NIH's new genomic data sharing (GDS) policy covers both human and model-organism genotypic and phenotypic data, and strives to balance rapid release of data with embargo periods to ensure that data producers have sufficient time to analyze their results. But how well does the policy achieve this balance?
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GenoTools: an open-source Python package for efficient genotype data quality control and analysis.
G3 (Bethesda)
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Center for Alzheimer's and Related Dementias (CARD), National Institute on Aging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA.
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- GenoTools is a Python package designed to simplify population genetics research by integrating key functions like ancestry estimation, quality control, and genome-wide association studies into streamlined pipelines.
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Background: Blood collection from donors on testosterone therapy (TT) is restricted to red blood cell (RBC) concentrates to avoid patient exposure to supraphysiological testosterone (T). The objective of this study was to identify TT-related changes in RBC characteristics relevant to transfusion effectiveness in patients.
Study Design: This was a two-part study with cohorts of patients and blood donors on TT.
Researching COVID to enhance recovery (RECOVER) pediatric study protocol: Rationale, objectives and design.
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Department of Pediatrics, New York University Grossman School of Medicine, New York, New York, United States of America.
Importance: The prevalence, pathophysiology, and long-term outcomes of COVID-19 (post-acute sequelae of SARS-CoV-2 [PASC] or "Long COVID") in children and young adults remain unknown. Studies must address the urgent need to define PASC, its mechanisms, and potential treatment targets in children and young adults.
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GenoTools, a Python package, streamlines population genetics research by integrating ancestry estimation, quality control (QC), and genome-wide association studies (GWAS) capabilities into efficient pipelines. By tracking samples, variants, and quality-specific measures throughout fully customizable pipelines, users can easily manage genetics data for large and small studies. GenoTools' "Ancestry" module renders highly accurate predictions, allowing for high-quality ancestry-specific studies, and enables custom ancestry model training and serialization, specified to the user's genotyping or sequencing platform.
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