Molecular Analyses
DNA and RNA extraction methods from a variety of tissues and samples are now routine, including extraction from single cells. Many methods are now automated. Sequencing efficiency has reached the point where it is now possible to obtain gigabases of data, both quickly and inexpensively. Such methods...
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| Format: | Online |
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| Language: | English |
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Taylor & Francis
2023
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| Online Access: | OCN: 1288149880 |
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| collection | Directory of Open Access Books |
| description | DNA and RNA extraction methods from a variety of tissues and samples are now routine, including extraction from single cells. Many methods are now automated. Sequencing efficiency has reached the point where it is now possible to obtain gigabases of data, both quickly and inexpensively. Such methods permit the identification of gene versions, including those associated with disease (e.g. small nucleotide polymorphism analyses, or SNPs). The general public as well as clinicians can now access a wide variety of literature on the molecular bases of diseases, allowing them to better assess disease risks and treatments. This volume concentrates on medically-focused methods, and therefore the major audience will be medical professionals, students, and those involved in medically-related research endeavors. There are also papers in this volume dealing specifically with methods developed to analyze large sequence data sets. Many methods reviewed herein are more broadly applicable to other fields in biology, chemistry, bioinformatics, and bioengineering, and are intended for a broad readership |
| format | Online |
| id | doab-20.500.12854ir-132056 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1320562025-03-20T11:49:01Z Molecular Analyses Rogers, Scott Gene Sequences, Next Generation sequencing, Nucleotide, Phylogenomics DNA and RNA extraction methods from a variety of tissues and samples are now routine, including extraction from single cells. Many methods are now automated. Sequencing efficiency has reached the point where it is now possible to obtain gigabases of data, both quickly and inexpensively. Such methods permit the identification of gene versions, including those associated with disease (e.g. small nucleotide polymorphism analyses, or SNPs). The general public as well as clinicians can now access a wide variety of literature on the molecular bases of diseases, allowing them to better assess disease risks and treatments. This volume concentrates on medically-focused methods, and therefore the major audience will be medical professionals, students, and those involved in medically-related research endeavors. There are also papers in this volume dealing specifically with methods developed to analyze large sequence data sets. Many methods reviewed herein are more broadly applicable to other fields in biology, chemistry, bioinformatics, and bioengineering, and are intended for a broad readership 2023-12-19T04:02:24Z 2023-12-19T04:02:24Z 2023-12-18T10:46:10Z 2022 book OCN: 1288149880 https://library.oapen.org/handle/20.500.12657/86217 9781003247432 9780367903718 9781032161907 https://directory.doabooks.org/handle/20.500.12854/132056 eng open access Taylor & Francis CRC Press 10.1201/9781003247432 10.1201/9781003247432 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 Chapter 5 Forensic DNA Samples 9781003247432 9780367903718 9781032161907 CRC Press open access |
| spellingShingle | Gene Sequences, Next Generation sequencing, Nucleotide, Phylogenomics Molecular Analyses |
| title | Molecular Analyses |
| title_full | Molecular Analyses |
| title_fullStr | Molecular Analyses |
| title_full_unstemmed | Molecular Analyses |
| title_short | Molecular Analyses |
| title_sort | molecular analyses |
| topic | Gene Sequences, Next Generation sequencing, Nucleotide, Phylogenomics |
| topic_facet | Gene Sequences, Next Generation sequencing, Nucleotide, Phylogenomics |
| url | OCN: 1288149880 |