<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.18710/FFANM0</identifier><creators><creator><creatorName nameType="Personal">Michoel, Tom</creatorName><givenName>Tom</givenName><familyName>Michoel</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0003-4749-4725</nameIdentifier><affiliation>University of Bergen</affiliation></creator></creators><titles><title>Educational dataset: Application of long read sequencing to determine expressed antigen diversity in Trypanosoma brucei infections</title></titles><publisher>DataverseNO</publisher><publicationYear>2023</publicationYear><subjects><subject>Medicine, Health and Life Sciences</subject><subject schemeURI="https://purl.obolibrary.org/obo/NCIT_C17964" subjectScheme="NCI Thesaurus OBO Edition">Bioinformatics</subject><subject schemeURI="https://edamontology.org/topic_0091" subjectScheme="EDAM - Bioscientific data analysis ontology">Bioinformatics</subject><subject schemeURI="http://purl.obolibrary.org/obo/NCIT_C153189" subjectScheme="NCI Thesaurus OBO Edition">Transcriptomics</subject><subject schemeURI="http://www.ebi.ac.uk/efo/EFO_0009966" subjectScheme="Experimental Factor Ontology">assay by long read sequencer</subject><subject schemeURI="http://purl.obolibrary.org/obo/NCBITaxon_185431" subjectScheme="NCBI organismal classification">Trypanosoma brucei TREU927</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Michoel, Tom</contributorName><givenName>Tom</givenName><familyName>Michoel</familyName><affiliation>University of Bergen</affiliation></contributor><contributor contributorType="Producer"><contributorName nameType="Personal">Morrison, Liam</contributorName><givenName>Liam</givenName><familyName>Morrison</familyName><affiliation>The University of Edinburgh</affiliation></contributor><contributor contributorType="DataCollector"><contributorName nameType="Organizational">Morrison, Liam (The University of Edinburgh)</contributorName></contributor><contributor contributorType="DataCurator"><contributorName nameType="Organizational">Jayaraman, Siddharth (The University of Edinburgh)</contributorName></contributor><contributor contributorType="Distributor"><contributorName nameType="Organizational">University of Bergen</contributorName></contributor></contributors><dates><date dateType="Created">2018-11-01</date><date dateType="Submitted">2023-09-22</date><date dateType="Updated">2023-10-30</date></dates><resourceType resourceTypeGeneral="Dataset">sequencing data</resourceType><relatedIdentifiers><relatedIdentifier relationType="IsCitedBy" relatedIdentifierType="DOI">10.1371/journal.pntd.0007262</relatedIdentifier></relatedIdentifiers><sizes><size>5324</size><size>31545649</size><size>23962094</size><size>22246377</size><size>29394269</size><size>33589359</size><size>39316971</size><size>30613434</size><size>37892945</size><size>11613340</size><size>36859733</size><size>6671747</size><size>24187634</size><size>16175290</size><size>20883261</size><size>20666356</size><size>24555636</size><size>29750177</size><size>29554042</size><size>22812408</size><size>20321564</size><size>512909223</size><size>2350389</size><size>481397</size><size>18784</size><size>485559</size></sizes><formats><format>text/plain</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format></formats><version>1.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</rights></rightsList><descriptions><description descriptionType="Abstract">&lt;p>
The dataset is created for use in the teaching of the undergraduate course &lt;a href="https://www.uib.no/en/course/BINF200">BINF200 - Analysis of Biological Sequences and Structures&lt;/a>, first used in Autumn 2023.
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&lt;p>
The dataset contains (1) the processed, filtered and sample annotated sequenced reads in fasta format from Jayaraman et al (2019), repackaged in individual sample files and (2) a local database of variant surface glycoprotein (VSG) sequences in the Trypanosoma brucei reference strain TREU927.
&lt;/p>

&lt;p>
The original data are available in GEO dataset &lt;a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM3151449">GSE114843&lt;/a>. Further details about the original data are available at &lt;a href="https://github.com/siddharthjayaraman/longread-application">github.com/siddharthjayaraman/longread-application&lt;/a> (archived at &lt;a href="https://doi.org/10.5281/zenodo.10043245">https://doi.org/10.5281/zenodo.10043245&lt;/a>).
&lt;p>

&lt;p>
The database of TREU927 VSG sequences is based on the (outdated) TREU927 genome v26. It is included for educational purposes and to reproduce results from the original publication. For research purposes always use the most recent genome version at &lt;a href="https://tritrypdb.org/">tritrypdb.org&lt;/a>. 
&lt;/p>

&lt;p>
The code that was used to generate the present data as well as educational notebooks of downstream analyses are available at &lt;a href="https://github.com/tmichoel/BINF200-bio-sequences-structures">github.com/tmichoel/BINF200-bio-sequences-structures&lt;/a>  (archived at &lt;a href="https://doi.org/10.5281/zenodo.10043222">https://doi.org/10.5281/zenodo.10043222&lt;/a>).
&lt;p>

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