Kate Yandell is a Philadelphia-based freelance writer with a love for genomics and neuroscience. She writes for Spectrum‘s Toolbox section.
Kate Yandell
Contributing Writer
Spectrum
From this contributor
With new part, CRISPR can cut RNA in living cells
A new version of the gene-editing tool CRISPR can target and cut RNA, offering a way to tinker with the expression of autism genes.
With new part, CRISPR can cut RNA in living cells
By
Kate Yandell
15 July 2016 | 2 min read
Sequencing approach bares large variety of brain cell types
Analyzing gene expression in a vision center of the mouse brain has revealed 49 different classes of cells.
Sequencing approach bares large variety of brain cell types
By
Kate Yandell
24 February 2016 | 2 min read
Precise program traces firing patterns in neural networks
By tracking calcium’s movement, a new algorithm simultaneously delineates individual neurons’ shapes as well as their firing patterns.
Precise program traces firing patterns in neural networks
By
Kate Yandell
17 February 2016 | 2 min read
Simple steps let star-shaped brain cells thrive in culture
A new method allows researchers to culture cells known as astrocytes from human brains.
Simple steps let star-shaped brain cells thrive in culture
By
Kate Yandell
10 February 2016 | 3 min read
Method marks variants among repeated DNA segments
A new tool trawls sequencing data to reveal single-letter DNA swaps within large duplications.
Method marks variants among repeated DNA segments
By
Kate Yandell
9 December 2015 | 2 min read
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Sharing Africa’s brain data: Q&A with Amadi Ihunwo
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Cortical structures in infants linked to future language skills; and more
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20 May 2025 | 2 min read
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
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