Latest updates for Computational Biology

Fresh curated links around Computational Biology are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • New Computational Framework Tracks Cell Migration Across Space and Time
  • Looking beyond natural sequences
  • AI Meets Biology: How Machine Learning Is Transforming Bioinformatics and Microbiology in 2026

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bioengineer.org /1 month ago

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...

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news.mit.edu /1 month ago

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

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medium.com /1 week ago

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 »

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rna-seqblog.com /1 month ago

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...

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scienceandculture.com /4 weeks ago

Information in Biology: A Mystery for Naturalism

Biology was giving us computer programming and symbolic codes which, by mapping functional structures to functional structures, exhibited a tacit semantics.  Source

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legaltechmonitor.com /3 weeks ago

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...

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nanowerk.com /1 month ago

Combining AI and synthetic biology to decode nature's design rules (w/video)

A new open-science initiative will use AI and large-scale experiments in a continuous learning cycle to design new proteins, enzymes and cells.

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journals.plos.org /2 weeks ago

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...

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bioengineer.org /3 weeks ago

New computational tool maps the cell-state crosstalk that decides survival in IDH-mutant glioma

A team at the National Cancer Institute has unveiled a computational framework that turns ordinary bulk tumor RNA-sequencing data into a map of the conversations between cell state...

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nanowerk.com /1 month ago

A Google-like search engine for single-cell RNA

Scientists have built a search engine that can scan data from millions of single cells from thousands of experiments worldwide in seconds. The tool makes it possible to answer prev...

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scienceandculture.com /2 days ago

How Systems Biology Is Adopting an Engineering Framework

Everything from metabolic pathways optimized for efficiency to brain blood vessels designed as protective shock absorbers demonstrates multi-level planning. Source

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scitechdaily.com /1 week ago

Scientists Build a World-First DNA Computer That Runs Without Continuous Power

Reusable for up to 25 different calculations, a DNA computer points toward possible uses in energy-efficient computing and long-term data storage. A DNA computer has added 10 and 3...

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executivegov.com /2 weeks ago

DOE, NIH and Biohub Sign Agreement to Advance Super Intelligence in Biology

DOE, NIH and Biohub signed an agreement to build open biological data for predictive cell models, backed by five-year investments. The post DOE, NIH and Biohub Sign Agreement to Ad...

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journals.plos.org /1 week ago

What is biology research for?

by Ran Blekhman In the age of generative artificial intelligence (AI), the assumption that writing a paper requires doing science no longer holds true. Before deciding how to resp...

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journals.plos.org /2 days ago

Ten simple rules for responsible use of AI and LLMs in computational biology

by Noam Auslander

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rna-seqblog.com /3 days ago

PhD position in RNA structure computational analysis neural sublocalization of transcripts

The University of Copenhagen seeks a PhD researcher to develop machine learning models integrating RNA sequencing, RNA structure and protein interactions to predict neuronal RNA lo...

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bioengineer.org /1 month ago

Mapping the Dynamic Plant Interactome: New Quantitative In Vivo Approaches Emerge

Every process that keeps a plant alive—from the immune responses that fend off pathogens to the signaling cascades that help roots find water—depends on proteins physically tou...

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journals.plos.org /1 month ago

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...

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phys.org /1 month ago

Uniting sequence and structure to map the protein universe across billions of years of evolution

An international team of researchers, including those at the Earth-Life Science Institute (ELSI) at the Institute of Science Tokyo, has developed a protein language model that brin...

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genengnews.com /1 month ago

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 -...

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genengnews.com /1 day ago

Multiomic Study of MSS CRC Identifies Vulnerabilities Pointing to Therapeutic Possibilities

Researchers analyzed mulitomic and clinical data from 2000 colorectal cancer samples and used an AI tool, iPhenMap, to help identify cancer cell vulnerabilities and drug combinatio...

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journals.plos.org /1 month ago

When models choose metrics: Hidden geometry in computational biology

by Dillion M. Fox Computational biology often turns biological measurements into fitted models, embeddings, or summaries and then compares them with a distance chosen largely by c...

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rna-seqblog.com /1 month ago

An end-to-end computational framework for “Record-seq” transcriptional recording data

A new framework adapts RNA sequencing analysis for Record-seq, improving spacer extraction, transcription-unit quantification, normalization, differential expression, and modeling...

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journals.plos.org /4 weeks ago

Topologically-based parameter inference for agent-based model selection from spatiotemporal cellular data

by Alyssa R. Wenzel, Patrick M. Haughey, Kyle C. Nguyen, John T. Nardini, Jason M. Haugh, Kevin B. Flores Advances in spatiotemporal single-cell imaging have enabled detailed obse...

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bioengineer.org

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evolutionnews.org

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executivegov.com

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journals.plos.org

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