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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.accessioned2025-11-27T10:23:57Z
dc.date.available2025-11-27T10:23:57Z
dc.date.issued2025
dc.date.submitted2025-05-08T13:43:27Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/101418
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/206213
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.
dc.languageEnglish
dc.rightsopen access
dc.subject.classificationthema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques::MBGR Medical research
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PN Chemistry
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PS Biology, life sciences
dc.subject.classificationthema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering
dc.subject.otherNGS,High Throughput Omics (HTO),Genomics,Metagenome Analysis,Data Visualization,Genotyping
dc.titleChapter 7 Best Practices in Single-Cell RNA-seq Data Analysis
dc.typechapter
oapen.identifier.doi10.1201/9781003354062-7
oapen.relation.isPublishedByfa69b019-f4ee-4979-8d42-c6b6c476b5f0
oapen.relation.isPartOfBook7cb0b44b-12b3-412d-8530-da5b8f3e7280
oapen.relation.isPartOfBook713a9b2d-9e32-42c5-a7ab-d3ca0dcfec3c
oapen.relation.isFundedBye0c6b634-d0f9-4bff-9f8e-94b39b0c30b0
oapen.relation.isFundedByd60ec110-95ad-43f9-a0c0-4d6cf77fb1fb
oapen.relation.isbn9781032392622
oapen.relation.isbn9781032406350
oapen.imprintCRC Press
oapen.pages17
peerreview.review.typeProposal
peerreview.anonymitySingle-anonymised
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityPublisher
peerreview.idbc80075c-96cc-4740-a9f3-a234bc2598f1
dc.relationisFundedByd60ec110-95ad-43f9-a0c0-4d6cf77fb1fb
peerreview.titleProposal review


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