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This article describes the main sources of bias in small RNA-sequencing and the importance of obtaining structure-level information for the correct interpretation of high-throughput sequencing results.
This Perspective covers recent advances in mass spectrometry and explains how these approaches may be used to study the structure and function of protein condensates undergoing liquid–liquid phase separation.
This Tutorial provides guide for how to evaluate, select and use publicly available computational tools for predicting intrinsic disorder in proteins, with a focus on performance and ease of use results, exemplified using results from the Critical Assessment of protein Intrinsic Disorder prediction experiment.
We provide a Perspective highlighting the significant ethical implications of the use of fast-developing neurotechnologies in humans, as well as the regulatory frameworks and guidelines needed to protect neurodata and mental privacy.
This tutorial provides guidelines for imputing human leukocyte antigen alleles, including standard quality control measures for input genotyping data and best practice recommendations for association testing and fine-mapping to identify causal alleles.
This tutorial outlines common strategies for analysis of bulk RNA-sequencing (RNA-seq) data in the context of tumor immunity and immunotherapy response and presents a comprehensive computational pipeline integrating these tools to streamline RNA-seq analysis.
This Perspective explains how click chemistry—specifically, the copper-catalyzed azide–alkyne cycloaddition, the strain-promoted azide–alkyne cycloaddition and the inverse electron-demand Diels–Alder reaction—has revolutionized radiopharmaceutical chemistry.
In this Perspective, authors from the UK Consortium on Metabolic Phenotyping propose a ‘fit-for-purpose’, four-tiered framework to evaluate the reliability of targeted metabolomics analyses, addressing the need for community-accepted, harmonized guidelines for tiers other than full validation.