000 | 05271cam a2200421Ii 4500 | ||
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001 | on1303083149 | ||
003 | OCoLC | ||
005 | 20240726104516.0 | ||
008 | 220312s2022 sz o 001 0 eng d | ||
020 | _a303087821X | ||
020 | _a9783030878214 | ||
029 | 1 |
_aAU@ _b000071436367 |
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040 |
_aEBLCP _beng _erda _cEBLCP _dGW5XE _dYDX _dEBLCP _dOCLCO |
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049 | _aSBIM | ||
050 | 0 | 4 |
_aQP623 _b.T736 2022 |
100 | 0 |
_aPassos, Geraldo A., _e1 |
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245 | 1 | 0 | _aTranscriptomics in health and disease /Geraldo A. Passos, editors. |
250 | _asecond edition. | ||
260 |
_aCham, Switzerland : _bSpringer, _c(c)2022. |
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300 |
_axi, 475 pages : _bgraphs, charts : _c24 cm |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_adata file _2rda |
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504 | _a2 | ||
505 | 0 | 0 | _aConcluding Remarks and Perspectives |
505 | 0 | 0 | _aIndex. |
505 | 0 | 0 | _aPart I Basic Principles of the Transcriptome and Its Analysis |
505 | 0 | 0 | _aPart II Transcriptome in Disease |
505 | 0 | 0 |
_aTranscriptome Profiling in Autoimmune Diseases / _rCristhianna V. A. Collares and Eduardo A. Donad -- _tTranscriptome Profiling in Experimental Inflammatory Arthritis / _rOlga Martinez Ibanez, Jose Ricardo Jensen, and Marcelo De Franco -- _tTrannscriptomics and Immune Response in Human Cancer / _rL. P. Chaves, C. M. Melo, W. L utert-Dutra, A. L. Caliari, and J. A. Squire -- _tMicroRNAs in Cancer / _rAdriane F. Evangelista, Ana Julia A. de Freitas, Muriele B. Varuzza, Rhafaela L. Causin, Tatiana T. Komoto, and Marcia M. C. Marques -- _tOxidative Stress, DNA Damage, and Transcriptional Expression of DNA Repair and Stress Response Genes in Diabetes Mellitu / _rJessica Ellen B. F. Lima, Natalia C. S. Moreira, Paula Takahashi, Danilo J. Xavier, and Elza T. Sakamoto-Rojo -- _tLarge-Scale Gene Expression in Monogenic and Complex Genetic Diseases / _rAnette S. B. Wolff, Adam Handel, and Bergithe E. Oftedal -- _tTranscriptome in Human Mycoses / _rNalu T. A. Peres, Tamires A. Bitencourt, Gabriela F. Persinoti, Elza A. S. Lang, Antonio Rossi, and Nike M. Martinez-Rossi -- _tUnderstanding Chagas Disease by Multi-omics Data Integration, Functional, and Enrichment Computational Analysis / _rLudmila Rodrigues Pinto Ferreira |
505 | 0 | 0 |
_aWhat Is the Transcriptome and How It Is Evaluated / _rAmanda F. Assis, Ernna H. Oliveira, Paula B. Donate, Silvana Giuliatti, Catherine Nguyen, and Geraldo A. Passos -- _tAlternative Splicing of Pre-messenger RNA / _rVanessa Cristina Arfelli and Leticia Frohlich Ai;changelo -- _tTranscriptome Analysis Using RNA-seq and scRNA-s / _rWaldeyr Mendes Cordeiro Silva, Fabian-Andres Hurtado, Kelly Simi, Pedro Henrique Aragao Bai'i•6 , Dimitri Sokolowskei, Ildinete Silva-Pereira, Maria Emilia Walter, and Marcelo Brigido -- _tTranscriptomics of Neonatal and Infant Human Thymus / _rCarlos Alberto Moreira-Filho, Silvia Yurni Bando, Fernanda Bernardi Bertonha, and Magda Carneiro-Sarnpaio -- _tTranscriptomics at the Single Cell Level and Human Diseases: Opportunities and Challenges in Data Processing and Analysis / _rVinicius Maracaja-Coutinho and Patricia Severino -- _tMethods for Gene Co-expression Network Visualization and Analysis / _rCarlos Alberto Moreira-Filho, Silvia Yumi Bando, Fernanda Bernardi Bertonha, Filipi Nascimento Silva, and Luciano da Fontoura Costa -- _tComparative Analysis of Packages and Algorithms for the Analysis of Spatially Resolved Transcriptomics Data / _rNatalie Charitakis, Mirana Ramialison, and Hieu T. Nim -- _tThe Interplay Between the Ta·anscriptomics and Proteomics Profiles / _rJohn Oluwafemi Teibo, Virgfnia Campos Silve trini, Alessandra P. Varga , Guilherme Pauperio Lanfredi, and Vftor Marcel Fa a -- _tn·anscriptome During Normal Cell Differentiation / _rKarina FitLipaldi Bombonato-Prado, Adalberto Luiz Ro a, Paulo Tamba co de Oliveira, Janaina Andrea Dernowsek, Vanes a Fontana, Adriane Fcij6 Evangeli ra, and Geraldo A. Pa s -- _tTranscriptomics to Dis ect tbe Immune System / _rHideyuki Yo hicla, Mil uru Matsumoto, and Minoru Mat umolo |
520 | 0 | _aThe study of transcriptomics is key to understanding complex diseases. This new edition will build on the foundation of the first edition while incorporating the progress that has been made in the field of transcriptomics in the past six years, including bioinformatics for data analysis. Written by leading experts, chapters address new subjects such as methodological advances in large-scale sequencing, the sequencing of single-cells, and spatial transcriptomics. The new edition will address how transcriptomics may be used in combination with genetic strategies to identify causative genes in monogenic and complex genetic diseases. Coverage will also explore transcriptomics in challenging groups of diseases, such as cancer, inflammation, bacterial infection, and autoimmune diseases. The updated volume will be useful for geneticists, genome biologists, biomedical researchers, molecular biologists, bioinformaticians, and students, among others. | |
530 |
_a3 _ub |
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650 | 0 |
_aRNA _xHealth aspects. |
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655 | 4 | _aMEDICAL. | |
700 | 1 |
_aPassos, Geraldo A., _5 |
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942 |
_2lcc _O112-6190565-9980261 _RNURSING DEPARTMENT _cNUR _eAMAZON _hQP _i2021-2022 _k192.52 _m2021 _nNURS |
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_c69146 _d69146 |
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902 |
_a1 _bCynthia Snell _c1 _dCynthia Snell |