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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F24%3A00144055" target="_blank" >RIV/00216224:14740/24:00144055 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.13164/eeict.2024.142" target="_blank" >http://dx.doi.org/10.13164/eeict.2024.142</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.13164/eeict.2024.142" target="_blank" >10.13164/eeict.2024.142</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10611 - Plant sciences, botany

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings II of the Conference Student EEICT

ISBN

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ISSN

2788-1334

e-ISSN

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Number of pages

4

Pages from-to

142-145

Publisher name

Brno University of Technology

Place of publication

Brno

Event location

Brno

Event date

Jan 1, 2024

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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