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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

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

First-ever long read datasets added to two Kids First studies

The release of long-read sequencing datasets for two Kids First studies provides a fuller understanding of how genetics contributes to childhood cancers and congenital disorders. The datasets include improved genome assembly capabilities, facilitating variant discovery and potential targeted therapy development.

SourceGabriella Miller Kids First Data Resource Center
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Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.

Statistical tool finds ‘gaps’ in DNA data sets shouldn’t be ignored

A new study found that 'gaps' within DNA protein and sequence alignments can provide valuable information about nucleotide and amino acid substitutions. The finding is particularly relevant for studying distantly related species.

SourceNorth Carolina State University·JournalProceedings of the National Academy of Sciences·TypeData/statistical analysis