Detail publikace

Optimizing of pre-processing analysis for Illumina RNA-Seq data in Arabidopsis thaliana

SCHWARZEROVÁ, J. JANIGOVÁ, P. DVOŘÁČKOVÁ, M. WECKWERTH, W.

Originální název

Optimizing of pre-processing analysis for Illumina RNA-Seq data in Arabidopsis thaliana

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Gene expression analysis through RNA sequencing (RNA-Seq) has revolutionized molecular biology, providing profound insights into the intricate transcriptional landscapes of organisms. Arabidopsis thaliana, a widely studied model plant, serves as a cornerstone for investigating fundamental biological and ecology processes. However, accurate interpretation of RNASeq data hinges on meticulous pre-processing methods to ensure data integrity and trustworthiness, especially in the context of Illumina sequencing. In this research, we present a comprehensive framework for optimizing pre-processing analysis tailored specifically for Arabidopsis thaliana RNA-Seq datasets generated through Illumina sequencing. Our approach encompasses rigorous quality control, precise read alignment, transcript quantification, and normalization procedures crucial for subsequent differential expression analysis. Additionally, we address unique considerations and challenges inherent to Arabidopsis thaliana datasets, providing valuable insights for researchers in the field.

Klíčová slova

Gene expression analysis, Quality control, Arabidopsis thaliana, Transcriptomics

Autoři

SCHWARZEROVÁ, J.; JANIGOVÁ, P.; DVOŘÁČKOVÁ, M.; WECKWERTH, W.

Vydáno

23. 4. 2024

ISBN

978-80-214-6230-4

Kniha

Proceedings II of the 30st Conference STUDENT EEICT 2024: Selected papers.

Edice

1

ISSN

2788-1334

Periodikum

Proceedings II of the Conference STUDENT EEICT

Stát

Česká republika

Strany od

142

Strany do

146

Strany počet

4

BibTex

@inproceedings{BUT193427,
  author="Jana {Schwarzerová} and Patrícia {Janigová} and Martina {Dvořáčková} and Wolfram {Weckwerth}",
  title="Optimizing of pre-processing analysis for Illumina RNA-Seq data in Arabidopsis thaliana",
  booktitle="Proceedings II of the 30st Conference STUDENT EEICT 2024: Selected papers.",
  year="2024",
  series="1",
  journal="Proceedings II of the Conference STUDENT EEICT",
  pages="142--146",
  doi="10.13164/eeict.2024.142",
  isbn="978-80-214-6230-4",
  issn="2788-1334"
}