• Corpus ID: 222141512

A comprehensive overview of computational tools for RNA-seq analysis

@article{Deshpande2020ACO,
  title={A comprehensive overview of computational tools for RNA-seq analysis},
  author={Dhrithi Deshpande and Karishma Chhugani and Yutong Chang and Aaron Karlsberg and Caitlin Loeffler and Jinyang Zhang and Agata Muszyńska and Jeremy Rotman and Laura Tao and Lana S. Martin and Brunilda Balliu and Elizabeth Tseng and Eleazar Eskin and Fangqing Zhao and Pejman Mohammadi and Pawel P. Labaj and Serghei Mangul},
  journal={arXiv: Genomics},
  year={2020}
}
RNA-sequencing (RNA-seq) has become an exemplar technology in modern biology and clinical applications over the past decade. It has gained immense popularity in the recent years driven by continuous efforts of the bioinformatics community to develop accurate and scalable computational tools. RNA-seq is a method of analyzing the RNA content of a sample using the modern sequencing platforms. It generates enormous amounts of genomic data in the form of nucleotide sequences, known as reads. RNA-seq… 

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