Academic literature on the topic 'Analyse RNAseq'
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Journal articles on the topic "Analyse RNAseq"
Cribbs, Adam P., Sebastian Luna-Valero, Charlotte George, Ian M. Sudbery, Antonio J. Berlanga-Taylor, Stephen N. Sansom, Tom Smith, et al. "CGAT-core: a python framework for building scalable, reproducible computational biology workflows." F1000Research 8 (April 4, 2019): 377. http://dx.doi.org/10.12688/f1000research.18674.1.
Full textCribbs, Adam P., Sebastian Luna-Valero, Charlotte George, Ian M. Sudbery, Antonio J. Berlanga-Taylor, Stephen N. Sansom, Tom Smith, et al. "CGAT-core: a python framework for building scalable, reproducible computational biology workflows." F1000Research 8 (July 16, 2019): 377. http://dx.doi.org/10.12688/f1000research.18674.2.
Full textPortet, Anaïs, Eve Toulza, Ana Lokmer, Camille Huot, David Duval, Richard Galinier, and Benjamin Gourbal. "Experimental Infection of the Biomphalaria glabrata Vector Snail by Schistosoma mansoni Parasites Drives Snail Microbiota Dysbiosis." Microorganisms 9, no. 5 (May 18, 2021): 1084. http://dx.doi.org/10.3390/microorganisms9051084.
Full textAllen, S. J. W., S. H. Krawczyk, L. R. McGee, N. Bischofberger, A. S. Mulato, and J. M. Cherrington. "Inhibition of HIV-1 RNase H Activity by Nucleotide Dimers and Monomers." Antiviral Chemistry and Chemotherapy 7, no. 1 (February 1996): 37–45. http://dx.doi.org/10.1177/095632029600700107.
Full textAhrenfeldt, Johanne, Ditte S. Christensen, Andreas B. Østergaard, Judit Kisistók, Mateo Sokač, and Nicolai J. Birkbak. "The ratio of adaptive to innate immune cells differs between genders and associates with improved prognosis and response to immunotherapy." PLOS ONE 18, no. 2 (February 6, 2023): e0281375. http://dx.doi.org/10.1371/journal.pone.0281375.
Full textOrlandi, Elisa, Elisa De Tomi, Rachele Campagnari, Francesca Belpinati, Monica Rodolfo, Elisabetta Vergani, Giovanni Malerba, Macarena Gomez-Lira, Marta Menegazzi, and Maria Romanelli. "Human Melanoma Cells Differentially Express RNASEL/RNase-L and miR-146a-5p under Sex Hormonal Stimulation." Current Issues in Molecular Biology 44, no. 10 (October 11, 2022): 4790–802. http://dx.doi.org/10.3390/cimb44100326.
Full textOczkowicz, Maria, Małgorzata Świątkiewicz, Katarzyna Ropka-Molik, Artur Gurgul, and Kacper Żukowski. "Effects of Different Sources of Fat in the Diet of Pigs on the Liver Transcriptome Estimated by RNA-Seq." Annals of Animal Science 16, no. 4 (October 1, 2016): 1073–90. http://dx.doi.org/10.1515/aoas-2016-0033.
Full textPenttinen, Jenni, Dwi Ari Pujianto, Petra Sipilä, Ilpo Huhtaniemi, and Matti Poutanen. "Discovery in Silico and Characterization in Vitro of Novel Genes Exclusively Expressed in the Mouse Epididymis." Molecular Endocrinology 17, no. 11 (November 1, 2003): 2138–51. http://dx.doi.org/10.1210/me.2003-0008.
Full textMalvisi, Michela, Nico Curti, Daniel Remondini, Maria Grazia De Iorio, Fiorentina Palazzo, Gustavo Gandini, Silvia Vitali, Michele Polli, John L. Williams, and Giulietta Minozzi. "Combinatorial Discriminant Analysis Applied to RNAseq Data Reveals a Set of 10 Transcripts as Signatures of Exposure of Cattle to Mycobacterium avium subsp. paratuberculosis." Animals 10, no. 2 (February 5, 2020): 253. http://dx.doi.org/10.3390/ani10020253.
Full textRamanauskas, Karolis, and Boris Igić. "The evolutionary history of plant T2/S-type ribonucleases." PeerJ 5 (September 11, 2017): e3790. http://dx.doi.org/10.7717/peerj.3790.
Full textDissertations / Theses on the topic "Analyse RNAseq"
Benoit-Pilven, Clara. "Analyse de l’épissage alternatif dans les données RNAseq : développement et comparaison d’outils bioinformatiques." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE1280/document.
Full textAlternative splicing is the biological process that explain the large diversity of the proteome compared to the limited number of genes. This process allow a qualitative regulation (expressed isoforms) and a quantitative regulation (expression level). The growth of high-trhoughtput sequencing methods enabled the analysis of these two aspects (quantitative and qualitative regulation) with the same experiment (RNA-Seq). During my PhD, I developped a new tool to analyse alternative splicing from RNA-Seq data. I also participated in the automatisation of the complet pipeline of RNA-Seq analysis (expression and splicing). This pipeline has been used to analyse various datasets. Then, we compared our mapping-first tool, FaRLine, with an assembly-first method, KisSplice. We found that the predictions of the two pipelines overlapped (70\% of exon skipping events were common), but with noticeable differences. The mapping-first approach allowed to find more lowly expressed splicing variants, and was better in predicting exons overlapping repeated elements. The assembly-first approach allowed to find more novel variants, including novel unannotated exons and splice sites. It also predicted AS in families of paralog genes. Our work point out where the bioinformatic improvment are still needed. Finally, I participated in the developpement of bioinformatics methods to help biologists to evualuate the fonctionnal impact of splicing alteration : at the level of the protein product by annotating fonctionnal domain at the exon level or at a more global level, by integrating splicing modifications in signaling pathways
Meunier, 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
Riquier, Sébastien. "Dans les abysses du transcriptome : découverte de nouveaux biomarqueurs de cellules souches mésenchymateuses par analyse approfondie du RNAseq." Thesis, Montpellier, 2019. http://www.theses.fr/2019MONTT004.
Full textThe development of RNA sequencing, or RNAseq, have opened the path of intensive biomarkers research in many areas of biology. The complete information of the transcriptome contained in the output data, allows a bioinformatician to surpass the current knowledge and to access, thanks to advanced computer pipelines, to signatures of new interest. In this thesis, we are showing that these potential markers, classically used in clinical and pathological conditions, can be used to characterize cell types without extensive markers profile. We have studied mesenchymal stem cells, a type of adult multipotent stem cells, strongly used in clinics but without strickly specific positive markers. Our study mainly focuses on the search for non-annotated, long non-coding RNAs. These RNAs, also called "lncRNA", constitute an emerging class of transcripts and are still lightly explored.In addition, this category presents a highly tissue-related specificity. We have developed an optimized RNAseq pipeline for the reconstruction and quantification of non-annotated lncRNAs.Using public data from RNAseq, coming from different sources of MSC and other cell types, we have identified new non-annotated lncRNAs clearly and specifically expressed in MSCs. to complete this project, we developed Kmerator.jl, a bioinformatical tool that allows to decompose a transcript in k-mer, and select specific sub-sequences, in order to search and quantify at a faster rate the signature of our candidates in a large number of RNAseq dataset. After validation of these new biomarkers of MSCs by qPCR, we used several computer tools to predict their potential functions. Finally, we analyzed single-cell RNAseq data to address the heterogeneity of expression within MSC populations
Gonzalez, Claudia. "Étude des mécanismes immunitaires impliqués dans le contrôle de l'infection par le virus Nipah." Electronic Thesis or Diss., Lyon, École normale supérieure, 2024. http://www.theses.fr/2024ENSL0035.
Full textNipah virus (NiV) is a highly pathogenic paramyxovirus for humans, listed as a priority for research and development by the WHO. Pteropus bats are the natural asymptomatic reservoir of NiV and we investigated on the mechanisms allowing them to control the infection. For this, we conducted a comparative transcriptomic analysis between bat and human cells. We observed distinct immune profiles at the basal state. Bat cells show high levels of receptors like TLR-3 and TLR-8, which may explain the rapid viral detection. Additionally, the kinetics of gene expression resulted to be different among the two species, as we detected early gene activation in bats, while the response in humans was delayed. Early activation of the NF-kB pathway was observed in bats, and among these factors, c-Rel was one of the most expressed genes. Functional analysis revealed that both human and bat c-Rel proteins induce NF-kB pathway activation and are inhibited by the non-structural protein NiV-W. We also demonstrated the ability of bat c-Rel, unlike human c-Rel, to modulate IFN response promoter (ISRE) activity after IFN stimulation. This study suggests that the rapid and transient response of Pteropus may promote better regulation of pro-inflammatory responses and contribute to their ability to control NiV infection. Since no treatment or vaccine is available for this virus, the work also focused on evaluating a fusion inhibitor acting on virus entry and a vaccine. The latter, combining the CD40 receptor with the ectodomain of the G protein, was validated in vivo, demonstrating complete protection Nipah virus (NiV) is a highly pathogenic paramyxovirus for humans, listed as a priority for research and development by the WHO. Pteropus bats are the natural asymptomatic reservoir of NiV and we investigated on the mechanisms allowing them to control the infection. For this, we conducted a comparative transcriptomic analysis between bat and human cells. We observed distinct immune profiles at the basal state. Bat cells show high levels of receptors like TLR-3 and TLR-8, which may explain the rapid viral detection. Additionally, the kinetics of gene expression resulted to be different among the two species, as we detected early gene activation in bats, while the response in humans was delayed. Early activation of the NF-kB pathway was observed in bats, and among these factors, c-Rel was one of the most expressed genes. Functional analysis revealed that both human and bat c-Rel proteins induce NF-kB pathway activation and are inhibited by the non-structural protein NiV-W. We also demonstrated the ability of bat c-Rel, unlike human c-Rel, to modulate IFN response promoter (ISRE) activity after IFN stimulation. This study suggests that the rapid and transient response of Pteropus may promote better regulation of pro-inflammatory responses and contribute to their ability to control NiV infection. Since no treatment or vaccine is available for this virus, the work also focused on evaluating a fusion inhibitor acting on virus entry and a vaccine. The latter, combining the CD40 receptor with the ectodomain of the G protein, was validated in vivo, demonstrating complete protection in immunized monkeys. These results open new perspectives for innovative antiviral approaches
Gössringer, Markus. "In-vivo-Analysen zur Funktion bakterieller RNase-P-Proteine in Bacillus subtilis." [S.l. : s.n.], 2004. http://archiv.ub.uni-marburg.de/diss/z2004/0529/.
Full textAhmed, 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.
Mary, Catherine. "Utilisation séquentielle des sites accepteurs d'épissage lors de l'expression du provirus HIV-1 : analyse par cartographie à la RNAse." Lyon 1, 1994. http://www.theses.fr/1994LYO1T236.
Full textAhmed, 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 textMarchant, Axelle. "Le processus de domiciliation des punaises hématophages vectrices de la maladie de Chagas : apport de l’étude du transcriptome chimiosensoriel." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLS008/document.
Full textIn Latin America, the bloodsucking bugs (Triatominae, Hemiptera, Reduviidae) are vectors of the parasite Trypanosoma cruzi, which causes Chagas disease. More than five million people are infected. Even if chemical control campaigns are effective against vectors, the disease persists due to the recolonization of human habitations by vectors from natural habitats. Some species have the capacity to adapt to anthroposystems (domiciliation process), while other related species do not. Understanding this capacity to adapt is crucial from an epidemiological perspective to target species at risk to humans. The capacity to adapt to a new habitat could be linked to changes in the repertoire of chemosensory system genes, particularly for odorant binding proteins (OBP) and chemosensory proteins (CSP), which are important proteins to detect various odor stimuli. This study is based on the chemosensory system of Triatominae to document the adaptation process and then the domiciliation of the vectors. Transcriptomic data obtained by high-throughput sequencing were used to annotate and list the chemosensory genes and also to compare their expression in bloodsucking bugs from different habitats. The relationship between changes in these genes in different Triatominae species and their ability to adapt to a new habitat was evaluated. The species T. brasiliensis, which is in the process of domiciliation in Brazil with sylvatic, peridomiciliary and domiciliary populations, and various species of the genus Rhodnius from diverse habitats were studied, especially the two sibling species R. robustus, sylvatic in the Amazonia and R. prolixus mostly domiciliary throughout its geographical range. In the absence of a reference genome for T. brasiliensis, a reference transcriptome via de novo assembly (data 454 and Illumina) was achieved. The reference transcriptomes for 10 Rhodnius species were also established using the de novo assembly method. A genome reference based method on R. prolixus was also used to assemble the transcriptome of the two species R. prolixus and R. robustus. In the different species of the Triatominae studied, the chemosensory gene repertoire showed a high diversity and genic expansions compared to that of others Paraneoptera, which could reflect adaptive process. Furthermore, a positive correlation was shown between the number of OBP genes in Rhodnius species and their domiciliation ability, suggesting that this gene family is involved in the adaptation to anthropogenic environment. The differential expression analyses on the T. brasiliensis populations and the R. prolixus / R. robustus species showed that some transcripts are differentially expressed according to the environment in which the bugs have evolved, especially the chemosensory genes (OBP, CSP) and also genes involved in the circadian rhythm and foraging behavior (Takeout), in the response to environmental stress such as detoxification genes (P450, glutathione S-transferase), in resistance to climatic changes (heat-shock proteins) and in protection from the external environment (cuticular proteins).This work has helped make available to the scientific community powerful tools for studying the process of domiciliation of Chagas disease vectors (transcriptome, gene repertoire). It also revealed genes that could be involved in the adaptation and/or phenotypic plasticity in response to a change in habitat. Understanding the molecular basis of vector adaptation to human dwellings opens the potential to develop new tools to control the disease vectors, for example by disrupting chemical communication
Loe-mie, Yann. "Contribution bioinformatique à l' analyse du transcriptome humain." Thesis, Aix-Marseille, 2012. http://www.theses.fr/2012AIXM4002/document.
Full textIn first part of this thesis I have analysed small RNA-seq transcriptome data. I have noticed : - a large fraction of reads can't be aligned perfectly on reference genome - lot of reads are very short (15-18 nt) and don't match on previously known functionnal small RNAs. These experiments are designed for miRNA discovery and bioinformatics analysis of these data use alignments on genome or on known small RNA precursors sequences. I have eliminated the alignment and I have clustered these sequences. This clustering let me to observe these data with a new view in wich the genomic location is not central and open the gate to discover unconventional events. The second part is the analysis of deregulate genes by the silencing of the gene REST/NRSF in mouse N18 cell line. This gene is a transcription factor and it works as a repressor of neuronal genes in non neuronal cells. This deregulate genes repertoire potentially contains key genes in neuron biology. We found in this repertoire a network of genes centered on SWI/SNF complex including SMARCA2. This gene was associated to schizophrenia (SZ) in association studies and structural variation studies. In this network we found another genes associated to SZ. We show that these genes exhibit positive evolution in primate compare to rodents
Books on the topic "Analyse RNAseq"
1925-, Cherayil J. D., ed. Transfer RNAs and other soluble RNAs. Boca Raton: CRC Press, 1990.
Find full textRederstorff, Mathieu. Small non-coding RNAs: Methods and protocols. New York: Humana Press, 2015.
Find full textKirch, Hans-Hubert. Strukturelle und funktionelle Analyse der Regulation zweier S-RNAse Gene aus Solanum tuberosum L. in transgenen Pflanzen. 1993.
Find full textScharnhorst, Christina. Analyse kerngenomkodierter messenger RNAs für chloroplastidäre Proteine der Erbse (Pisum sativum L.). [s.l.], 1987.
Find full textConrad, Frank. Neue Möglichkeiten der enzymatischen Synthese von modifizierten RNAs zur Analyse von Ribozym Reaktionen. 1995.
Find full textRederstorff, Mathieu. Small Non-Coding RNAs: Methods and Protocols. Springer, 2022.
Find full textRederstorff, Mathieu. Small Non-Coding RNAs: Methods and Protocols. Springer New York, 2016.
Find full textRederstorff, Mathieu. Small Non-Coding RNAs: Methods and Protocols. Springer, 2021.
Find full textNellen, Wolfgang, and Christian Hammann. Small RNAs : : Analysis and Regulatory Functions. Springer London, Limited, 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 textBook chapters on the topic "Analyse RNAseq"
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 textAgnelli, Luca, Stefania Bortoluzzi, and Giancarlo Pruneri. "Bioinformatic Pipelines to Analyze lncRNAs RNAseq Data." In Long Non-Coding RNAs in Cancer, 55–69. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1581-2_4.
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 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 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 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 textSkreka, Konstantinia, Michael Karbiener, Marek Zywicki, Alexander Hüttenhofer, Marcel Scheideler, and Mathieu Rederstorff. "Expression Profiling of ncRNAs Employing RNP Libraries and Custom LNA/DNA Microarray Analysis." In Regulatory RNAs, 229–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-662-45801-3_9.
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 textBoerner, Susan, and Karen M. McGinnis. "Computational Analysis of LncRNA from cDNA Sequences." In Long Non-Coding RNAs, 255–69. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3378-5_20.
Full textConference papers on the topic "Analyse RNAseq"
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 textBloom, Ryan, Raman Talwar, Jeff Hiken, and Jon Armstrong. "Abstract 1999: Cofactor Paragon: a novel tool to analyze the tumor microenvironment using RNAseq." 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.am2017-1999.
Full text"Genome-wide association and RNAseq analyses of sunflower resistance to Sclerotinia basal stalk rot." In IS-MPMI Congress. IS-MPMI, 2023. http://dx.doi.org/10.1094/ismpmi-2023-51.
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 textDuan, Jing-Hua, Fang-Dong Li, and Hong-Yan Du. "Identification and Sequence Analysis of Four S-RNase Genes in Plumcot (Prunus simonii Carr.)." In 2009 3rd International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2009). IEEE, 2009. http://dx.doi.org/10.1109/icbbe.2009.5162918.
Full textSingh, Vikram, and Ramakrishna Ramaswamy. "Spectral analysis of long noncoding RNAs." In Annual International Conference on BioInformatics and Computational Biology & Annual International Conference on Advances in Biotechnology. Global Science and Technology Forum, 2011. http://dx.doi.org/10.5176/978-981-08-8119-1_bicb27.
Full textReports on the topic "Analyse RNAseq"
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 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 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 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 textZhong, Xiaoling, Qin Guo, Jing Zhao, Yinyue Li, Xue Li, Min Ren, and Min Shu. Diagnostic significance of long non-coding RNAs expression in TB patients: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2020. http://dx.doi.org/10.37766/inplasy2020.7.0043.
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