<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-16T19:48:22Z</responseDate><request verb="GetRecord" identifier="oai:gredos.usal.es:10366/153123" metadataPrefix="mods">https://gredos.usal.es/oai/request</request><GetRecord><record><header><identifier>oai:gredos.usal.es:10366/153123</identifier><datestamp>2025-04-30T20:36:42Z</datestamp><setSpec>com_10366_122575</setSpec><setSpec>com_10366_4512</setSpec><setSpec>com_10366_3823</setSpec><setSpec>col_10366_134243</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Canal-Alonso, Ángel</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Jiménez, Pedro</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Egido, Noelia</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Prieto Tejedor, Javier</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Corchado Rodríguez, Juan Manuel</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2023-10-03T10:10:22Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2023-10-03T10:10:22Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2022</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="uri">http://hdl.handle.net/10366/153123</mods:identifier>
<mods:abstract>[EN]Next-generation sequencing (NGS) has revolutionized the field of genomics, allowing a detailed and precise look at DNA. As 
this technology advanced, the need arose for standardized file formats to represent, analyze and store the vast data sets 
produced. In this article, we review the key file formats used in NGS: FASTA, FASTQ, BED, GFF, and VCF.
The FASTA format, one of the oldest, provides a basic representation of genomic and protein sequences, identifiable by 
unique headers. FASTQ is essential for NGS, as it stores both the sequence and the associated quality information. BED 
provides a tabular representation of genomic loci, while GFF details the localization and structure of genomic features in 
reference sequences. Finally, VCF has emerged as the predominant standard for documenting genetic variants, from simple 
SNPs to complex structural variants.
The adoption and adaptation of these formats have been fundamental for progress in bioinformatics and genomics. They 
provide a foundation on which to build sophisticated analyses, from gene discovery and function prediction to the 
identification of disease-associated variants. With a clear understanding of these formats, researchers and practitioners are 
better equipped to harness the power and potential of next-generation sequencing.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:subject>
<mods:topic>Next-Generation sequencing</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>File format</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Data sharing</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>File formats used in next generation sequencing: A literature review</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
</mods:mods></metadata></record></GetRecord></OAI-PMH>