Social Media Ideas for Bmc Bioinformatics

DyME: An MD-based engine exploiting HTP mutagenesis for protein engineering and recognition mimicry

by Pedro M. Guillem-Gloria, Gloria Ruiz-Gómez, M. Teresa Pisabarro Protein recognition mimicry is of great interest in the field of molecular bioengineering and rational design, w...

New Computational Framework Tracks Cell Migration Across Space and Time

Scientists have unveiled a new computational framework that brings together two of the most powerful technologies in modern biology—single-cell RNA sequencing and spatial transcrip...

Computational deconvolution of drug sensitivity via single-cell–to–bulk transcriptome mapping

by Alexandre Coudray, Romain Forey, Benjamin Bejar Haro, Filipe Martins, Joana Carlevaro-Fita, Shaoline Sheppard, Sandra Eloise Offner, Gioele La Manno, Guillaume Obozinski, Didier...

New AI Method Ranks Metabolites by Their Impact on Graph Neural Network Predictions

Metabolomics, the large-scale study of small molecules in biological systems, has long faced a stubborn interpretability problem. Researchers can measure thousands of metabolites a...

Model Context Protocol: The unexpected catalyst of a bioinformatics interoperability revolution

by Nathan C. Sheffield

PanDelos-plus: A parallel algorithm for computing sequence homology in pangenomic analysis

by Simone Colli, Emiliano Maresi, Vincenzo Bonnici The identification of homologous gene families across multiple genomes is a central task in bacterial pangenomics traditionally...

From Images to Data

This eBook introduces the latest trends in quantitative spatial biology and how IMC is accelerating their adoption and success. The post From Images to Data appeared first on GEN -...

Omics data discovery agents: Agent-supported retrieval, reanalysis, and synthesis of published omics data

by Alexandre Hutton, Jesse G. Meyer The biomedical literature contains a vast collection of omics studies, yet most published data remain functionally inaccessible for computation...

PCIPG: A comprehensive framework for protein complex identification based on a probabilistic graphical model

by Yixiang Huang, Lei Yang, Jiudong Wang, Xinqi Gong Protein complexes are molecular machines that execute essential cellular functions, but their computational identification rem...

A Bayesian framework for multivariate differential analysis

by Marie Chion, Arthur Leroy Differential analysis is a routine procedure in the statistical analysis toolbox across many applied fields, including quantitative proteomics, the ma...

Syngene Expands Integrated Drug Development and Manufacturing Services with BMS

The collaboration between Syngene and Bristol Myers Squibb began in 1998, culminating in the establishment of the Biocon Bristol Myers Squibb Research and Development Center, Synge...

Comparing subsampling strategies for efficient pairwise analysis of large pathogen genomic and spatial datasets: An appl...

by Yu Lan, Chieh-Yin Wu, Hsien-Ho Lin, Ted Cohen, Joshua L. Warren Pairwise analysis of genomic and spatial data offers opportunities to identify and estimate the associations bet...

The 100 Diatom Genomes Project

by Thomas Mock, Gust Bilcke, Eliott Flaum, Shunan Fu, Lilian Hoch, Kevin Moog, Nadine Rijsdijk, Elizabeth C. Ruck, Ian W. Bishop, Carole Duchene, Reuben Gilbertson, Amanda Hopes, C...

New AI approaches to help understand complex biological data

RNA sequencing combined with new AI models helps researchers analyze cellular relationships and biological patterns across scales, improving interpretation of complex single-cell a...

RNAmel simplifies RNA sequencing data analysis with a reproducible, integrated platform

RNAmel integrates RNA sequencing data analysis, gene expression profiling, pathway enrichment and visualization into a reproducible platform that simplifies...

RiboBA improves detection of hidden protein-coding regions using ribosome profiling

RiboBA improves ribosome profiling and RNA sequencing analysis by correcting experimental biases, enabling more accurate identification of hidden protein-coding regions and transla...

Beyond the Wet Lab Bottleneck: The Race to Build Biology’s Generative Engine

Cambridge, MA – MIT Media Lab – EmTech Future. Nature has spent roughly 3.8 billion years conducting the most sprawling, creative research and development campaign in history. Evol...

Open-Source R Shiny Dashboard (Global Burden of Disease Analysis Suite) for Multimethod Burden of Disease Research: Deve...

Background: The Global Burden of Disease (GBD) study provides the most comprehensive global burden estimates available, but translating GBD data downloads into structured analyses...

Process bigraphs and the architecture of compositional systems biology

by Eran Agmon, Ryan K. Spangler Building multiscale biological models requires the integration of independently developed submodels, which means moving shared variables between th...

GPC: An expressive and tractable deep generative model for genetic variation data

by Prateek Anand, Anji Liu, Meihua Dang, Boyang Fu, Xinzhu Wei, Guy Van den Broeck, Sriram Sankararaman Generative models play an important role in population genetics, being used...

AI Meets Biology: How Machine Learning Is Transforming Bioinformatics and Microbiology in 2026

From genomic foundation models to intelligent microbiome analysis, artificial intelligence is reshaping how scientists understand life.Continue reading on Medium »

HiFIseek: Gene-specific enrichment of high-impact mutations in associated genomic regions

by Rafael Riudavets Puig, Denise G. O’Mahony, Ina Skaara Brorson, Ksenia Sokolova, Vessela N. Kristensen, Anthony Mathelier Transcription is regulated through the sequence-specifi...

Balanced DNA interpolation improves learning of genetic distance-informed embeddings in plants

by Lara M. Kösters, Kevin Karbstein, Ladislav Hodač, Laura Albreht, Elvira Sahuquillo Balbuena, Daniel Botello, Olivier Hardy, Phebian Odufuwa, Eva Pardo Otero, Aireen Phang, Manue...

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