Skip to main content

Making Biological Computing Smarter

Experimental biologists today sit at the edge of enormous bodies of information.

Written byNina Fedoroff
| 6 min read

Register for free to listen to this article
Listen with Speechify
0:00
6:00

The Hum and the GenomeAs genome sequence data accumulates exponentially, the infrastructure that handles it all also needs to break new ground(Stuart Blackman)

Minds Must UniteIt's time for experimentalists to stop ignoring computational modelers(David L. Donoho, David Mumford, and Bruno A. Olshausen)

Nina Fedoroff (left) is Willaman Professor of Life Sciences and an Evan Pugh Professor in the department of biology and the Huck Institutes of the Life Sciences at Pennsylvania State University. She is also a member of the National Academy of Sciences. Steve Racunas (center) is a postdoctoral fellow at the Huck Institutes. Jeff Shrager (right) is a research fellow at the Carnegie Institution of Washington's Department of Plant Biology at Stanford University. The authors are collaborating on a computational toolkit for expressing and checking the consistency of biological models with existing knowledge and data.

Experimental biologists today sit at the edge of enormous bodies of information. Although ...

Interested in reading more?

Become a Member of

The Scientist Logo
Receive full access to digital editions of The Scientist, as well as TS Digest, feature stories, more than 35 years of archives, and much more!
Already a member?
Add The Scientist as a preferred source on Google

Add The Scientist as a preferred Google source to see more of our trusted coverage.

Meet the Author

Published In

Related articles background image
The Scientist Digest cover September 2026
September 2026

Multiplex Microscopy Becomes Easier with Encoded Antibodies

A new system that enables researchers to uniquely tag monoclonal antibodies for use in microscopy could help simplify complex imaging studies.

View this Issue
Rethinking ALS Biomarkers: From Discovery to Clinical Impact

Rethinking ALS Biomarkers: From Discovery to Clinical Impact

Alamar Biosciences logo
Best Practices for qPCR Assay Design and Optimization

Best Practices for qPCR Assay Design and Optimization

Bio-Rad
Beyond the Basics: Strategies for Single-Cell and Spatial Transcriptomics Analysis

Beyond the Basics: Strategies for Single-Cell and Spatial Transcriptomics Analysis

bioxcell
Scientist reviewing cellular and molecular data on a computer in a laboratory.

Building Translation-Ready Biomarkers with Connected Workflows

Danaher Logo

Products

Closeup image of a multi channel pipette dispensing pink liquid into a 96-well plate.

The ASSIST PLUS pipetting robot for affordable workflow automation

Integra Logo
Single cells in suspension

Rapidly isolate primary cells and make uniform single-cell suspensions with Corning® Cell Strainers

Corning logo
Abstract image representing cell membranes linked together.

CellBrite® Steady Membrane Stain: Cell surface staining built for real-time imaging

Biotium
sino biological logo

Monod Bio Licenses AI-designed Protein Technologies to SignalChem Biotech for Custom Discovery Assays