Molecular characterization of complement 9 in Epinephelus coioides and differential expression analysis of classical complement genes following Vibrio alginolyticus challenge

Ecotoxicology ◽  
2020 ◽  
Vol 29 (7) ◽  
pp. 837-845
Author(s):  
Sheng-Wei Luo ◽  
Wei Wei
Keyword(s):  
Differential Expression ◽  
Molecular Characterization ◽  
Expression Analysis ◽  
Differential Expression Analysis ◽  
Vibrio Alginolyticus ◽  
Epinephelus Coioides ◽  
Classical Complement

Molecular characterization and differential expression analysis of interleukin 1β from Ovis aries

2018 ◽  
Vol 116 ◽  
pp. 180-188 ◽  
Author(s):  
Yi-Ming Shui ◽  
Shi-Ying Lu ◽  
Xing Guo ◽  
Xi-Lin Liu ◽  
Bao-Quan Fu ◽  
...  
Keyword(s):  
Differential Expression ◽  
Molecular Characterization ◽  
Expression Analysis ◽  
Differential Expression Analysis ◽  
Ovis Aries ◽  
Interleukin 1Β

scholarly journals Best practices on the differential expression analysis of multi-species RNA-seq

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Matthew Chung ◽  
Vincent M. Bruno ◽  
David A. Rasko ◽  
Christina A. Cuomo ◽  
José F. Muñoz ◽  
...  
Keyword(s):  
Best Practices ◽  
Differential Expression ◽  
Expression Analysis ◽  
Differential Expression Analysis ◽  
Single Species ◽  
Rna Seq ◽  
Species Analysis ◽  
Differential Gene ◽  
Multiple Species ◽  
Downstream Analysis

AbstractAdvances in transcriptome sequencing allow for simultaneous interrogation of differentially expressed genes from multiple species originating from a single RNA sample, termed dual or multi-species transcriptomics. Compared to single-species differential expression analysis, the design of multi-species differential expression experiments must account for the relative abundances of each organism of interest within the sample, often requiring enrichment methods and yielding differences in total read counts across samples. The analysis of multi-species transcriptomics datasets requires modifications to the alignment, quantification, and downstream analysis steps compared to the single-species analysis pipelines. We describe best practices for multi-species transcriptomics and differential gene expression.

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