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New computational biology tool automates and standardizes genome sequencing analysis

A new tool, metapipeline-DNA, automates and standardizes genome sequencing analysis, reducing the complexity of large and complicated data. The open-access resource, developed by Sanford Burnham Prebys and the University of California Los Angeles, aims to improve collaboration and reproducibility across research labs.

SourceSanford Burnham Prebys·JournalCell Reports Methods·TypeExperimental study·DateMar 17, 2026

Who is more likely to get long COVID?

Researchers have identified 32 causal genes that increase the likelihood of developing long COVID, including 13 new genes not previously associated with the disease. The study's findings could lead to more precise diagnoses and treatment options for the condition, which affects an estimated 400 million people worldwide.

SourceUniversity of South Australia·JournalPLOS Computational Biology·TypeData/statistical analysis·DateDec 15, 2025