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%2F00843989%3A_____%2F24%3AE0111542" target="_blank" >RIV/00843989:_____/24:E0111542 - isvavai.cz</a>

Alternative codes found

RIV/00216305:26220/24:PU154766

Result on the web

<a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_2.pdf</a>

DOI - Digital Object Identifier

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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

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

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 30th Conference STUDENT EEICT 2024: Selected papers

ISBN

978-80-214-6230-4

ISSN

2788-1334

e-ISSN

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Number of pages

4

Pages from-to

142-145

Publisher name

Vysoké učení technické,

Place of publication

Brno : Vysoké učení technické, 2024

Event location

Brno, Czech Republic

Event date

Apr 23, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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