RNA-seq: from technology to biology

Keywords

Computational biology, Biology, Transcriptome, RNA-Seq, RNA

References

• Probabilistic base calling of Solexa sequencing dataJacques Rougemont, Arnaud Amzallag, Christian Iseli — 2008
• Fast and accurate short read alignment with Burrows–Wheeler transformHeng Li, Richard Durbin — 2009

Cited by

• Analyse bioinformatique du transcriptome des champignons mycorhiziens Tuber melanosporum et Glomus intraradicesÉmilie Tisserant — 2011
• The application of cDNA and tissue microarray methods in the study of human carcinomasKati Talvinen — 2010
• Adaptation genomics: the next generation.Ashish Nanda, Thomas J. DeLong, Scot H. Landry — 2010
• [Technological advances in single-cell genomic analyses].Richard Berkley, Maribel Colón, Juan G. Castaño — 2011
• A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysisMichel Vaïs — 2013
• Effects of subsampling on characteristics of RNA-seq data from triple-negative breast cancer patientsAlexey Stupnikov, Galina Glazko, Frank Emmert‐Streib — 2015
• Phenotypic and Transcriptomic Analyses of Autotetraploid and Diploid Mulberry (Morus alba L.)J. Vílchez, E. Ramírez, M. Villasmil — 2015
• RNAseq-based transcriptome comparison of Saccharomyces cerevisiae strains isolated from diverse fermentative environments.Íñigo Sánchez Llama — 2017
• Transcriptomic Studies of the Effect of nod Gene-Inducing Molecules in Rhizobia: Different Weapons, One PurposeZheng Da-ming — 2017
• Transcriptome analysis of Atlantic Herring (Clupea harengus) using Next Generation Sequencing (NGS)Nima Rafati — 2013
• Ehrlichia ruminantium : genome assembly and analysis with the identification and testing of vaccine candidate genesJunita Liebenberg — 2011
• Transcriptome analysis of the New Zealand sea urchin Kina (Evechinus Chloroticus)Gareth Gillard — 2014
• THE ANTIVIRAL ROLES OF ATG1 IN DROSOPHILA MELANOGASTER: IMMUNE RESPONSES AGAINST DROSOPHILA X VIRUSQian Wang — 2014
• Mapping RNA interactions to proteins in virions using CLIP-Seq.Baochang Fan, Peng Ni, C. Cheng Kao — 2015
• Comparing de novo and reference-based transcriptome assembly strategies by applying them to the blood-sucking bug Rhodnius prolixus.Axelle Marchant, Florence Mougel, Vagner José Mendonça — 2016
• De novo sequencing and assembly of Azadirachta indica fruit transcriptomeNeeraja M. Krishnan, Swetansu Pattnaik, Saligrama Deepak — 2011
• Characteristics of Pyrosequencing Data – Analysis, Methods, and ToolsSusanne Balzer — 2013
• Highly efficient identification of thousands of microsatellite loci in the pearl oyster (Pinctada martensii) from RNA-SeqYusong Guo, Xueying Wang, Zhongduo Wang — 2015
• DNA and RNA Nanobiotechnologies in Medicine: Diagnosis and Treatment of DiseasesVolker A. Erdmann, Jan Barciszewski — 2013
• Estudi bioinformàtic de la funcionalitat i conservació de l’splicing alternatiuJordi Morata Chirivella — 2012

Related papers

• Identification of biosynthetic pathways involved in flavonoid production in licorice by RNA-seq based transcriptome analysisTing Hu, Zhi-qiang Gao, Jiaming Hou — 2020
• Identification of Salt Stress Response Genes in Rosa chinensis Leaves by Comparative RNA-seq Analysis of Transcriptome DynamicsXin‐Xia Tian, Zh. Wang, Q. Zhang — 2019
• Collembola Regulate Biological Processes of a Plant: Evidence from a Rna-Seq-Based Transcriptome AnalysisMatthieu Chauvat, Isabelle Boulogne, Victor Bailleul — 2023
• Transcriptome Analysis of Cattle Embryos Based on Single Cell RNA-SeqJie Wang, Di Fang, Jianqing Zhao — 2022
• Supplementary Figure 1 from Characterizing the Impact of Smoking and Lung Cancer on the Airway Transcriptome Using RNA-SeqJennifer Beane, Jessica Vick, Frank Schembri — 2023
• RNA-Seq for transcriptome analysis in non-model plants.Rohini Garg, Mukesh Jain — 2013