Academic literature on the topic 'RNAseq analysis'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'RNAseq analysis.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "RNAseq analysis"
PAI, TUN-WEN, BO-HAN SU, PEI-CHIH WU, MARGARET DAH-TSYR CHANG, HAO-TENG CHANG, TAN-CHI FAN, and SHI-HWEI LIU. "UNIQUE PEPTIDE IDENTIFICATION OF RNaseA SUPERFAMILY SEQUENCES BASED ON REINFORCED MERGING ALGORITHMS." Journal of Bioinformatics and Computational Biology 04, no. 01 (February 2006): 75–92. http://dx.doi.org/10.1142/s0219720006001710.
Full textColombo, Anthony R., Timothy J. Triche Jr, and Giridharan Ramsingh. "Arkas: Rapid reproducible RNAseq analysis." F1000Research 6 (April 27, 2017): 586. http://dx.doi.org/10.12688/f1000research.11355.1.
Full textColombo, Anthony R., Timothy J. Triche Jr, and Giridharan Ramsingh. "Arkas: Rapid reproducible RNAseq analysis." F1000Research 6 (June 21, 2017): 586. http://dx.doi.org/10.12688/f1000research.11355.2.
Full textLamping, Mario, Damian Tobias Rieke, Frederick Klauschen, Korinna Jöhrens, Ioannis Anagnostopoulos, Dido Lenze, Inge Tinhofer, et al. "Clinical impact of comprehensive versus targeted genomic analysis for precision oncology." Journal of Clinical Oncology 37, no. 15_suppl (May 20, 2019): e13033-e13033. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e13033.
Full textGuo, Yan, Shilin Zhao, Chung-I. Li, Quanhu Sheng, and Yu Shyr. "RNAseqPS: A Web Tool for Estimating Sample Size and Power for RNAseq Experiment." Cancer Informatics 13s6 (January 2014): CIN.S17688. http://dx.doi.org/10.4137/cin.s17688.
Full textGuo, Yan, Shilin Zhao, Fei Ye, Quanhu Sheng, and Yu Shyr. "MultiRankSeq: Multiperspective Approach for RNAseq Differential Expression Analysis and Quality Control." BioMed Research International 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/248090.
Full textMora-Márquez, Fernando, José Luis Vázquez-Poletti, and Unai López de Heredia. "NGScloud2: optimized bioinformatic analysis using Amazon Web Services." PeerJ 9 (April 16, 2021): e11237. http://dx.doi.org/10.7717/peerj.11237.
Full textKalinina, Alena, and Diane Lagace. "Single-Cell and Single-Nucleus RNAseq Analysis of Adult Neurogenesis." Cells 11, no. 10 (May 13, 2022): 1633. http://dx.doi.org/10.3390/cells11101633.
Full textGuo, Yan, Chung-I. Li, Fei Ye, and Yu Shyr. "Evaluation of read count based RNAseq analysis methods." BMC Genomics 14, Suppl 8 (2013): S2. http://dx.doi.org/10.1186/1471-2164-14-s8-s2.
Full textPenaherrera, Daniel, Sheri Skerget, Austin Christofferson, Jessica Aldrich, Sara Nasser, Christophe Legendre, Martin Boateng, et al. "Development and Validation of a High Risk Multiple Myeloma Gene Expression Index from RNA Sequencing: An Mmrf Commpass Analysis." Blood 132, Supplement 1 (November 29, 2018): 1895. http://dx.doi.org/10.1182/blood-2018-99-119610.
Full textDissertations / Theses on the topic "RNAseq analysis"
Liu, Oscar H. "RNAseq Analysis of Gastric Bacteria in Helicobacter pylori-Associated Carcinogenesis." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-9937.
Full textSimon, Svenja [Verfasser]. "Visual Analysis of RNAseq Data : Discovering Genes in Bacteria / Svenja Simon." Konstanz : Bibliothek der Universität Konstanz, 2015. http://d-nb.info/1114886580/34.
Full textAksamit, Matthew Stephen. "Bioinformatic analysis of pea aphid salivary gland transcripts." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/32836.
Full textBiochemistry and Molecular Biophysics Interdepartmental Program
Gerald Reeck
Pea aphids (Acyrthosiphon pisum) are sap-sucking insects that feed on the phloem sap of some plants of the family Fabaceae (legumes). Aphids feed on host plants by inserting their stylets between plant cells to feed from phloem sap in sieve elements. Their feeding is of major agronomical importance, as aphids cause hundreds of millions of dollars in crop damage worldwide, annually. Salivary gland transcripts from plant-fed and diet-fed pea aphids were studied by RNASeq to analyze their expression. Most transcripts had higher expression in plant-fed pea aphids, likely due to the need for saliva protein in the aphid/plant interaction. Numerous salivary gland transcripts and saliva proteins have been identified in aphids, including a glutathione peroxidase. Glutathione peroxidases are a group of enzymes with the purpose of protecting organisms from oxidative damage. Here, I present a bioinformatic analysis of pea aphid expressed sequence tag libraries that identified four unique glutathione peroxidases in pea aphids. One glutathione peroxidase, ApGPx1 has high expression in the pea aphid salivary gland. Two glutathione peroxidase genes are present in the current annotation of the pea aphid genome. My work indicates that the two genes need to be revised.
Ahmed, Firdous. "Identification of potential biomarkers in lung cancer as possible diagnostic agents using bioinformatics and molecular approaches." University of the Western Cape, 2015. http://hdl.handle.net/11394/4862.
Full textLung cancer remains the leading cause of cancer deaths worldwide, with the majority of cases attributed to non-small cell lung carcinomas. At the time of diagnosis, a large percentage of patients present with advanced stage of disease, ultimately resulting in a poor prognosis. The identification circulatory markers, overexpressed by the tumour tissue, could facilitate the discovery of an early, specific, non-invasive diagnostic tool as well as improving prognosis and treatment protocols. The aim was to analyse gene expression data from both microarray and RNA sequencing platforms, using bioinformatics and statistical analysis tools. Enrichment analysis sought to identify genes, which were differentially expressed (p < 0.05, FC > 2) and had the potential to be secreted into the extracellular circulation, by using Gene Ontology terms of the Cellular Component. Results identified 1 657 statically significant genes between normal and early lung cancer tissue, with only 1 gene differentially expressed (DE) between the early and late stage disease. Following statistical analysis, 171 DE genes selected as potential early stage biomarkers. The overall sensitivity of RNAseq, in comparison to arrays enabled the identification of 57 potential serum markers. These genes of interest were all downregulated in the tumour tissue, and while they did not facilitate the discovery of an ideal diagnostic marker based on the set criteria in this study, their roles in disease initiation and progression require further analysis.
Sadacca, Benjamin. "Pharmacogenomic and High-Throughput Data Analysis to Overcome Triple Negative Breast Cancers Drug Resistance." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS538/document.
Full textGiven the large number of treatment-resistant triple-negative breast cancers, it is essential to understand the mechanisms of resistance and to find new effective molecules. First, we analyze two large-scale pharmacogenomic datasets. We propose a novel classification based on transcriptomic profiles of cell lines, according to a biological network-driven gene selection process. Our molecular classification shows greater homogeneity in drug response than when cell lines are grouped according to their original tissue. It also helps identify similar patterns of treatment response. In a second analysis, we study a cohort of patients with triple-negative breast cancer who have resisted to neoadjuvant chemotherapy. We perform complete molecular analyzes based on RNAseq and WES. We observe a high molecular heterogeneity of tumors before and after treatment. Although we highlighted clonal evolution under treatment, no recurrent mechanism of resistance could be identified Our results strongly suggest that each tumor has a unique molecular profile and that that it is increasingly important to have large series of tumors. Finally, we are improving a method for testing the overrepresentation of known RNA binding protein motifs in a given set of regulated sequences. This tool uses an innovative approach to control the proportion of false positives that is not realized by the existing algorithm. We show the effectiveness of our approach using two different datasets
Grosse-Holz, Friederike. "Proteases and inhibitors in the interaction between Nicotiana benthamiana and Agrobacterium tumefaciens : systematic analysis and emerging solutions for molecular farming." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:6146918c-3749-4604-88fa-01d426e4a817.
Full textDAS, VIVEK. "LEVERAGING TRANSCRIPTOMIC ANALYSIS TO IDENTIFY TRANSCRIPTION FACTORS ORCHESTRATING CANCER PROGRESSION." Doctoral thesis, Università degli Studi di Milano, 2018. http://hdl.handle.net/2434/559711.
Full textCouto, Joana Manuel Gonçalves Teixeira. "Transcriptomic analysis of Anopheles Stephensi salivary glands during the infection with Plasmodium Berghei." Master's thesis, Universidade de Aveiro, 2015. http://hdl.handle.net/10773/14639.
Full textMalaria remains the leading cause of morbidity and mortality in tropical and subtropical regions, contributing to the emergence of 198 million clinical cases in 2013. The mosquito Anopheles stephensi is one of the most prevalent malaria vectors in the Asian region having recently been implicated in malaria resurgence in Djibouti. Using techniques as RNA sequencing, differentially expressed genes in the salivary glands of the mosquito in response to infection by Plasmodium berghei were identified. Some of these genes can be selected to evaluate their potential as targets for malaria transmission blocking. Among the genes with differentially expression resulting from the analysis of RNA-seq results and confirmation by qPCR, a gene related transport of Cl- and HCO3 2-, prestin, was upregulated after infection with P. berghei. This gene plays a crucial role in parasite invasion in the midgut and the optimization of the environment in which the parasite develops. For this reason, the silencing of this transcript was made to evaluate the function of prestin in salivary glands. The gene silencing, using RNA interference technique, allow inferring about the role or function of prestin gene in a particular metabolic or physiological process. After prestin gene silencing, the number of viable mosquitoes had a significant decrease in comparison with the control (β2M). There was also a significant decrease in the number of mosquitoes before injection and at the last day after injection. The number of sporozoites were not generally affected by silencing of prestin when compared with the control. To clarify other results obtained during the study, as the influence of the silencing of prestin in the survival of mosquitoes and the presence and number of sporozoites in the salivary glands, will be essential to perform qPCR to determine differential expression of this gene after silencing. Furthermore, it is also important to examine differential expression of off-target (ASTE006714) after silencing prestin, since the sequence of this gene have a high percentage of identity with prestin.
A malária continua a ser a principal causa de morbilidade e mortalidade nas regiões tropicais e subtropicais, contribuindo para o surgimento de 198 milhões de casos clínicos no ano de 2013. O mosquito Anopheles stephensi é um dos vectores de malária mais prevalentes na região asiática, tendo sido recentemente implicado no ressurgimento de malária em Djibouti. Através de técnicas como sequenciação de RNA, genes diferenciadamente expressos nas glândulas salivares deste mosquito em resposta à infecção por Plasmodium berghei foram identificados. Alguns destes genes podem ser selecionados para avaliar a sua potencialidade como alvos para bloqueio da transmissão da malária. Entre os genes com expressão diferencial resultante da análise dos resultados de RNA-seq e confirmação por qPCR, um gene relacionado com o transporte de Cl- e HCO3 2-, prestin, estava sobrexpresso após infeção com P. berghei. Este gene tem um papel crucial na invasão do parasita no intestino médio e na optimização do meio em que o parasita se desenvolve. Por esse motivo, o silenciamento deste transcrito foi efectuado para averiguar o papel funcional nas glândulas salivares. O silenciamento de genes utilizando a técnica de RNA de interferência permite inferir sobre o seu papel ou função num dado processo metabólico ou fisiológico. Após o silenciamento do gene prestin, o número de mosquitos viáveis apresentou um decréscimo significativo em comparação com o controlo (β2M). Também houve uma queda significativa entre o número de mosquitos antes da injeção e no último dia após injecção. O número de esporozoítos em geral não foi afectado pelo silenciamento da prestin quando comparado com o controlo. Para esclarecer resultados obtidos durante o estudo, tais como a influência do silenciamento da prestin na sobrevivência dos mosquitos e a presença e número de esporozoítos na glândulas salivares, seria fundamental realizar ensaios de qPCR para determinar a expressão diferencial deste gene após silenciamento. Além disso, será também importante analisar a expressão diferencial do off-target (ASTE006714) após silenciamento da prestin, uma vez que a semelhança da sequência entre este e a prestin é elevada.
Ahmed, Fathima Zuba. "Unravelling genes responsible for successful anthocyanin production in Nicotiana benthamiana." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/230763/1/Fathima%20Zuba_Ahmed_Thesis.pdf.
Full textMeunier, Léa. "Analyse de signatures transcriptomiques et épigénétiques des carcinomes hépatocellulaires." Thesis, Université de Paris (2019-....), 2020. http://www.theses.fr/2020UNIP7082.
Full textElucidating deregulated transcriptional and epigenetic processes in cancers is fundamental to better understand the biological pathways involved and to propose a therapy adapted to the molecular phenotype of each tumor. Classical unsupervised classification approaches define, for each tumor type, the main molecular groups. However, these methods, applied to complex tumors such as hepatocellular carcinoma (HCC), the 3rd cause of cancer-associated mortality worldwide, define groups that remain relatively heterogeneous and only imperfectly reflect the diversity of biological mechanisms at work in these tumors. During my PhD, I developed a, innovative strategy involving independent component analysis (ICA) to extract signatures of precise biological processes in large transcriptomic and epigenetic tumor data sets. This new approach allowed me to identify groups of co-regulated genes associated with specific phenotypes or molecular alterations. Similarly, independent component analysis of the methylomes of 738 HCC revealed 13 stable epigenetic signatures preferentially active in specific tumors and CpG sites. These signatures include signatures previously associated with ageing and cancer, but also new hyper- and hypomethylation signatures related to specific driver events and molecular subgroups. The work presented in this thesis sheds light on the diversity of molecular processes remodeling liver cancer transcriptomes and methylomes, improve the understanding of the molecular mechanisms involved in hepatic carcinogenesis and provides a statistical framework to unravel the signatures of these processes
Books on the topic "RNAseq analysis"
1925-, Cherayil J. D., ed. Transfer RNAs and other soluble RNAs. Boca Raton: CRC Press, 1990.
Find full textCao, Haiming, ed. Functional Analysis of Long Non-Coding RNAs. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1158-6.
Full textRederstorff, Mathieu. Small non-coding RNAs: Methods and protocols. New York: Humana Press, 2015.
Find full textR Bioinformatics Cookbook: Use R and Bioconductor to Perform RNAseq, Genomics, Data Visualization, and Bioinformatic Analysis. Packt Publishing, Limited, 2019.
Find full textNellen, Wolfgang, and Christian Hammann. Small RNAs : : Analysis and Regulatory Functions. Springer London, Limited, 2007.
Find full textCao, Haiming. Functional Analysis of Long Non-Coding RNAs: Methods and Protocols. Springer, 2020.
Find full textCao, Haiming. Functional Analysis of Long Non-Coding RNAs: Methods and Protocols. Springer, 2021.
Find full text(Editor), Wolfgang Nellen, and Christian Hammann (Editor), eds. Small RNAs:: Analysis and Regulatory Functions (Nucleic Acids and Molecular Biology). Springer, 2007.
Find full text(Editor), Wolfgang Nellen, and Christian Hammann (Editor), eds. Small RNAs:: Analysis and Regulatory Functions (Nucleic Acids and Molecular Biology). Springer, 2005.
Find full textRederstorff, Mathieu. Small Non-Coding RNAs: Methods and Protocols. Springer, 2022.
Find full textBook chapters on the topic "RNAseq analysis"
Cagnin, Stefano, Enrico Alessio, Raphael Severino Bonadio, and Gabriele Sales. "Single-Cell RNAseq Analysis of lncRNAs." In Long Non-Coding RNAs in Cancer, 71–90. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1581-2_5.
Full textSharma, Preeti, B. Sharan Sharma, and Ramtej J. Verma. "A Guide to RNAseq Data Analysis Using Bioinformatics Approaches." In Advances in Bioinformatics, 243–60. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6191-1_12.
Full textMajerczyk, Charlotte D. "Global Expression Analysis of Quorum Sensing-Controlled Genes by RNAseq." In Methods in Molecular Biology, 177–92. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7309-5_14.
Full textCroce, Olivier, and Eric Röttinger. "Creating a User-Friendly and Open-Access Gene Expression Database for Comparing Embryonic Development and Regeneration in Nematostella vectensis." In Methods in Molecular Biology, 649–62. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2172-1_35.
Full textGrassmann, Felix. "Conduct and Quality Control of Differential Gene Expression Analysis Using High-Throughput Transcriptome Sequencing (RNASeq)." In Methods in Molecular Biology, 29–43. New York, NY: Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-8669-9_2.
Full textKopajtich, Robert, Johannes A. Mayr, and Holger Prokisch. "Analysis of Mitochondrial RNA-Processing Defects in Patient-Derived Tissues by qRT-PCR and RNAseq." In Methods in Molecular Biology, 379–90. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6824-4_23.
Full textOcaña, Kary, Lucas Cruz, Micaella Coelho, Rafael Terra, Marcelo Galheigo, Andre Carneiro, Diego Carvalho, et al. "ParslRNA-Seq: An Efficient and Scalable RNAseq Analysis Workflow for Studies of Differentiated Gene Expression." In Communications in Computer and Information Science, 174–89. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23821-5_13.
Full textEnder, Anna, Peter F. Stadler, Mario Mörl, and Sven Findeiß. "RNA Design Principles for Riboswitches that Regulate RNase P-Mediated tRNA Processing." In Riboregulator Design and Analysis, 179–202. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2421-0_11.
Full textEnder, Anna, Peter F. Stadler, Mario Mörl, and Sven Findeiß. "RNA Design Principles for Riboswitches that Regulate RNase P-Mediated tRNA Processing." In Riboregulator Design and Analysis, 179–202. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2421-0_11.
Full textHallier, Marc, Svetlana Chabelskaya, and Brice Felden. "Experimental Analyses of RNA-Based Regulations in Bacteria." In Regulatory RNAs, 341–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-662-45801-3_14.
Full textConference papers on the topic "RNAseq analysis"
Oba-Shinjo, Sueli M., Lais C. Cardoso, Roseli da Silva, Antonio M. Lerario, Miyuki Uno, and Suely S. K. Marie. "Abstract 66: CD99 functional analysis in glioblastoma by RNAseq." In Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.am2015-66.
Full textLegeai, Fabrice, Susete Alves-Carvalho, Kévin Gazengel, Anthony Bretaudeau, Stéphanie Robin, and Stéphanie Daval. "AskoR, A R Package for Easy RNASeq Data Analysis." In The 1st International Electronic Conference on Entomology. Basel, Switzerland: MDPI, 2021. http://dx.doi.org/10.3390/iece-10646.
Full textBhuvaneshwar, Krithika, Coleman I. Smith, Alexander H. Kroemer, Aiwu Ruth He, and Yuriy Gusev. "Abstract 548: RNAseq analysis of infiltrating immune cells in liver cancer." In Proceedings: AACR Annual Meeting 2017; April 1-5, 2017; Washington, DC. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.am2017-548.
Full textRyan, Michael C., and John N. Weinstein. "Abstract 1796: Analysis of TCGA RNASeq data using SpliceSeq provides a survey of alternative splicing in cancer." In Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1538-7445.am2013-1796.
Full textToccacieli, Ali, and Manuela Petti. "Identification of Cancer Biomarkers for Multi-class Diagnostics through Network Analysis of RNAseq Data of Tumor-Educated Platelets." In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2022. http://dx.doi.org/10.1109/bibm55620.2022.9995086.
Full textMavrommatis, Konstantinos, Lauren Intagliata, Garth McGrath, Daniel Civello, and Maureen Cronin. "Abstract 3626: Establishing a robust NGS laboratory workflow and analysis pipeline for FFPE specimen RNAseq to support biopharmaceutical translational research." In Proceedings: AACR 107th Annual Meeting 2016; April 16-20, 2016; New Orleans, LA. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1538-7445.am2016-3626.
Full textWu, Xue, Yue Zhao, Xiaoyu Xie, Xiaoling Xuei, Yunlong Liu, Lijun Cheng, and Lang Li. "Abstract 549: Genome-wide CRISPR-Cas9 screen and RNAseq analysis identify new candidate synthetic lethality partners to PARP inhibitor in triple-negative breast cancer." In Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-549.
Full textPineda, R. H., N. Mitash, K. Kohler, M. C. Melo Narvaez, J. Sembrat, M. Fangping, M. Lehmann, N. Kaminski, and M. Koenigshoff. "Differential RNAseq Analysis of an Ex-Vivo Human Fibrotic Tissue Slice Model Reveals Dysregulated Genes of Cellular Senescence and YAP/TAZ Signaling in Fibrosis." In American Thoracic Society 2022 International Conference, May 13-18, 2022 - San Francisco, CA. American Thoracic Society, 2022. http://dx.doi.org/10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a5229.
Full textSong, Hye-Won, Gretchen Y. Lam, Margaret Nakamoto, Punya Narayan, Ian Taylor, and Stefanie Mortimer. "Abstract 1345: Advances in single cell whole transcriptome analysis: Single nucleus RNAseq and simultaneous protein and mRNA profiling using the BD RhapsodyTMSingle-Cell Analysis system and BD®AbSeq." In Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-1345.
Full textZhang, Lan, Juan Zhang, and Qian Shi. "Abstract A6: RNAseq and immune profiling analysis of syngeneic mouse models treated with immune checkpoint inhibitors enable biomarker discovery and model selection for cancer immunotherapy." In Abstracts: AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; November 5-9, 2015; Boston, MA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1535-7163.targ-15-a6.
Full textReports on the topic "RNAseq analysis"
Lers, Amnon, E. Lomaniec, S. Burd, A. Khalchitski, L. Canetti, and Pamela J. Green. Analysis of Senescence Inducible Ribonuclease in Tomato: Gene Regulation and Function. United States Department of Agriculture, February 2000. http://dx.doi.org/10.32747/2000.7570563.bard.
Full textSchuster, Gadi, and David Stern. Integrated Studies of Chloroplast Ribonucleases. United States Department of Agriculture, September 2011. http://dx.doi.org/10.32747/2011.7697125.bard.
Full textGlazer, Itamar, Alice Churchill, Galina Gindin, and Michael Samish. Genomic and Organismal Studies to Elucidate the Mechanisms of Infectivity of Entomopathogenic Fungi to Ticks. United States Department of Agriculture, January 2013. http://dx.doi.org/10.32747/2013.7593382.bard.
Full textOri, Naomi, and Mark Estelle. Specific mediators of auxin activity during tomato leaf and fruit development. United States Department of Agriculture, January 2012. http://dx.doi.org/10.32747/2012.7597921.bard.
Full textLers, Amnon, and Pamela J. Green. LX Senescence-Induced Ribonuclease in Tomato: Function and Regulation. United States Department of Agriculture, September 2003. http://dx.doi.org/10.32747/2003.7586455.bard.
Full textEyal, Yoram, and Sheila McCormick. Molecular Mechanisms of Pollen-Pistil Interactions in Interspecific Crossing Barriers in the Tomato Family. United States Department of Agriculture, May 2000. http://dx.doi.org/10.32747/2000.7573076.bard.
Full textLers, Amnon, and Pamela J. Green. Analysis of Small RNAs Associated with Plant Senescence. United States Department of Agriculture, March 2013. http://dx.doi.org/10.32747/2013.7593393.bard.
Full textSplitter, Gary A., Menachem Banai, and Jerome S. Harms. Brucella second messenger coordinates stages of infection. United States Department of Agriculture, January 2011. http://dx.doi.org/10.32747/2011.7699864.bard.
Full textZhong, xiaoling. Diagnostic Significance of Noncoding RNAs in Kawasaki Disease: A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2022. http://dx.doi.org/10.37766/inplasy2022.10.0035.
Full textXu, Jianhao, Fang Cao, Yongwei Hu, and Zaichang Chen. Circulating long noncoding RNAs as potential biomarkers for stomach cancer: A systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2021. http://dx.doi.org/10.37766/inplasy2021.2.0079.
Full text