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Quantitative bacterial transcriptomics with RNA-seq.
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RNA-Seq-Based Comparative Transcriptomics: RNA Preparation and Bioinformatics.
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Advances in bacterial transcriptome and transposon insertion-site profiling using second-generation sequencing.
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Quantitative transcriptome analysis using RNA-seq.
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Differential RNA-seq (dRNA-seq) for annotation of transcriptional start sites and small RNAs in Helicobacter pylori.
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Comprehensive identification and quantification of microbial transcriptomes by genome-wide unbiased methods.
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Differential RNA-seq: the approach behind and the biological insight gained.
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OpDetect: A convolutional and recurrent neural network classifier for precise and sensitive operon detection from RNA-seq data.
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Comparison of direct cDNA and PCR-cDNA Nanopore sequencing of RNA from isolates.
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Methods for studying microbial acid stress responses: from molecules to populations.
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Bacterial phenotypic heterogeneity through the lens of single-cell RNA sequencing.
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Transcriptional biomarker discovery toward building a load stress reporting system for engineered Escherichia coli strains.
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Methodologies for bacterial ribonuclease characterization using RNA-seq.
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What are housekeeping genes?
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Systems Biology on Acetogenic Bacteria for Utilizing C1 Feedstocks.
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and Regulate a Distinct Set of Protein-Coding Genes in Epithelial Cells.
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Primary transcriptome map of the hyperthermophilic archaeon Thermococcus kodakarensis.
BMC Genomics. 2014 Aug 16;15(1):684. doi: 10.1186/1471-2164-15-684.
3
READemption-a tool for the computational analysis of deep-sequencing-based transcriptome data.
Bioinformatics. 2014 Dec 1;30(23):3421-3. doi: 10.1093/bioinformatics/btu533. Epub 2014 Aug 13.
4
Pervasive transcription: illuminating the dark matter of bacterial transcriptomes.
Nat Rev Microbiol. 2014 Sep;12(9):647-53. doi: 10.1038/nrmicro3316. Epub 2014 Jul 28.
5
Differential RNA-seq: the approach behind and the biological insight gained.
Curr Opin Microbiol. 2014 Jun;19:97-105. doi: 10.1016/j.mib.2014.06.010. Epub 2014 Jul 12.
7
Dissemination of scientific software with Galaxy ToolShed.
Genome Biol. 2014 Feb 20;15(2):403. doi: 10.1186/gb4161.
8
Conservation of transcription start sites within genes across a bacterial genus.
mBio. 2014 Jul 1;5(4):e01398-14. doi: 10.1128/mBio.01398-14.
9
IVT-seq reveals extreme bias in RNA sequencing.
Genome Biol. 2014 Jun 30;15(6):R86. doi: 10.1186/gb-2014-15-6-r86.
10
Transcriptome dynamics-based operon prediction in prokaryotes.
BMC Bioinformatics. 2014 May 16;15:145. doi: 10.1186/1471-2105-15-145.

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