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by Mark Alber, Marc R. Birtwistle, Stacey D. Finley, Pedro Mendes
by Arne Elofsson, Nir Ben-Tal We have seen more progress in computational biology for macromolecules in the last five years than we experienced in the five preceding decades. Thus...
Jill P. Mesirov, PhD, a luminary in the worlds of mathematics and computational biology, has embarked on a new chapter in her distinguished career by joining the Sanford Burnham Pr...
Executive SummaryContinue reading on Medium »
As the diversity of virtual cell models targets new dimensions of complex biology, every approach takes another step closer toward clinical impact. The post Virtual Cells Go Multis...
These are the same type of understandable and logical computation circuits that humans design. What can we learn from observing this similarity? Source
Developing software to reveal large genetic changes that lead to cancer
Formulating software for the study of plant genomes
by Jean Fan Since the founding of PLOS Computational Biology 20 years ago, genomics research has advanced at a remarkable pace. In this 20th anniversary commentary, as an Editor f...
by Mark Alber, Amber Smith, Reinhard Laubenbacher, Roeland M. H. Merks
by Holly A. Huber, Stacey D. Finley Computational models in systems biology are often underdetermined—that is, there is little data relative to the complexity and size of the mode...
Researchers developed a new system for programming human cells to make decisions like tiny computers. It lets cells process multiple cellular signals at once using fewer computatio...
In a preprint published in arXiv, researchers from Altos Labs have described a machine learning algorithm that performs end-to-end prediction of how cells’ gene expression will res...
Proteins lie at the heart of biological function and industrial innovation, representing a vast frontier for scientific discovery and application. Engineering proteins to enhance o...
by Paulyna Magaña, Piraveen Gopalasingam, Jennifer R. Fleming, Oleg Kovalevskiy, Augustin Žídek, ThankGod Echezona Ebenezer, Agata Laydon, Roz Onions, Eva Akurut, Syed Muktadir Al...
A Nobel laureate’s decades-long commitment to open science is reshaping biotechnology in the AI era. Deep learning methods can now design novel proteins across pharmaceuticals, vac...
Building Scientists in the AI Era Joshua.Bay Wed, 06/17/2026 - 03:00 AM Stevens Institute of Technology’s newly launched AI in Biology and Chemistry Comm...
New OpenAI life sciences tools integrate RNA sequencing analysis, quality control, annotation, and bioinformatics workflows into a unified platform for genomics and research applic...
To adapt the words of Theodosius Dobzhansky, I’m persuaded that nothing in biology makes sense except in light of intelligent design. Source
RNA sequencing supports space biology research by enabling transcriptome-wide analysis of gene expression changes associated with spaceflight and adaptation to space environments.....
STGBench generates realistic paired DNA and RNA sequencing datasets with known genetic alterations, enabling accurate benchmarking of spatial genomics and transcriptomics analysis....
by Christos A. Ouzounis
Cytomos says its benchtop cell analytics intelligence system combines the compact Celledonia analyzer with the sensors of the AuraCyt modules to transform complex cellular data int...
by Bradley Mason, Laura Justham, Liam Whitby, Alison Whitby, Stuart Scott, Samuel Nti, Jon Petzing Flow cytometry (FC) is essential for the precise quantification and characterisa...
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