A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
A new collaboration brings together a world-leading interdisciplinary team with skills across quantum computing, genomics, and advanced algorithms. They aim to tackle one of the most challenging ...
A whole-genome sequencing approach shows early promise over current commercial methods for identifying more patients likely ...
Market opportunities include leveraging advancements in AI and machine learning to enhance microbiome data analysis, ...
CHANGE-seq-BE was developed to enable scientists to better understand base editors, an important class of CRISPR precise genome editors.
The landscape of next-generation sequencing (NGS) continues to be defined by astonishing technological progress. We continue ...
Morgan Hiebert (left) studies drug-resistant tuberculosis within the National Reference Centre for Mycobacteriology (Winnipeg, Manitoba) led by Hafid Soualhine, situated in the National Microbiology ...
Key opportunities lie in next-generation sequencing methods, with hospitals as major end-users and North America as a ...
Scientists and physicians can better assess precision genome editing technology using a new method made public today by St. Jude Children's Research Hospital. Significant amounts of time and resources ...
Of the 2,310 tumors submitted for analysis, 110 (4.8%) failed quality control, primarily due to insufficient RNA. Among samples meeting quality thresholds, sequencing was successful in 99.6%.
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