Chapter 7 Best Practices in Single-Cell RNA-seq Data Analysis
This 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,...
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| Formato: | Online |
| Idioma: | inglês |
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Taylor & Francis
2025
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| Acesso em linha: | https://library.oapen.org/handle/20.500.12657/101418 |
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| author | Galati, Mathias Wang, Xinhui Shoaib, Muhammad Rawal, Rajesh Balaur, Irina Narayanasamy, Shaman Satagopam, Venkata |
| author_browse | Balaur, Irina Galati, Mathias Narayanasamy, Shaman Rawal, Rajesh Satagopam, Venkata Shoaib, Muhammad Wang, Xinhui |
| author_facet | Galati, Mathias Wang, Xinhui Shoaib, Muhammad Rawal, Rajesh Balaur, Irina Narayanasamy, Shaman Satagopam, Venkata |
| author_sort | Galati, Mathias |
| collection | Directory of Open Access Books |
| description | This 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. |
| format | Online |
| id | doab-20.500.12854ir-159164 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1591642025-06-24T05:45:37Z Chapter 7 Best Practices in Single-Cell RNA-seq Data Analysis Galati, Mathias Wang, Xinhui Shoaib, Muhammad Rawal, Rajesh Balaur, Irina Narayanasamy, Shaman Satagopam, Venkata NGS,High Throughput Omics (HTO),Genomics,Metagenome Analysis,Data Visualization,Genotyping thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques::MBGR Medical research thema EDItEUR::P Mathematics and Science::PN Chemistry thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering This 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. 2025-05-09T08:54:30Z 2025-05-09T08:54:30Z 2025-05-08T13:43:27Z 2025 chapter https://library.oapen.org/handle/20.500.12657/101418 9781032392622 9781032406350 https://directory.doabooks.org/handle/20.500.12854/159164 eng open access image/jpeg image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International Attribution-NonCommercial-NoDerivatives 4.0 International https://library.oapen.org/bitstream/20.500.12657/101418/1/9781003354062_10.1201_9781003354062-7.pdf https://library.oapen.org/bitstream/20.500.12657/101418/1/9781003354062_10.1201_9781003354062-7.pdf Taylor & Francis CRC Press 10.1201/9781003354062-7 10.1201/9781003354062-7 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 Next-Generation Sequencing Eurostars d60ec110-95ad-43f9-a0c0-4d6cf77fb1fb 9781032392622 9781032406350 CRC Press 17 open access |
| spellingShingle | NGS,High Throughput Omics (HTO),Genomics,Metagenome Analysis,Data Visualization,Genotyping thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques::MBGR Medical research thema EDItEUR::P Mathematics and Science::PN Chemistry thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering Galati, Mathias Wang, Xinhui Shoaib, Muhammad Rawal, Rajesh Balaur, Irina Narayanasamy, Shaman Satagopam, Venkata Chapter 7 Best Practices in Single-Cell RNA-seq Data Analysis |
| title | Chapter 7 Best Practices in Single-Cell RNA-seq Data Analysis |
| title_full | Chapter 7 Best Practices in Single-Cell RNA-seq Data Analysis |
| title_fullStr | Chapter 7 Best Practices in Single-Cell RNA-seq Data Analysis |
| title_full_unstemmed | Chapter 7 Best Practices in Single-Cell RNA-seq Data Analysis |
| title_short | Chapter 7 Best Practices in Single-Cell RNA-seq Data Analysis |
| title_sort | chapter 7 best practices in single cell rna seq data analysis |
| topic | NGS,High Throughput Omics (HTO),Genomics,Metagenome Analysis,Data Visualization,Genotyping thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques::MBGR Medical research thema EDItEUR::P Mathematics and Science::PN Chemistry thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering |
| topic_facet | NGS,High Throughput Omics (HTO),Genomics,Metagenome Analysis,Data Visualization,Genotyping thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques::MBGR Medical research thema EDItEUR::P Mathematics and Science::PN Chemistry thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering |
| url | https://library.oapen.org/handle/20.500.12657/101418 |
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