Comparison of software packages for detecting differential expression in RNA-seq studies

Cited by (424)

Items 401–424 of 424

1. Additional file 11 of Analysis of transcriptomic differences between NK603 maize and near-isogenic varieties using RNA sequencing and RT-qPCR
   Ben Ali, Sina-Elisabeth, Draxler, Agnes, Diana Poelzl, Sarah Zanon Agapito-Tenfen, Rupert Hochegger, Haslberger, Alexander G., Christian Brandes · 2020 · Figshare
2. Additional file 7 of Transcriptomic profiling of high- and low-spiking regions reveals novel epileptogenic mechanisms in focal cortical dysplasia type II patients
   Arpna Srivastava, Kumar, Krishan, Jyotirmoy Banerjee, Tripathi, Manjari, Vivek Dubey, Sharma, Devina, Nitin Yadav, Sharma, M. C., Sanjeev Lalwani, Ramesh S Doddamani et al. · 2021 · Figshare
3. Additional file 5 of High heterogeneity undermines generalization of differential expression results in RNA-Seq analysis
   Weitong Cui, Huaru Xue, Wei, Lei, Jin, Jinghua, Tian, Xuewen, Wang, Qinglu · 2021 · Figshare
4. Additional file 2 of A comparison of transcriptome analysis methods with reference genome
   Xu Liu, Jialu Zhao, Xue, Liting, Zhao, Tian, Wei Ding, Han, Yuying, Ye, Haihong · 2022 · Figshare
5. Additional file 6 of ROGUE: an R Shiny app for RNA sequencing analysis and biomarker discovery
   Alvin Farrel, Li, Peng, Sharon Veenbergen, Khushbu Patel, Maris, John M., Leonard, Warren J. · 2023 · Figshare
6. Additional file 3 of High heterogeneity undermines generalization of differential expression results in RNA-Seq analysis
   Weitong Cui, Huaru Xue, Wei, Lei, Jin, Jinghua, Tian, Xuewen, Wang, Qinglu · 2021 · Figshare
7. Additional file 2 of High heterogeneity undermines generalization of differential expression results in RNA-Seq analysis
   Weitong Cui, Huaru Xue, Wei, Lei, Jin, Jinghua, Tian, Xuewen, Wang, Qinglu · 2021 · Figshare
8. Additional file 2 of ROGUE: an R Shiny app for RNA sequencing analysis and biomarker discovery
   Alvin Farrel, Li, Peng, Sharon Veenbergen, Khushbu Patel, Maris, John M., Leonard, Warren J. · 2023 · Figshare
9. Additional file 2 of Transcriptomic profiling of high- and low-spiking regions reveals novel epileptogenic mechanisms in focal cortical dysplasia type II patients
   Arpna Srivastava, Kumar, Krishan, Jyotirmoy Banerjee, Tripathi, Manjari, Vivek Dubey, Sharma, Devina, Yadav, Nitin, Sharma, M. C., Sanjeev Lalwani, Ramesh S Doddamani et al. · 2021 · Figshare
10. Additional file 1 of Transcriptomic profiling of high- and low-spiking regions reveals novel epileptogenic mechanisms in focal cortical dysplasia type II patients
    Arpna Srivastava, Kumar, Krishan, Jyotirmoy Banerjee, Tripathi, Manjari, Vivek Dubey, Sharma, Devina, Nitin Yadav, Sharma, M. C., Sanjeev Lalwani, Doddamani, Ramesh et al. · 2021 · Figshare
11. Additional file 1 of A comparison of transcriptome analysis methods with reference genome
    Xu Liu, Jialu Zhao, Xue, Liting, Zhao, Tian, Wei Ding, Han, Yuying, Ye, Haihong · 2022 · Figshare
12. Additional file 1 of ROGUE: an R Shiny app for RNA sequencing analysis and biomarker discovery
    Alvin Farrel, Li, Peng, Sharon Veenbergen, Khushbu Patel, Maris, John M., Leonard, Warren J. · 2023 · Figshare
13. Analyse integrative des ARN longs non-codants chez le chien et leurs implications dans le melanome oral canin, modele des melanomes humains
    Céline Le Béguec · 2018
14. Etude des variations de l'expression génique induites par des perturbations environnementales dans le bassin Durancien : le modèle poisson
    Arnaud Ungaro · 2018 · theses.fr (ABES)
15. Identification des marques épigénétiques de prédisposition à l'obésité induite par un stress nutrionnel périnatal
    Jérémy Tournayre · 2019
16. Bioinformatique et analyse de données multiomiques : principes et applications chez les levures pathogènes Candida glabrata et Candida albicans
    Thomas Denecker · 2020 · theses.fr (ABES)
17. Extracting dynamic pathways with time-course gene expression datasets : from differential expression analysis to temporal multilayer networks
    Michaël Pierrelée · 2021 · theses.fr (ABES)
18. Contributions à la détection de marqueurs et à l'analyse de survie en oncologie
    Mathilde Sautreuil · 2021 · theses.fr (ABES)
19. Transcriptome and genome analysis based on alignment-free protocols
    Yunfeng Wang · 2021 · theses.fr (ABES)
20. Etude bioinformatique intégrative : déterminants et dynamique des interactions chromosomiques à longue distance
    Alexandre Heurteau · 2019
21. Differential transcriptomic landscapes of olive cultivars facing Xylella fastidiosa infection
    Valentina Fanelli, Monica Marilena Miazzi, Silvia Procino, Carmine Fruggiero, Lucas Cafferati Beltrame, Mariateresa Volpicella, Francesca Taranto, Isabella Mascio, Vito Montilon, Leonardo Susca et al. · 2026 · BMC Plant Biology
22. Revisiting differential expression analysis: An updated six-dimensional comparative study
    Jianxiong Wu, Shaoke Lu, Hui Yao, Zhaoyuan Fang · 2026 · PLoS ONE
23. Copper–zinc alloy induces fdx1 and dlat dependent cuproptosis in Cryptocaryon irritans via mitochondrial metabolic collapse
    Qaisra Siddique, Kaleem Ullah, Yue Sun, Dongqi Li, Kurt Buchmann, Xiao Xie, Fei Yin · 2026 · Marine Life Science & Technology
24. Computational models for biomarker identification in amyotrophic lateral sclerosis using transcriptomics and artificial intelligence
    Renu Yadav, P Sriram Kumar, Pragya Pragya, Jac Fredo Agastinose Ronickom · 2026 · Discover Artificial Intelligence