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dc.contributor.authorGalati, Mathias
dc.contributor.authorWang, Xinhui
dc.contributor.authorShoaib, Muhammad
dc.contributor.authorRawal, Rajesh
dc.contributor.authorBalaur, Irina
dc.contributor.authorNarayanasamy, Shaman
dc.contributor.authorSatagopam, Venkata
dc.date.accessioned2025-05-08T13:43:27Z
dc.date.available2025-05-08T13:43:27Z
dc.date.issued2025
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/101418
dc.description.abstractThis cutting-edge reference book compiles standard operating procedures, protocols, and applications of next-generation sequencing (NGS). It discusses genomic testing applications through NGS. It pays special focus on the protocols for cataloguing variants of uncertain significance. Over the years, NGS and advanced bioinformatics approaches have allowed the transition of genomic assays into translational practices. The book covers visualisation of NGS datasets, investigation of early development impairment, and metagenome protocols. It also discusses the challenges in NGS methods. Key Points: Includes case studies of application of NGS in different taxa like humans, rodents, plants, and bacteria Compiles protocols from various reputed companies like Illumina, PacBio, and ThermoFisher Discusses the translational applications of NGS methods Reviews machine learning heuristics for NGS data interpretation Discusses emerging genomic assay technologies and characterising mechanisms of disease prevalence The book is meant for researchers and industry experts in genomics, computational biology, and bioinformatics. Chapter 7 and 9 of this book is freely available as a downloadable Open Access PDF at ""http://www.taylorfrancis.com"" "http://www.taylorfrancis.com under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license.en_US
dc.languageEnglishen_US
dc.subject.classificationthema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques::MBGR Medical researchen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PN Chemistryen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PS Biology, life sciencesen_US
dc.subject.classificationthema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineeringen_US
dc.subject.otherNGS,High Throughput Omics (HTO),Genomics,Metagenome Analysis,Data Visualization,Genotypingen_US
dc.titleChapter 7 Best Practices in Single-Cell RNA-seq Data Analysisen_US
dc.typechapter
oapen.identifier.doi10.1201/9781003354062-7en_US
oapen.relation.isPublishedBy7b3c7b10-5b1e-40b3-860e-c6dd5197f0bben_US
oapen.relation.isPartOfBook81e9b5aa-f177-4b6d-8110-7657127208e9en_US
oapen.relation.isFundedByd60ec110-95ad-43f9-a0c0-4d6cf77fb1fben_US
oapen.relation.isbn9781032392622en_US
oapen.relation.isbn9781032406350en_US
oapen.imprintCRC Pressen_US
oapen.pages17en_US
oapen.remark.publicFunder name: Luxembourg National Research Fund (FNR); EUROSTARS (EUREKA Network)


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