which are the foundation of all life forms. Researchers from the Center, Chinese Academy of Sciences, China, explore this intriguing…

Read More Unlocking Cell Biology with AI: How Large Language Models Comprehend the Complexity of Genes and Cells
Bioinformatics | Cell | News | NGS | Paper Summary | RNA-Seq | Sequencing | Tools | Transcriptomics | Trending

Deciphering Ligand-Receptor Signaling Dynamics at Cellular Resolution with CytoSignal: A Breakthrough in Spatial Transcriptomics
ByDeotima Chakraborty March 19, 2024October 22, 2026

A thorough understanding of the cellular connections inside these tissues is being made possible by technologies that use spatial transcriptomic approaches to revolutionize the study of ligand-receptor signaling in tissues. CytoSignal was created by researchers from the University of Texas and the University of Michigan to use spatial transcriptomic data to infer the locations and…

Read More Deciphering Ligand-Receptor Signaling Dynamics at Cellular Resolution with CytoSignal: A Breakthrough in Spatial Transcriptomics
Bioinformatics | Cancer | Cell | News | Paper Summary | RNA-Seq | Trending

MIT’s Noninvasive Technique “Raman2RNA” Reveals Cells’ Gene Expression Dynamics Over Time
ByDeotima Chakraborty January 20, 2024January 20, 2024

Understanding cell dynamics, regulation, and characteristics has been revolutionized by profiling tests at a previously unheard-of resolution. Nevertheless, the destructive nature of these techniques makes it difficult to monitor the temporal dynamics of living cells. Although it lacks genetic and molecular interpretability, Raman microscopy offers a unique way to report vibrational energy levels at subcellular…

Read More MIT’s Noninvasive Technique “Raman2RNA” Reveals Cells’ Gene Expression Dynamics Over Time
Bioinformatics | Cell | News | NGS | Paper Summary | Trending

BaseMEMOIR: Breakthrough in Cell Lineage Tracing with Image-readable Base Editor Recording
ByAnchal Negi January 11, 2024January 10, 2024

For decades, tracing the lineage of individual cells has been a difficult and unreliable task. Existing methods like dye labeling and genetic barcoding have many limitations. To tackle these limitations and problems, a group of researchers from the California Institute of Technology, USA, developed “baseMEMOIR,” a multiplexed phylogenetic recording system that enables detailed recording of…

Read More BaseMEMOIR: Breakthrough in Cell Lineage Tracing with Image-readable Base Editor Recording
Big Data | Bioinformatics | Cell | Genomics | Machine Learning | News | Paper Summary | Tools | Trending

CellHint Revolutionizes Human Cell Atlas: Automatic Cell Type Harmonization Paves the Way for New Discoveries
BySonal Keni December 29, 2023January 4, 2024

Over the past few years, a large number of single-cell genomics datasets that profile a range of tissues in different stages of development have been created. These resources have been incorporated in the creation of a standard reference map for human bodies by consortia like the Human Cell Atlas. However, different labs may have different…

Read More CellHint Revolutionizes Human Cell Atlas: Automatic Cell Type Harmonization Paves the Way for New Discoveries
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BROAD Scientists Introduce Slide-tags: A Novel Method for Mapping Cells in Single-cell Studies
BySonal Keni December 29, 2023January 4, 2024

Despite huge leaps being made in the field of gene profiling in recent years, few of the tools developed for single-cell and single-nucleus sequencing take into account spatial variations and positioning, thus leading to the loss of invaluable data. A new method, Slide-tags, aims to remedy this in a manner that is efficient and can…

Read More BROAD Scientists Introduce Slide-tags: A Novel Method for Mapping Cells in Single-cell Studies
AI | Bioinformatics | Cell | Genomics | Health | News | Precision Medicine | Trending

Real-Time Cellular Analysis on Your Wrist: ‘Genomic Smartwatch’ May Offer Continuous Insights into Your Health
ByDr. Tamanna Anwar December 22, 2023October 22, 2026

A ‘Genomic Smartwatch’ technology initiative launched by the Seattle Hub for Synthetic Biology will provide instantaneous observations of individual cell transformations, potentially transforming the landscape of disease research and intervention. An exciting new project brings together some of the biggest brains in science on a mission to install tiny bio computers inside our cells! These cellular trackers…

Read More Real-Time Cellular Analysis on Your Wrist: ‘Genomic Smartwatch’ May Offer Continuous Insights into Your Health
AI | Bioinformatics | Cell | Genomics | News | Paper Summary | RNA-Seq | Tools | Trending

Unlocking the Secrets of Life: Universal Cell Embeddings – A Revolutionary Foundation Model for Cell Biology
ByDeotima Chakraborty December 7, 2023December 7, 2023

Universal Cell Embedding (UCE) is a foundation model proposed by a group of scientists from Stanford University. Using a corpus of cell atlas data from humans and other species, UCE was trained entirely self-supervised without the need for any data annotations. Regardless of tissue or species, any cell can be represented by UCE’s unified biological…

Read More Unlocking the Secrets of Life: Universal Cell Embeddings – A Revolutionary Foundation Model for Cell Biology
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Unravel Cell-cell Communication with CellPhoneDB v5: A Cutting-edge Single-cell Multiomics Toolkit
BySwasti Tyagi November 19, 2023November 23, 2023

We often underestimate the crucial role played by communications between cells to sustain living organisms. Flawless communication between cells is a necessity to maintain regenerative functions and to ensure the healthy development of tissues; even the slightest miscommunication can lead to severe consequences for the development of vital organs, therefore increasing vulnerability to diseases. Recent…

Read More Unravel Cell-cell Communication with CellPhoneDB v5: A Cutting-edge Single-cell Multiomics Toolkit
Bioinformatics | Cell | Genomics | News | OMICS | Paper Summary | RNA-Seq | Tools | Trending

Cellsnake: A New Tool Makes Single-cell RNA Sequencing Analysis Easier Than Ever
BySwasti Tyagi November 7, 2023November 7, 2023

A collaborative effort between several medical departments at the University of Oslo led to the development of Cellsnake, a convenient tool for users to analyze single-cell RNA sequencing (scRNA-seq) data in an integrative manner, compatible with both Python and R. It can be incorporated into pre-existing workflow pipelines and can rapidly analyze several samples at…

Read More Cellsnake: A New Tool Makes Single-cell RNA Sequencing Analysis Easier Than Ever
Bioinformatics | Cell | Deep Learning | News | NGS | Paper Summary | RNA-Seq | Tools | Trending

Decoding Cellular Interactions with DeepCCI: A Deep Learning Approach to Analyze Single-cell RNA Sequencing Data
ByPrachi Khare October 20, 2023October 21, 2023

Cell-cell interactions (CCIs) are pivotal in various biological functions, including cellular differentiation, tissue maintenance, and immune reactions. As single-cell RNA sequencing (scRNA-seq) techniques advance, the need to discern CCIs from the growing pool of data becomes crucial. A groundbreaking technique, “DeepCCI,” developed by researchers from the Harbin Institute of Technology, China, uses scRNA-seq data to…

Read More Decoding Cellular Interactions with DeepCCI: A Deep Learning Approach to Analyze Single-cell RNA Sequencing Data
Bioinformatics | Cell | Machine Learning | News | Paper Summary | Trending

A New Active Learning Model Makes Cellular Reprogramming and Genetic Intervention Easier than Ever
BySonal Keni October 8, 2023December 20, 2023

Millennia of evolution has allowed life to flourish in a million different ways, each suited to the niches it fills. The advent of CRISPR and other genetic engineering methods has allowed science to re-engineer cells to make them even more efficient, robust and fulfill more varied functions. One method for cellular engineering requires the use…

Read More A New Active Learning Model Makes Cellular Reprogramming and Genetic Intervention Easier than Ever
AI | Bioinformatics | Cell | Computational Models | Deep Learning | Drug Discovery | News | NGS | Paper Summary | RNA-Seq | Trending

GeneCompass: A New Foundation Model that Unlocks the Secrets of Gene Regulation Across Species
BySwasti Tyagi October 4, 2023December 7, 2023

A team of researchers from the University of Chinese Academy of Sciences, China, and collaborators developed GeneCompass, one of the first foundation models of its kind that encompasses a vast expanse of knowledge across a diverse array of species, owing to the fact that it has been trained on over 120 million single-cell transcriptomes derived…

Read More GeneCompass: A New Foundation Model that Unlocks the Secrets of Gene Regulation Across Species
Bioinformatics | Cell | Genomics | LLM | News | Paper Summary | Sequencing | Transcriptomics | Trending

Large Language Models Meet Single Cell Transcriptomics: Unlocking Biological Insights with Cell2Sentence
ByPrachi Khare September 18, 2023November 29, 2023

Large language models, such as GPT (Generative Pre-trained Transformer), have showcased remarkable proficiency in various natural language processing tasks. Their ability to understand and generate text akin to human speech has paved the way for their widespread application across diverse domains. However, integrating these language models into specialized disciplines like biology has been challenging. This…

Read More Large Language Models Meet Single Cell Transcriptomics: Unlocking Biological Insights with Cell2Sentence
Bioinformatics | Cancer | Cancer Research | Cell | News | Paper Summary | RNA-Seq | Sequencing | Systems Biology

Meet FateMap: A Barcoding Approach to Decode Why Certain Cells Resist Anti-Cancer Therapies
BySwasti Tyagi August 29, 2023December 4, 2023

A collaborative research effort led by scientists and engineers at the University of Pennsylvania and Northwestern University led to the development of FateMap, a framework that combines DNA barcoding, single-cell RNA sequencing (scRNA-seq), and computational analysis to study the ‘fate’ or outcomes after exposing cancer cells to therapeutic drugs. It has been found that even…

Read More Meet FateMap: A Barcoding Approach to Decode Why Certain Cells Resist Anti-Cancer Therapies
Bioinformatics | Cell | Computational Models | News | Paper Summary | RNA-Seq | Tools | Transcriptomics | Trending

Advancing Spatial Transcriptomic Cell-Type Deconvolution with SONAR: A Spatially Weighted Poisson-Gamma Model
ByAditi Sarkar August 12, 2023August 12, 2023

Scientists from the Chinese Academy of Sciences, China, introduce SONAR, a novel model for cell-type deconvolution from spatial transcriptomics data. This method, termed Spatially weighted pOissoN-gAmma Regression (SONAR), utilizes a geographically weighted regression framework that leverages neighboring information to refine the local estimation of regional cell type composition. By incorporating an elastic weighting step, SONAR…

Read More Advancing Spatial Transcriptomic Cell-Type Deconvolution with SONAR: A Spatially Weighted Poisson-Gamma Model
Bioinformatics | Cell | Neural Network | News | Paper Summary | Tools | Trending

Connecting the Cellular Dots with treeArches: How Single-Cell Reference Mapping Constructs and Extends Cell-type Hierarchies
ByNeegar Naushaba Iqbal August 1, 2023August 1, 2023

To deeply understand how tissues work in healthy and diseased conditions, it is imperative to collect vast amounts of data on individual cells. Such data obtained from various studies can then be combined to generate big reference maps of different tissues, helping us to gain clarity on their functions. But, other researchers use different terminologies…

Read More Connecting the Cellular Dots with treeArches: How Single-Cell Reference Mapping Constructs and Extends Cell-type Hierarchies
Bioinformatics | Cell | News | NGS | Paper Summary | RNA-Seq | Tools

Unlock Cellular Mysteries with IndepthPathway: An Innovative Tool for Single-cell Sequencing Pathway Enrichment Analysis
ByDr. Tamanna Anwar July 31, 2023July 31, 2023

Researchers from the University of Pittsburgh, USA, have made a momentous breakthrough in the realm of single-cell sequencing with the creation of IndepthPathway, an innovative method for pathway enrichment analysis from scRNA-seq data. Overcoming the challenges posed by high noise and low gene coverage in single-cell sequencing, this tool employs the Weighted Concept Signature Enrichment Analysis…

Read More Unlock Cellular Mysteries with IndepthPathway: An Innovative Tool for Single-cell Sequencing Pathway Enrichment Analysis
Bioinformatics | Biotech | Cancer | Cell | Education | Health | News | Paper Summary | Trending

Guardians of Immunity: How T Cells Fight Diseases and Keep Us Healthy
ByNeegar Naushaba Iqbal July 2, 2023July 2, 2023

T cells are a category of immune cells. They play an important role in maintaining normal bodily functions and battling diseases. When faced with antigens, naive T cells undergo specific changes and develop into different types of cells with distinct properties, abilities, and functions. This process is controlled by genetic as well as molecular factors….

Read More Guardians of Immunity: How T Cells Fight Diseases and Keep Us Healthy
Bioinformatics | Cell | Genomics | News | NGS | Sequencing | Trending

Discovering Genome-Wide Chromatin Contacts: Multiplex-GAM vs. Hi-C Showdown!
ByDr. Tamanna Anwar June 22, 2023June 22, 2023

Chromatin conformation capture techniques have revolutionized our understanding of genome organization and its impact on gene regulation. Hi-C, the gold standard method for investigating chromatin contacts, has shed light on the three-dimensional organization of the genome. Nonetheless, new developments in genomic technology have opened the door for new strategies that offer a more thorough understanding…

Read More Discovering Genome-Wide Chromatin Contacts: Multiplex-GAM vs. Hi-C Showdown!
AI | Bioinformatics | Cell | Deep Learning | News | Tools | Trending

UCSC Scientists Introduce “DeepSea”: A Novel Deep Learning-based Software for Cell Detection and Tracking
ByDr. Tamanna Anwar June 15, 2023June 15, 2023

The field of cell biology is undergoing rapid advancement, necessitating a comprehensive comprehension of the intricate dynamics and heterogeneity exhibited by individual cells in order to unravel complex cellular processes. Time-lapse microscopy has emerged as an influential methodology, enabling the investigation of cellular behavior at the single-cell scale with exceptional temporal resolution. Nonetheless, the analysis…

Read More UCSC Scientists Introduce “DeepSea”: A Novel Deep Learning-based Software for Cell Detection and Tracking
AI | Cell | News | Paper Summary | Proteomics | Trending

Fast and Accurate Imaging of Proteins in Cells with TomoTwin: A Novel AI-based Software
ByBanhita Maitra May 18, 2023May 21, 2023

Scientists from the Max Planck Institute of Molecular Physiology, Germany, have developed a method, TomoTwin, an open-source general picking model for cryogenic-electron tomograms. The method is based on deep metric learning and incorporates the embedding of tomograms in an information-rich, high-dimensional space that separates macromolecules according to their three-dimensional structures. The localization of particles within…

Read More Fast and Accurate Imaging of Proteins in Cells with TomoTwin: A Novel AI-based Software
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Meet MitoTNT: A Novel Approach for Tracking Mitochondrial Temporal Network in 4D Live-cell Fluorescence Microscopy Data
BySipra Das April 29, 2023April 30, 2023

Advancements in fluorescence microscopy-based imaging techniques have made it possible for researchers to view and analyze mitochondrial networks in 4D. Researchers at UCSD have released a new software called MitoTNT that utilizes fluorescence microscopy data to track mitochondrial time-varying networks. The efficiency of mitochondrial network tracking depends on the quality of the image generated by…

Read More Meet MitoTNT: A Novel Approach for Tracking Mitochondrial Temporal Network in 4D Live-cell Fluorescence Microscopy Data
AI | Big Data | Bioinformatics | Cell | News | Paper Summary | Trending

Streamlining Single-Cell RNA-Seq Analysis with OpenAI’s GPT-4: Reference-Free and Affordable Automated Cell Type Annotation
ByBanhita Maitra April 28, 2023April 28, 2023

Scientists from Columbia University, New York, have reported the possibility of automated cell type annotation in single-cell RNA seq (scRNA-seq) analysis using GPT-4, a chatbot. While cell type annotation is a significant step in the pipeline of sc-RNAseq analysis, it is often time-consuming and requires manual annotation using canonical marker genes. Automated cell-type annotation typically…

Read More Streamlining Single-Cell RNA-Seq Analysis with OpenAI’s GPT-4: Reference-Free and Affordable Automated Cell Type Annotation
Bioinformatics | Cell | Gene Expression | News | Paper Summary | RNA-Seq | Transcriptomics | Trending

Tracking Gene Expression Changes in Single Cells over Time and Space with TEMPOmap
ByBanhita Maitra April 14, 2023December 28, 2023

Scientists from the Broad Institute of MIT and Harvard have developed TEMPOmap, a method that unravels subcellular RNA profiles spatiotemporally at the single-cell level. The method incorporates pulse-chase metabolic labeling and multiplexed-three dimensional in situ sequencing for simultaneous profiling of the age and location of individual RNAs. The authors discovered kinetic gene clusters while performing RNA kinetic…

Read More Tracking Gene Expression Changes in Single Cells over Time and Space with TEMPOmap
Bioinformatics | Cancer Research | Cell | News | Paper Summary | Trending

Unlocking the Mystery of Cancer Cell Movement: Logic Gates Provide Answers
ByBanhita Maitra February 17, 2023February 17, 2023

Scientists from Purdue University unravel cell migration direction under the influence of environmental cues using a ternary logic gate system. Cells detect several environmental cues and process intracellular signals to determine the direction of migration. Cell migration is involved in various physiological mechanisms as well as pathological processes. Signaling pathways and molecules involved in directed…

Read More Unlocking the Mystery of Cancer Cell Movement: Logic Gates Provide Answers
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 | Cell | Covid-19 News | Education | News

“Zip Codes” Direct RNA Molecules to Reach their Intended Destinations
ByDr. Tamanna Anwar July 28, 2022July 28, 2022

Scientists from the Weizmann Institute resolved the mystery of how RNA molecules get to their intended destinations. Each cell in our body receives instructions from its DNA, on how to function, in the form of RNA molecules. RNA has lately gained attention as the foundation for cutting-edge COVID-19 vaccines, but fundamental information about this important…

Read More “Zip Codes” Direct RNA Molecules to Reach their Intended Destinations
AMR Alert | Bioinformatics | Cell | Drug Discovery | Health | Infectious Diseases | News | Trending

Developing a New Class of Antibiotics Based on the Understanding of how Bacteria Adhere to Host Cells
ByDr. Tamanna Anwar July 2, 2022October 22, 2026

Researchers from University Hospital Frankfurt and Goethe University Frankfurt have figured out how bacteria attach to host cells, paving the way to create a new class of antibiotics. The initial and most significant step in the development of infectious diseases is always the attachment of bacteria to host cells. Infectious pathogens use this adhesion first…

Read More Developing a New Class of Antibiotics Based on the Understanding of how Bacteria Adhere to Host Cells
AI | Bioinformatics | Cancer Research | Cell | News | Tools | Trending

PICASSO Technique Helps Scientists Visualize Biological Molecules into Technicolor
ByDr. Tamanna Anwar June 27, 2022December 28, 2022

Scientists from the Korea Advanced Institute of Science and Technology propose the PICASSO technique, which enables more than 15-color imaging of spatially overlapping proteins in a single imaging round without using any reference emission spectra. For a wide spectrum of researchers, the PICASSO technique offers a multiplexed imaging tool with great accessibility and accuracy. According…

Read More PICASSO Technique Helps Scientists Visualize Biological Molecules into Technicolor
Algorithm | Bioinformatics | Cell | Computational Models | Deep Learning | Machine Learning | News | OMICS | Paper Summary | Tools

DGCyTOF: Deep Learning with Graphic Cluster Visualisation Model for Predicting Cell Types from Single-Cell Mass Cytometry Data
ByTanveen Kaur April 16, 2022November 9, 2022

Researchers from The Ohio State University utilized deep-learning classification and hierarchical stable-clustering approaches to predict cell types from single-cell mass cytometry data. The DGCyTOF approach could facilitate the analysis of single-cell RNASeq data and other omics data. Single-cell mass cytometry, also called cytometry by time of flight (CyTOF), is a powerful high-throughput technology that permits…

Read More DGCyTOF: Deep Learning with Graphic Cluster Visualisation Model for Predicting Cell Types from Single-Cell Mass Cytometry Data
Bioinformatics | Cancer Research | Cell | Drug Discovery | Featured | News | OMICS | Precision Medicine | RNA-Seq | Tools | Trending

A New Tool ‘FORALL’ for Profiling Multi-Omics and Drug Response in Childhood Acute Lymphoblastic Leukemia
ByDr. Tamanna Anwar March 31, 2022October 22, 2026

In a report published in Nature Communications, researchers from the Department of Oncology-Pathology at Karolinska Institutet, Sweden established a cell line resource dataset and analysis tool ‘Functional Omics Resource of ALL (FORALL)’ that could be used to uncover the features that make specific leukemias vulnerable to new forms of targeted medicines. The researchers used proteomics,…

Read More A New Tool ‘FORALL’ for Profiling Multi-Omics and Drug Response in Childhood Acute Lymphoblastic Leukemia
Biotech | Cancer Research | Cell | Health | News | Trending

Scientists Found a New Pathway Through Which Tumor Cells Transfer Genetic Material to Other Cells in Their Microenvironment, Leading Cancer to Spread
ByDr. Tamanna Anwar March 27, 2022June 18, 2022

Crislyn D’Souza-Schorey, the Morris Pollard Professor in the Department of Biological Sciences, and collaborators discovered that DNA “cargo” is transported in tiny informational sacs called extracellular microvesicles in their most recent study, which was published in Cell Reports. Their research is a continuation of work done in her lab to understand better how cells share…

Read More Scientists Found a New Pathway Through Which Tumor Cells Transfer Genetic Material to Other Cells in Their Microenvironment, Leading Cancer to Spread
Bioinformatics | Cancer Research | Cell | News | OMICS | Paper Summary | RNA-Seq | Trending

Advanced Algorithm REMI for Reconstruction of Codependent Cellular Interactions in Lung Adenocarcinoma
ByTanveen Kaur March 25, 2022November 9, 2022

Stanford University researchers have created a graph-based algorithm for reconstructing interactomes and identifying clinically important cell-cell interactions. The algorithm can be used to create a global network of cell-to-cell cross-talk. REMI is a modernized, novel algorithm that utilizes graph-based ways to deal with creating a global cell-cell interaction network by assessing the conditional dependency of…

Read More Advanced Algorithm REMI for Reconstruction of Codependent Cellular Interactions in Lung Adenocarcinoma
Bioinformatics | Cell | News | Paper Summary

Simulation of a Living Cell Enabled with NVIDIA GPUs
BySwati Yadav January 31, 2022September 8, 2022

GPU-accelerated software developed by the researchers at the University of Illinois at Urbana-Champaign simulates a 2-billion-atom cell that metabolizes and grows like a biological cell. Researchers present a whole-cell fully dynamical kinetic model that replicates the physical and chemical characteristics at a particle scale of a minimal living cell-JCVI-syn3A. The study of the simplest living…

Read More Simulation of a Living Cell Enabled with NVIDIA GPUs

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Cell

Meet FateMap: A Barcoding Approach to Decode Why Certain Cells Resist Anti-Cancer Therapies

Unlock Cellular Mysteries with IndepthPathway: An Innovative Tool for Single-cell Sequencing Pathway Enrichment Analysis

“Zip Codes” Direct RNA Molecules to Reach their Intended Destinations

DGCyTOF: Deep Learning with Graphic Cluster Visualisation Model for Predicting Cell Types from Single-Cell Mass Cytometry Data

Simulation of a Living Cell Enabled with NVIDIA GPUs

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