The availability of reference genome sequences for virtually all species under active research has revolutionized biology. Analyses of genomic variations in many organisms have provided insights into phenotypic traits, evolution and disease, and are transforming medicine. All genomic data from publicly funded projects are freely available in Internet-based databases, for download or searching via genome browsers such as Ensembl, Vega, NCBI's Map Viewer, and the UCSC Genome Browser. These online tools generate interactive graphical outputs of relevant chromosomal regions, showing genes, transcripts, and other genomic landmarks, and epigenetic features mapped by projects such as ENCODE.This chapter provides a broad overview of the major genomic databases and browsers, and describes various approaches and the latest resources for searching them. Methods are provided for identifying genomic locus and sequence information using gene names or codes, identifiers for DNA and RNA molecules and proteins; also from karyotype bands, chromosomal coordinates, sequences, motifs, and matrix-based patterns. Approaches are also described for batch retrieval of genomic information, performing more complex queries, and analyzing larger sets of experimental data, for example from next-generation sequencing projects.
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http://dx.doi.org/10.1007/978-1-4939-6622-6_10 | DOI Listing |
Am J Respir Crit Care Med
January 2025
AstraZeneca, BioPharmaceuticals R&D, Gaithersburg, Maryland, United States.
Mycologia
January 2025
Crops Pathology and Genetics Research Unit, USDA-ARS Davis, Davis, California 95616.
Fungal trunk diseases are of major concern for tree fruit, nut, and grape growers throughout the world. These diseases include Eutypa dieback of grape, caused by , band canker of almond, caused by and , and twig and branch dieback of walnut, caused by , Botryosphaeria dieback of grape, caused by , and , and esca of grape, caused by and . Given the common occurrence of mixed infections, and the similar wood symptoms at the macroscopic level, species-specific detection tools are needed.
View Article and Find Full Text PDFDiabetes Care
February 2025
Division of Blood Disorders and Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, GA.
Objective: The goal of this study was to assess the additive value of considering type 2 diabetes (T2D) polygenic risk score (PRS) in addition to family history for T2D prediction.
Research Design And Methods: Data were obtained from the All of Us (AoU) research database. First-degree T2D family history was self-reported on the personal family history health questionnaire.
Sci Adv
January 2025
Department of Biomedical Engineering, Duke University, Durham, NC, USA.
Designing binders to target undruggable proteins presents a formidable challenge in drug discovery. In this work, we provide an algorithmic framework to design short, target-binding linear peptides, requiring only the amino acid sequence of the target protein. To do this, we propose a process to generate naturalistic peptide candidates through Gaussian perturbation of the peptidic latent space of the ESM-2 protein language model and subsequently screen these novel sequences for target-selective interaction activity via a contrastive language-image pretraining (CLIP)-based contrastive learning architecture.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
Lysosomal storage diseases (LSDs) comprise ~50 monogenic disorders marked by the buildup of cellular material in lysosomes, yet systematic global molecular phenotyping of proteins and lipids is lacking. We present a nanoflow-based multiomic single-shot technology (nMOST) workflow that quantifies HeLa cell proteomes and lipidomes from over two dozen LSD mutants. Global cross-correlation analysis between lipids and proteins identified autophagy defects, notably the accumulation of ferritinophagy substrates and receptors, especially in and mutants, where lysosomes accumulate cholesterol.
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