請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/3844
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳倩瑜 | |
dc.contributor.author | Mei-Ju Chen | en |
dc.contributor.author | 陳玫如 | zh_TW |
dc.date.accessioned | 2021-05-13T08:37:27Z | - |
dc.date.available | 2021-05-13T08:37:27Z | - |
dc.date.issued | 2016 | |
dc.date.submitted | 2016-07-27 | |
dc.identifier.citation | 1. Batista, P.J. and H.Y. Chang, Long noncoding RNAs: cellular address codes in development and disease. Cell, 2013. 152(6): p. 1298-307.
2. Wapinski, O. and H.Y. Chang, Long noncoding RNAs and human disease. Trends Cell Biol, 2011. 21(6): p. 354-61. 3. Deng, X. and V.H. Meller, roX RNAs are required for increased expression of X-linked genes in Drosophila melanogaster males. Genetics, 2006. 174(4): p. 1859-66. 4. Zhao, Y., et al., NONCODE 2016: an informative and valuable data source of long non-coding RNAs. Nucleic Acids Res, 2016. 44(D1): p. D203-8. 5. Young, R.S., et al., Identification and properties of 1,119 candidate lincRNA loci in the Drosophila melanogaster genome. Genome Biol Evol, 2012. 4(4): p. 427-42. 6. Graveley, B.R., et al., The developmental transcriptome of Drosophila melanogaster. Nature, 2011. 471(7339): p. 473-9. 7. Gullerova, M. and N.J. Proudfoot, Convergent transcription induces transcriptional gene silencing in fission yeast and mammalian cells. Nat Struct Mol Biol, 2012. 19(11): p. 1193-201. 8. Hobson, D.J., et al., RNA polymerase II collision interrupts convergent transcription. Mol Cell, 2012. 48(3): p. 365-74. 9. Sigova, A.A., et al., Divergent transcription of long noncoding RNA/mRNA gene pairs in embryonic stem cells. Proc Natl Acad Sci U S A, 2013. 110(8): p. 2876-81. 10. Gonzalez, E. and S. Joly, Impact of RNA-seq attributes on false positive rates in differential expression analysis of de novo assembled transcriptomes. BMC Res Notes, 2013. 6: p. 503. 11. Bullard, J.H., et al., Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments. BMC Bioinformatics, 2010. 11: p. 94. 12. Gierlinski, M., et al., Statistical models for RNA-seq data derived from a two-condition 48-replicate experiment. Bioinformatics, 2015. 31(22): p. 3625-30. 13. Yang, J.H., et al., ChIPBase: a database for decoding the transcriptional regulation of long non-coding RNA and microRNA genes from ChIP-Seq data. Nucleic Acids Res, 2013. 41(Database issue): p. D177-87. 14. Schlitt, T. and A. Brazma, Current approaches to gene regulatory network modelling. BMC Bioinformatics, 2007. 8. 15. Adryan, B. and S.A. Teichmann, The developmental expression dynamics of Drosophila melanogaster transcription factors. Genome Biol, 2010. 11(4): p. R40. 16. Levine, M. and R. Tjian, Transcription regulation and animal diversity. Nature, 2003. 424(6945): p. 147-151. 17. Tsai, H.K., et al., MYBS: a comprehensive web server for mining transcription factor binding sites in yeast. Nucleic Acids Research, 2007. 35: p. W221-W226. 18. Badis, G., et al., A Library of Yeast Transcription Factor Motifs Reveals a Widespread Function for Rsc3 in Targeting Nucleosome Exclusion at Promoters. Molecular Cell, 2008. 32(6): p. 878-887. 19. Zhu, C., et al., High-resolution DNA-binding specificity analysis of yeast transcription factors. Genome Research, 2009. 19(4): p. 556-566. 20. Mathelier, A., et al., JASPAR 2016: a major expansion and update of the open-access database of transcription factor binding profiles. Nucleic Acids Res, 2016. 44(D1): p. D110-5. 21. Wingender, E., The TRANSFAC project as an example of framework technology that supports the analysis of genomic regulation. Brief Bioinform, 2008. 9(4): p. 326-32. 22. Enuameh, M.S., et al., Global analysis of Drosophila Cys(2)-His(2) zinc finger proteins reveals a multitude of novel recognition motifs and binding determinants. Genome Res, 2013. 23(6): p. 928-40. 23. Eisen, M.B., et al., Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci U S A, 1998. 95(25): p. 14863-8. 24. Gasch, A.P., et al., Genomic expression programs in the response of yeast cells to environmental changes. Mol Biol Cell, 2000. 11(12): p. 4241-57. 25. Graveley, B.R., et al., The developmental transcriptome of Drosophila melanogaster. Nature, 2011. 471(7339): p. 473-479. 26. Chintapalli, V.R., J. Wang, and J.A.T. Dow, Using FlyAtlas to identify better Drosophila melanogaster models of human disease. Nature Genetics, 2007. 39(6): p. 715-720. 27. Hooper, S.D., et al., Identification of tightly regulated groups of genes during Drosophila melanogaster embryogenesis. Mol Syst Biol, 2007. 3. 28. Pisarev, A., et al., FlyEx, the quantitative atlas on segmentation gene expression at cellular resolution. Nucleic Acids Research, 2009. 37: p. D560-D566. 29. Harbison, C.T., et al., Transcriptional regulatory code of a eukaryotic genome. Nature, 2004. 431(7004): p. 99-104. 30. Roy, S., et al., Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE. Science, 2010. 330(6012): p. 1787-1797. 31. MacArthur, S., et al., Developmental roles of 21 Drosophila transcription factors are determined by quantitative differences in binding to an overlapping set of thousands of genomic regions. Genome Biology, 2009. 10(7). 32. Massie, C.E. and I.G. Mills, ChIPping away at gene regulation. Embo Reports, 2008. 9(4): p. 337-343. 33. Hoffman, B.G. and S.J.M. Jones, Genome-wide identification of DNA-protein interactions using chromatin immunoprecipitation coupled with flow cell sequencing. Journal of Endocrinology, 2009. 201(1): p. 1-13. 34. Moran, I., et al., Human β cell transcriptome analysis uncovers lncRNAs that are tissue-specific, dynamically regulated, and abnormally expressed in type 2 diabetes. Cell Metab, 2012. 16(4): p. 435-48. 35. Ilott, N.E. and C.P. Ponting, Predicting long non-coding RNAs using RNA sequencing. Methods, 2013. 63(1): p. 50-9. 36. Chen, M.J., et al., Integrating RNA-seq and ChIP-seq data to characterize long non-coding RNAs in Drosophila melanogaster. BMC Genomics, 2016. 17(1): p. 220. 37. Schuettengruber, B., et al., Functional anatomy of polycomb and trithorax chromatin landscapes in Drosophila embryos. PLoS Biol, 2009. 7(1): p. e13. 38. Barski, A., et al., High-resolution profiling of histone methylations in the human genome. Cell, 2007. 129(4): p. 823-37. 39. Guenther, M.G., et al., A chromatin landmark and transcription initiation at most promoters in human cells. Cell, 2007. 130(1): p. 77-88. 40. Navarro, P., et al., Molecular coupling of Xist regulation and pluripotency. Science, 2008. 321(5896): p. 1693-5. 41. Donohoe, M.E., et al., The pluripotency factor Oct4 interacts with Ctcf and also controls X-chromosome pairing and counting. Nature, 2009. 460(7251): p. 128-32. 42. Nesterova, T.B., et al., Pluripotency factor binding and Tsix expression act synergistically to repress Xist in undifferentiated embryonic stem cells. Epigenetics Chromatin, 2011. 4(1): p. 17. 43. Okazaki, Y., et al., Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs. Nature, 2002. 420(6915): p. 563-573. 44. Cawley, S., et al., Unbiased mapping of transcription factor binding sites along human chromosomes 21 and 22 points to widespread regulation of noncoding RNAs. Cell, 2004. 116(4): p. 499-509. 45. Ravasi, T., et al., Experimental validation of the regulated expression of large numbers of non-coding RNAs from the mouse genome. Genome Research, 2006. 16(1): p. 11-19. 46. Mercer, T.R., M.E. Dinger, and J.S. Mattick, Long non-coding RNAs: insights into functions. Nat Rev Genet, 2009. 10(3): p. 155-9. 47. Ponting, C.P., P.L. Oliver, and W. Reik, Evolution and Functions of Long Noncoding RNAs. Cell, 2009. 136(4): p. 629-641. 48. Wang, K.C. and H.Y. Chang, Molecular Mechanisms of Long Noncoding RNAs. Molecular Cell, 2011. 43(6): p. 904-914. 49. Quinn, J.J. and H.Y. Chang, Unique features of long non-coding RNA biogenesis and function. Nature Reviews Genetics, 2016. 17(1): p. 47-62. 50. Fatica, A. and I. Bozzoni, Long non-coding RNAs: new players in cell differentiation and development. Nature Reviews Genetics, 2014. 15(1): p. 7-21. 51. Lee, C. and N. Kikyo, Strategies to identify long noncoding RNAs involved in gene regulation. Cell and Bioscience, 2012. 2. 52. Cabili, M.N., et al., Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses. Genes & Development, 2011. 25(18): p. 1915-1927. 53. Wang, Y., et al., De novo prediction of RNA-protein interactions from sequence information. Molecular Biosystems, 2013. 9(1): p. 133-142. 54. Nacher, J.C. and N. Araki, Structural characterization and modeling of ncRNA-protein interactions. Biosystems, 2010. 101(1): p. 10-19. 55. Guo, X.L., et al., Long non-coding RNAs function annotation: a global prediction method based on bi-colored networks. Nucleic Acids Research, 2013. 41(2). 56. Brown, J.B., et al., Diversity and dynamics of the Drosophila transcriptome. Nature, 2014. 512(7515): p. 393-9. 57. Schuettengruber, B., et al., Functional anatomy of polycomb and trithorax chromatin landscapes in Drosophila embryos. PLoS Biol, 2009. 7(1): p. e1000013. 58. Wu, S.C., E.M. Kallin, and Y. Zhang, Role of H3K27 methylation in the regulation of lncRNA expression. Cell Res, 2010. 20(10): p. 1109-16. 59. Sun, Q.W., et al., R-Loop Stabilization Represses Antisense Transcription at the Arabidopsis FLC Locus. Science, 2013. 340(6132): p. 619-621. 60. Yang, F., et al., Repression of the Long Noncoding RNA-LET by Histone Deacetylase 3 Contributes to Hypoxia-Mediated Metastasis. Molecular Cell, 2013. 49(6): p. 1083-1096. 61. Jiang, Q.H., et al., TF2LncRNA: Identifying Common Transcription Factors for a List of lncRNA Genes from ChIP-Seq Data. Biomed Research International, 2014. 62. dos Santos, G., et al., FlyBase: introduction of the Drosophila melanogaster Release 6 reference genome assembly and large-scale migration of genome annotations. Nucleic Acids Res, 2015. 43(Database issue): p. D690-7. 63. Karolchik, D., et al., The UCSC Genome Browser database: 2014 update. Nucleic Acids Res, 2014. 42(Database issue): p. D764-70. 64. Matthews, B.B., et al., Gene Model Annotations for Drosophila melanogaster: Impact of High-Throughput Data. G3 (Bethesda), 2015. 5(8): p. 1721-36. 65. Xie, C., et al., NONCODEv4: exploring the world of long non-coding RNA genes. Nucleic Acids Res, 2014. 42(Database issue): p. D98-103. 66. Camacho, C., et al., BLAST+: architecture and applications. BMC Bioinf, 2009. 10: p. 421. 67. Trapnell, C., et al., Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nat Protoc, 2012. 7(3): p. 562-78. 68. Kong, L., et al., CPC: assess the protein-coding potential of transcripts using sequence features and support vector machine. Nucleic Acids Res, 2007. 35(Web Server issue): p. W345-9. 69. Yang, L., et al., Genomewide characterization of non-polyadenylated RNAs. Genome Biol, 2011. 12(2): p. R16. 70. Djebali, S., et al., Landscape of transcription in human cells. Nature, 2012. 489(7414): p. 101-8. 71. Livyatan, I., et al., Non-polyadenylated transcription in embryonic stem cells reveals novel non-coding RNA related to pluripotency and differentiation. Nucleic Acids Res, 2013. 41(12): p. 6300-15. 72. Novikova, I.V., S.P. Hennelly, and K.Y. Sanbonmatsu, Sizing up long non-coding RNAs: do lncRNAs have secondary and tertiary structure? Bioarchitecture, 2012. 2(6): p. 189-99. 73. Derrien, T., et al., The GENCODE v7 catalog of human long noncoding RNAs: analysis of their gene structure, evolution, and expression. Genome Res, 2012. 22(9): p. 1775-89. 74. Wang, F., et al., Characteristics of long non-coding RNAs in the Brown Norway rat and alterations in the Dahl salt-sensitive rat. Sci Rep, 2014. 4: p. 7146. 75. Flynn, R.A. and H.Y. Chang, Long noncoding RNAs in cell-fate programming and reprogramming. Cell Stem Cell, 2014. 14(6): p. 752-61. 76. Washington, N.L., et al., The modENCODE Data Coordination Center: lessons in harvesting comprehensive experimental details. Database (Oxford), 2011. 2011: p. bar023. 77. Langmead, B., et al., Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol, 2009. 10(3): p. R25. 78. Roberts, A. and L. Pachter, Streaming fragment assignment for real-time analysis of sequencing experiments. Nat Methods, 2013. 10(1): p. 71-3. 79. Karolchik, D., et al., The UCSC Genome Browser database: 2014 update. Nucleic Acids Research, 2014. 42(D1): p. D764-D770. 80. St Pierre, S.E., et al., FlyBase 102-advanced approaches to interrogating FlyBase. Nucleic Acids Research, 2014. 42(D1): p. D780-D788. 81. Hansen, K.D., S.E. Brenner, and S. Dudoit, Biases in Illumina transcriptome sequencing caused by random hexamer priming. Nucleic Acids Res, 2010. 38(12): p. e131. 82. Mikkelsen, T.S., et al., Genome-wide maps of chromatin state in pluripotent and lineage-committed cells. Nature, 2007. 448(7153): p. 553-60. 83. Wang, L., et al., CPAT: Coding-Potential Assessment Tool using an alignment-free logistic regression model. Nucleic Acids Res, 2013. 41(6): p. e74. 84. Ye, J., et al., Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction. BMC Bioinf, 2012. 13: p. 134. 85. Butler, J.E. and J.T. Kadonaga, The RNA polymerase II core promoter: a key component in the regulation of gene expression. Genes Dev, 2002. 16(20): p. 2583-92. 86. Pedersen, A.G., et al., The biology of eukaryotic promoter prediction--a review. Comput Chem, 1999. 23(3-4): p. 191-207. 87. Lee, D.H., et al., Functional characterization of core promoter elements: the downstream core element is recognized by TAF1. Molecular and Cellular Biology, 2005. 25(21): p. 9674-9686. 88. Bailey, T.L. and C. Elkan, Fitting a mixture model by expectation maximization to discover motifs in biopolymers. Proc Int Conf Intell Syst Mol Biol, 1994. 2: p. 28-36. 89. Chen, F., X. Gao, and A. Shilatifard, Stably paused genes revealed through inhibition of transcription initiation by the TFIIH inhibitor triptolide. Genes & Development, 2015. 29(1): p. 39-47. 90. Gallo, S.M., et al., REDfly v3.0: toward a comprehensive database of transcriptional regulatory elements in Drosophila. Nucleic Acids Res, 2011. 39(Database issue): p. D118-23. 91. Chen, C.Y., et al., Discovering gapped binding sites of yeast transcription factors. Proc Natl Acad Sci U S A, 2008. 105(7): p. 2527-32. 92. Kaplan, N., et al., The DNA-encoded nucleosome organization of a eukaryotic genome. Nature, 2009. 458(7236): p. 362-U129. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/3844 | - |
dc.description.abstract | 次世代定序技術(Next-generation sequencing; NGS)開啟RNA領域研究的新紀元。過往認為只是轉錄訊號擾動的長非編碼RNA (long non-coding RNA; lncRNA),已由許多研究證實其在許多重要生理機制中扮演要角。然而,現今文獻對於重要模式生物—黑腹果蠅(Drosophila melanogaster)的lncRNA瞭解仍相當有限;究其原因,乃黑腹果蠅lncRNA的基礎資訊之稀缺所致。因此,本論文追根溯源,由四個面向對黑腹果蠅lncRNA進行系統性探究—(1) 收集與發現:本論文開發一生物資訊方法,自我們產生的組織特異性RNA-seq資料鑑定出為數不少的新lncRNAs,並與公開資訊可收集之已知lncRNAs整合,呈現迄今最新之黑腹果蠅lncRNA資料集;(2) 特性註解:本論文採用大量的RNA-seq與ChIP-seq資料集(總計93組)增進現有lncRNA的註解資訊如轉錄方向與染色質特徵之品質,並進而觀察摘要出黑腹果蠅lncRNA的一般特性;(3) 基因表現:本論文以RT-qPCR實驗驗證了挑選之lncRNA的基因表現,並彰顯RNA-seq技術平台用於發現lncRNA的結果具有相當的可信度;(4) 轉錄調控:本論文提出一結合序列特徵探勘之生物資訊方法,系統性分析轉錄因子結合位(Transcription factor binding site; TFBS)於lncRNA啟動子出現與否,以及其與lncRNA基因轉錄調控的關聯性。結果顯示,當使用核小體佔據與跨物種保留性資訊,於共表現之編碼基因集進行序列探勘,其所得的序列特徵(或稱順式因子;cis-element),多數與已知的TFBS相似;此外,這些順式因子可在共表現之編碼基因與lncRNA基因的啟動子區域同時觀察得見(較常見於第三期幼蟲至雄蟲階段共表現群集),顯示出共表現之編碼基因與lncRNA基因具有被共同調控的可能性。簡言之,本論文彰顯系統性整合研究的優點,透過基因體與轉錄體資料的整合,大幅加速鑑別lncRNA的特性;而所得之觀察結果可作為黑腹果蠅lncRNA功能研究的堅實基礎。 | zh_TW |
dc.description.abstract | Recent advances in sequencing technology have opened a new era in RNA studies. Novel types of RNAs such as long non-coding RNAs (lncRNAs) have been found to play essential roles in biological processes. However, only limited information is available for lncRNAs in Drosophila melanogaster, an important model organism. Thus, this thesis aims at chracterizing fruit fly lncRNAs from four aspects: (1) collection and discovery; (2) annotation; (3) expression; and (4) regulation. I developed a computational approach to discover novel lncRNAs from the newly generated tissue-specific RNA-seq data, and then I combined the discovered lncRNAs with previously published lncRNAs into a curated dataset. Next, numerous RNA-seq and ChIP-seq datasets (93 sets) were used to improve the lncRNA annotation such as transcriptional direction and presence of conventional chromatin signatures. With these efforts, I summerized general characteristics of fruit fly lncRNAs in the thesis. In addition, I used RT-qPCR experiments to validate the expression of some randomly selected lncRNAs and demonstrated that RNA-seq is a reliable platform to discover lncRNAs. Moreover, I proposed a method to incorporate de novo motif discoveries to systemically investigate the presence of TFBSs in lncRNA promoters and how it is related to the regulation of lncRNA expression. The result revealed that most of the motifs (cis-elements) discovered from the co-expressed coding gene promoters are similar to the annotated TFBSs, where the motif dicscovery procedure considerd the information of nucleosome occupancy and evolutionary conservation. I also found that common cis-elements were usually observed in the promoters of the co-expressed coding and lncRNA genes in the development stages from L3 to male adlut. In conclusion, this thesis demostrated that integration of genomic and transcriptomic data can largely facilitate lncRNA discovery and characterization, and provided a solid foundation for studying the functions of lncRNAs in D. melanogaster. | en |
dc.description.provenance | Made available in DSpace on 2021-05-13T08:37:27Z (GMT). No. of bitstreams: 1 ntu-105-D99b48004-1.pdf: 3947061 bytes, checksum: 1f27c931f29bdea89d59479454b7bf7c (MD5) Previous issue date: 2016 | en |
dc.description.tableofcontents | 博士學位論文口試委員會審定書 i
ACKNOWLEDGMENTS ii 中文摘要 iii ABSTRACT iv TABLE OF CONTENTS v LIST OF FIGURES viii LIST OF TABLES xi CHAPTER 1 Introduction 1 1.1 Challenges of lncRNA studies in D. melanogaster 3 Limited numbers of known lncRNAs in D. melanogaster 3 Incomplete annotation of lncRNAs in D. melanogaster 4 Reliability of lncRNA expression detected from RNA-seq data 5 Transcriptional regulation of lncRNA expression 5 1.2 Integrative approach for characterizing lncRNAs by utilizing genomics and trnascriptomics data 7 1.3 Thesis structure 10 CHAPTER 2 Related Works 12 2.1 Brief history of long non-coding RNAs studies 12 2.2 Integrative and systemic studies on lncRNAs 13 2.2.1 Related works for characterizing lncRNAs in in Drosophila melanogaster 13 2.2.2 Related works for transcriptional regulation of lncRNA expression 14 CHAPTER 3 Collection and Discovery of lncRNAs in Drosophila melanogaster 17 3.1 Known lncRNAs collected from databases and literatures 17 3.2 Novel lncRNAs identified from brain samples 18 3.3 Up-to-date list of long non-coding RNAs in D. melanogaster 19 3.4 Methods for collection and discovery of fruit fly lncRNAs 19 3.4.1 Collection of published lncRNAs 19 3.4.2 RNA-seq data of the fly brain 22 3.4.3 Novel lncRNA discovery 23 CHAPTER 4 Annotation of the curated lncRNAs 26 4.1 Improving the annotation of the lncRNAs from Young et al. 26 4.2 Utilizing additional RNA-seq datasets to improve the annotation of the 4,599 curated lncRNA transcripts 28 4.3 General characteristics of the fruit fly lncRNAs 31 4.3.1 Location distribution of lncRNAs in Genome 31 4.3.2 Length and structure of lncRNAs 34 4.3.3 Evolutionary conservation of lncRNAs 37 4.3.4 Supporting evidences for lncRNA expression in the developmental stages… 39 4.4 Methods for annotation of the curated lncRNAs 46 4.4.1 Improving the annotation of curated lncRNAs 46 4.4.2 Genomic and transcriptomic data for supporting lncRNA expression in the developmental stages 49 CHAPTER 5 Reliability of lncRNA expression 52 5.1 Reliability of the lncRNAs newly discovered identified from brain samples 52 5.2 Experimental validation of a selected set from the curated lncRNAs by RT-qPCR 55 5.3 Details of the RT-qPCR experiments 58 CHAPTER 6 Regulation of lncRNA Expression 60 6.1 Hierarchical clustering of co-expressed coding and long non-coding genes 61 6.2 De novo motif discovery on the promoters of co-expressed coding genes 68 6.2.1 Promoter regions of genes in D. melanogaster 68 6.2.2 Parameter tuning for the weights of nucleosome occupancy and evolutionary conservation while conducting de novo motif discovery 70 6.2.3 Evaluation of the discovered motifs 72 6.3 Co-occurrence of TF binding motifs in the promoter regions of co-expressed coding and non-coding genes 74 6.4 Materials and methods for the proposed workflow 76 6.4.1 Collection of annotated transcription factor binding sites 76 6.4.2 Hierarchical clustering 76 6.4.3 De novo motif discovery of cis-elements from co-expressed coding gene promoters 77 6.4.4 Identification of shared cis-element in the co-expressed lncRNA promoters 78 CHAPTER 7 Limitations of this work 80 CHAPTER 8 Conclusions and Future Directions 82 REFERENCE: 84 APPENDIX 90 List of Publications 90 Appendix Figures 94 Appendix Tables 95 | |
dc.language.iso | en | |
dc.title | 黑腹果蠅長非編碼RNA特性研究 | zh_TW |
dc.title | Characterizing Long Non-coding RNAs in Drosophila melanogaster | en |
dc.type | Thesis | |
dc.date.schoolyear | 104-2 | |
dc.description.degree | 博士 | |
dc.contributor.coadvisor | 李文雄 | |
dc.contributor.oralexamcommittee | 蔡懷寬,莊樹諄,黃宣誠,阮雪芬,吳君泰 | |
dc.subject.keyword | 整合性研究,黑腹果蠅,長非編碼RNA,RNA定序技術,染色體免疫沉澱定序技術, | zh_TW |
dc.subject.keyword | Integrative research,Drosophila melanogaster,Long non-coding RNA,RNA-seq,ChIP-seq, | en |
dc.relation.page | 99 | |
dc.identifier.doi | 10.6342/NTU201601384 | |
dc.rights.note | 同意授權(全球公開) | |
dc.date.accepted | 2016-07-28 | |
dc.contributor.author-college | 生命科學院 | zh_TW |
dc.contributor.author-dept | 基因體與系統生物學學位學程 | zh_TW |
顯示於系所單位: | 基因體與系統生物學學位學程 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-105-1.pdf | 3.85 MB | Adobe PDF | 檢視/開啟 |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。