<?xml version="1.0" encoding="UTF-8" ?>
<oai_dc:dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:title>1LocusSim a mobile-friendly simulator for teaching population genetics</dc:title>
<dc:creator>Carvajal Rodríguez, Antonio</dc:creator>
<dc:subject>2409.03 Genética de Poblaciones</dc:subject>
<dc:description>MOTIVATION: Biology students often struggle with the fundamental concepts of evolutionary genetics, including genetic drift, mutation and selection. To address this problem, 1LocusSim was developed to simulate the interaction of different factors, such as population size, mutation, selection and dominance, to study their effect on allelic frequency during evolution. With 1LocusSim, students can compare theoretical results with simulation outputs and solve and analyze different problems of population genetics. The 1LocusSim web has a responsive design which means that it has been specifically designed to be used on smartphones. RESULTS: To demonstrate its use, I review the classical overdominance model of population genetics and highlight a characteristic that is often not explicitly stated. Specifically, it is emphasized that the equilibrium of the model does not depend on the homozygous selection coefficients but rather on the ratio of the selection coefficients. This is already clear from the classical formula but maybe not so much for students. Also it implies that the equilibrium can be expressed solely in terms of the dominance coefficient h. To verify this theoretical prediction, I utilize the simulator and calculate the equilibrium for the well-known case of sickle cell anemia. By utilizing this tool, students can learn at their own pace and convenience, anywhere and anytime. AVAILABILITY IMPLEMENTATION: 1LocusSim if freely available at https://1LocusSim-biosdev.pythonanywhere.com/. Website implemented under the Bottle micro web-framework for Python, with all major browsers supported. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online.</dc:description>
<dc:description>Xunta de Galicia | Ref. ED431C 2020/05</dc:description>
<dc:description>Universidade de Vigo/CISUG</dc:description>
<dc:date>2023-10-13T12:06:03Z</dc:date>
<dc:date>2023-10-13T12:06:03Z</dc:date>
<dc:date>2023-07-05</dc:date>
<dc:date>2023-10-13T10:45:37Z</dc:date>
<dc:type>article</dc:type>
<dc:identifier>Bioinformatics Advances, 3(1): vbad087 (2023)</dc:identifier>
<dc:identifier>26350041</dc:identifier>
<dc:identifier>http://hdl.handle.net/11093/5253</dc:identifier>
<dc:identifier>10.1093/bioadv/vbad087</dc:identifier>
<dc:identifier>https://academic.oup.com/bioinformaticsadvances/article/doi/10.1093/bioadv/vbad087/7219713</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights>Atribución 4.0 Internacional</dc:rights>
<dc:rights>https://creativecommons.org/licenses/by/4.0/deed.es</dc:rights>
<dc:rights>openAccess</dc:rights>
<dc:publisher>Bioinformatics Advances</dc:publisher>
<dc:publisher>Bioquímica, xenética e inmunoloxía</dc:publisher>
<dc:publisher>Xenética de Poboacións e Citoxenética</dc:publisher>
</oai_dc:dc>
<?xml version="1.0" encoding="UTF-8" ?>
<d:DIDL schemaLocation="urn:mpeg:mpeg21:2002:02-DIDL-NS http://standards.iso.org/ittf/PubliclyAvailableStandards/MPEG-21_schema_files/did/didl.xsd">
<d:DIDLInfo>
<dcterms:created schemaLocation="http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/dcterms.xsd">2023-10-13T12:06:03Z</dcterms:created>
</d:DIDLInfo>
<d:Item id="hdl_11093_5253">
<d:Descriptor>
<d:Statement mimeType="application/xml; charset=utf-8">
<dii:Identifier schemaLocation="urn:mpeg:mpeg21:2002:01-DII-NS http://standards.iso.org/ittf/PubliclyAvailableStandards/MPEG-21_schema_files/dii/dii.xsd">urn:hdl:11093/5253</dii:Identifier>
</d:Statement>
</d:Descriptor>
<d:Descriptor>
<d:Statement mimeType="application/xml; charset=utf-8">
<oai_dc:dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:title>1LocusSim a mobile-friendly simulator for teaching population genetics</dc:title>
<dc:creator>Carvajal Rodríguez, Antonio</dc:creator>
<dc:description>MOTIVATION: Biology students often struggle with the fundamental concepts of evolutionary genetics, including genetic drift, mutation and selection. To address this problem, 1LocusSim was developed to simulate the interaction of different factors, such as population size, mutation, selection and dominance, to study their effect on allelic frequency during evolution. With 1LocusSim, students can compare theoretical results with simulation outputs and solve and analyze different problems of population genetics. The 1LocusSim web has a responsive design which means that it has been specifically designed to be used on smartphones. RESULTS: To demonstrate its use, I review the classical overdominance model of population genetics and highlight a characteristic that is often not explicitly stated. Specifically, it is emphasized that the equilibrium of the model does not depend on the homozygous selection coefficients but rather on the ratio of the selection coefficients. This is already clear from the classical formula but maybe not so much for students. Also it implies that the equilibrium can be expressed solely in terms of the dominance coefficient h. To verify this theoretical prediction, I utilize the simulator and calculate the equilibrium for the well-known case of sickle cell anemia. By utilizing this tool, students can learn at their own pace and convenience, anywhere and anytime. AVAILABILITY IMPLEMENTATION: 1LocusSim if freely available at https://1LocusSim-biosdev.pythonanywhere.com/. Website implemented under the Bottle micro web-framework for Python, with all major browsers supported. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online.</dc:description>
<dc:date>2023-10-13T12:06:03Z</dc:date>
<dc:date>2023-10-13T12:06:03Z</dc:date>
<dc:date>2023-07-05</dc:date>
<dc:date>2023-10-13T10:45:37Z</dc:date>
<dc:type>article</dc:type>
<dc:identifier>Bioinformatics Advances, 3(1): vbad087 (2023)</dc:identifier>
<dc:identifier>26350041</dc:identifier>
<dc:identifier>http://hdl.handle.net/11093/5253</dc:identifier>
<dc:identifier>10.1093/bioadv/vbad087</dc:identifier>
<dc:identifier>https://academic.oup.com/bioinformaticsadvances/article/doi/10.1093/bioadv/vbad087/7219713</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights>https://creativecommons.org/licenses/by/4.0/deed.es</dc:rights>
<dc:rights>openAccess</dc:rights>
<dc:rights>Atribución 4.0 Internacional</dc:rights>
<dc:publisher>Bioinformatics Advances</dc:publisher>
<dc:publisher>Bioquímica, xenética e inmunoloxía</dc:publisher>
<dc:publisher>Xenética de Poboacións e Citoxenética</dc:publisher>
</oai_dc:dc>
</d:Statement>
</d:Descriptor>
<d:Component id="11093_5253_1">
</d:Component>
</d:Item>
</d:DIDL>
<?xml version="1.0" encoding="UTF-8" ?>
<dim:dim schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
<dim:field authority="3748" confidence="600" element="contributor" mdschema="dc" qualifier="author">Carvajal Rodríguez, Antonio</dim:field>
<dim:field element="date" mdschema="dc" qualifier="accessioned">2023-10-13T12:06:03Z</dim:field>
<dim:field element="date" mdschema="dc" qualifier="available">2023-10-13T12:06:03Z</dim:field>
<dim:field element="date" mdschema="dc" qualifier="issued">2023-07-05</dim:field>
<dim:field element="date" mdschema="dc" qualifier="updated">2023-10-13T10:45:37Z</dim:field>
<dim:field element="identifier" lang="spa" mdschema="dc" qualifier="citation">Bioinformatics Advances, 3(1): vbad087 (2023)</dim:field>
<dim:field element="identifier" mdschema="dc" qualifier="issn">26350041</dim:field>
<dim:field element="identifier" mdschema="dc" qualifier="uri">http://hdl.handle.net/11093/5253</dim:field>
<dim:field element="identifier" mdschema="dc" qualifier="doi">10.1093/bioadv/vbad087</dim:field>
<dim:field element="identifier" lang="spa" mdschema="dc" qualifier="editor">https://academic.oup.com/bioinformaticsadvances/article/doi/10.1093/bioadv/vbad087/7219713</dim:field>
<dim:field element="description" lang="spa" mdschema="dc" qualifier="abstract">MOTIVATION: Biology students often struggle with the fundamental concepts of evolutionary genetics, including genetic drift, mutation and selection. To address this problem, 1LocusSim was developed to simulate the interaction of different factors, such as population size, mutation, selection and dominance, to study their effect on allelic frequency during evolution. With 1LocusSim, students can compare theoretical results with simulation outputs and solve and analyze different problems of population genetics. The 1LocusSim web has a responsive design which means that it has been specifically designed to be used on smartphones. RESULTS: To demonstrate its use, I review the classical overdominance model of population genetics and highlight a characteristic that is often not explicitly stated. Specifically, it is emphasized that the equilibrium of the model does not depend on the homozygous selection coefficients but rather on the ratio of the selection coefficients. This is already clear from the classical formula but maybe not so much for students. Also it implies that the equilibrium can be expressed solely in terms of the dominance coefficient h. To verify this theoretical prediction, I utilize the simulator and calculate the equilibrium for the well-known case of sickle cell anemia. By utilizing this tool, students can learn at their own pace and convenience, anywhere and anytime. AVAILABILITY IMPLEMENTATION: 1LocusSim if freely available at https://1LocusSim-biosdev.pythonanywhere.com/. Website implemented under the Bottle micro web-framework for Python, with all major browsers supported. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online.</dim:field>
<dim:field element="description" lang="spa" mdschema="dc" qualifier="sponsorship">Xunta de Galicia | Ref. ED431C 2020/05</dim:field>
<dim:field element="description" lang="spa" mdschema="dc" qualifier="sponsorship">Universidade de Vigo/CISUG</dim:field>
<dim:field element="language" lang="spa" mdschema="dc" qualifier="iso">eng</dim:field>
<dim:field element="publisher" lang="spa" mdschema="dc">Bioinformatics Advances</dim:field>
<dim:field element="publisher" lang="spa" mdschema="dc" qualifier="departamento">Bioquímica, xenética e inmunoloxía</dim:field>
<dim:field element="publisher" lang="spa" mdschema="dc" qualifier="grupoinvestigacion">Xenética de Poboacións e Citoxenética</dim:field>
<dim:field element="rights" mdschema="dc">Atribución 4.0 Internacional</dim:field>
<dim:field element="rights" mdschema="dc" qualifier="uri">https://creativecommons.org/licenses/by/4.0/deed.es</dim:field>
<dim:field element="rights" lang="spa" mdschema="dc" qualifier="accessRights">openAccess</dim:field>
<dim:field element="title" lang="eng" mdschema="dc">1LocusSim a mobile-friendly simulator for teaching population genetics</dim:field>
<dim:field element="type" lang="spa" mdschema="dc">article</dim:field>
<dim:field element="subject" mdschema="dc" qualifier="unesco">2409.03 Genética de Poblaciones</dim:field>
<dim:field element="computerCitation" lang="spa" mdschema="dc">pub_title=Bioinformatics Advances|volume=3|journal_number=1|start_pag=vbad087|end_pag=</dim:field>
</dim:dim>
<?xml version="1.0" encoding="UTF-8" ?>
<thesis schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.0/ http://www.ndltd.org/standards/metadata/etdms/1.0/etdms.xsd">
<title>1LocusSim a mobile-friendly simulator for teaching population genetics</title>
<creator>Carvajal Rodríguez, Antonio</creator>
<description>MOTIVATION: Biology students often struggle with the fundamental concepts of evolutionary genetics, including genetic drift, mutation and selection. To address this problem, 1LocusSim was developed to simulate the interaction of different factors, such as population size, mutation, selection and dominance, to study their effect on allelic frequency during evolution. With 1LocusSim, students can compare theoretical results with simulation outputs and solve and analyze different problems of population genetics. The 1LocusSim web has a responsive design which means that it has been specifically designed to be used on smartphones. RESULTS: To demonstrate its use, I review the classical overdominance model of population genetics and highlight a characteristic that is often not explicitly stated. Specifically, it is emphasized that the equilibrium of the model does not depend on the homozygous selection coefficients but rather on the ratio of the selection coefficients. This is already clear from the classical formula but maybe not so much for students. Also it implies that the equilibrium can be expressed solely in terms of the dominance coefficient h. To verify this theoretical prediction, I utilize the simulator and calculate the equilibrium for the well-known case of sickle cell anemia. By utilizing this tool, students can learn at their own pace and convenience, anywhere and anytime. AVAILABILITY IMPLEMENTATION: 1LocusSim if freely available at https://1LocusSim-biosdev.pythonanywhere.com/. Website implemented under the Bottle micro web-framework for Python, with all major browsers supported. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online.</description>
<date>2023-10-13</date>
<date>2023-10-13</date>
<date>2023-07-05</date>
<date>2023-10-13</date>
<type>article</type>
<identifier>Bioinformatics Advances, 3(1): vbad087 (2023)</identifier>
<identifier>26350041</identifier>
<identifier>http://hdl.handle.net/11093/5253</identifier>
<identifier>10.1093/bioadv/vbad087</identifier>
<identifier>https://academic.oup.com/bioinformaticsadvances/article/doi/10.1093/bioadv/vbad087/7219713</identifier>
<language>eng</language>
<rights>https://creativecommons.org/licenses/by/4.0/deed.es</rights>
<rights>openAccess</rights>
<rights>Atribución 4.0 Internacional</rights>
<publisher>Bioinformatics Advances</publisher>
<publisher>Bioquímica, xenética e inmunoloxía</publisher>
<publisher>Xenética de Poboacións e Citoxenética</publisher>
</thesis>
<?xml version="1.0" encoding="UTF-8" ?>
<record schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
<leader>00925njm 22002777a 4500</leader>
<datafield ind1=" " ind2=" " tag="042">
<subfield code="a">dc</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="720">
<subfield code="a">Carvajal Rodríguez, Antonio</subfield>
<subfield code="e">author</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="260">
<subfield code="c">2023-07-05</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="520">
<subfield code="a">MOTIVATION: Biology students often struggle with the fundamental concepts of evolutionary genetics, including genetic drift, mutation and selection. To address this problem, 1LocusSim was developed to simulate the interaction of different factors, such as population size, mutation, selection and dominance, to study their effect on allelic frequency during evolution. With 1LocusSim, students can compare theoretical results with simulation outputs and solve and analyze different problems of population genetics. The 1LocusSim web has a responsive design which means that it has been specifically designed to be used on smartphones. RESULTS: To demonstrate its use, I review the classical overdominance model of population genetics and highlight a characteristic that is often not explicitly stated. Specifically, it is emphasized that the equilibrium of the model does not depend on the homozygous selection coefficients but rather on the ratio of the selection coefficients. This is already clear from the classical formula but maybe not so much for students. Also it implies that the equilibrium can be expressed solely in terms of the dominance coefficient h. To verify this theoretical prediction, I utilize the simulator and calculate the equilibrium for the well-known case of sickle cell anemia. By utilizing this tool, students can learn at their own pace and convenience, anywhere and anytime. AVAILABILITY IMPLEMENTATION: 1LocusSim if freely available at https://1LocusSim-biosdev.pythonanywhere.com/. Website implemented under the Bottle micro web-framework for Python, with all major browsers supported. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online.</subfield>
</datafield>
<datafield ind1="8" ind2=" " tag="024">
<subfield code="a">Bioinformatics Advances, 3(1): vbad087 (2023)</subfield>
</datafield>
<datafield ind1="8" ind2=" " tag="024">
<subfield code="a">26350041</subfield>
</datafield>
<datafield ind1="8" ind2=" " tag="024">
<subfield code="a">http://hdl.handle.net/11093/5253</subfield>
</datafield>
<datafield ind1="8" ind2=" " tag="024">
<subfield code="a">10.1093/bioadv/vbad087</subfield>
</datafield>
<datafield ind1="8" ind2=" " tag="024">
<subfield code="a">https://academic.oup.com/bioinformaticsadvances/article/doi/10.1093/bioadv/vbad087/7219713</subfield>
</datafield>
<datafield ind1="0" ind2="0" tag="245">
<subfield code="a">1LocusSim a mobile-friendly simulator for teaching population genetics</subfield>
</datafield>
</record>
<?xml version="1.0" encoding="UTF-8" ?>
<mets ID=" DSpace_ITEM_11093-5253" OBJID=" hdl:11093/5253" PROFILE="DSpace METS SIP Profile 1.0" TYPE="DSpace ITEM" schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd">
<metsHdr CREATEDATE="2024-09-29T08:59:36Z">
<agent ROLE="CUSTODIAN" TYPE="ORGANIZATION">
<name>Investigo</name>
</agent>
</metsHdr>
<dmdSec ID="DMD_11093_5253">
<mdWrap MDTYPE="MODS">
<xmlData schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:mods schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:role>
<mods:roleTerm type="text">author</mods:roleTerm>
</mods:role>
<mods:namePart>Carvajal Rodríguez, Antonio</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2023-10-13T12:06:03Z</mods:dateAccessioned>
</mods:extension>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2023-10-13T12:06:03Z</mods:dateAvailable>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2023-07-05</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Bioinformatics Advances, 3(1): vbad087 (2023)</mods:identifier>
<mods:identifier type="issn">26350041</mods:identifier>
<mods:identifier type="uri">http://hdl.handle.net/11093/5253</mods:identifier>
<mods:identifier type="doi">10.1093/bioadv/vbad087</mods:identifier>
<mods:identifier type="editor">https://academic.oup.com/bioinformaticsadvances/article/doi/10.1093/bioadv/vbad087/7219713</mods:identifier>
<mods:abstract>MOTIVATION: Biology students often struggle with the fundamental concepts of evolutionary genetics, including genetic drift, mutation and selection. To address this problem, 1LocusSim was developed to simulate the interaction of different factors, such as population size, mutation, selection and dominance, to study their effect on allelic frequency during evolution. With 1LocusSim, students can compare theoretical results with simulation outputs and solve and analyze different problems of population genetics. The 1LocusSim web has a responsive design which means that it has been specifically designed to be used on smartphones. RESULTS: To demonstrate its use, I review the classical overdominance model of population genetics and highlight a characteristic that is often not explicitly stated. Specifically, it is emphasized that the equilibrium of the model does not depend on the homozygous selection coefficients but rather on the ratio of the selection coefficients. This is already clear from the classical formula but maybe not so much for students. Also it implies that the equilibrium can be expressed solely in terms of the dominance coefficient h. To verify this theoretical prediction, I utilize the simulator and calculate the equilibrium for the well-known case of sickle cell anemia. By utilizing this tool, students can learn at their own pace and convenience, anywhere and anytime. AVAILABILITY IMPLEMENTATION: 1LocusSim if freely available at https://1LocusSim-biosdev.pythonanywhere.com/. Website implemented under the Bottle micro web-framework for Python, with all major browsers supported. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online.</mods:abstract>
<mods:language>
<mods:languageTerm authority="rfc3066">eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">Atribución 4.0 Internacional</mods:accessCondition>
<mods:titleInfo>
<mods:title>1LocusSim a mobile-friendly simulator for teaching population genetics</mods:title>
</mods:titleInfo>
<mods:genre>article</mods:genre>
</mods:mods>
</xmlData>
</mdWrap>
</dmdSec>
<amdSec ID="TMD_11093_5253">
<rightsMD ID="RIG_11093_5253">
<mdWrap MDTYPE="OTHER" MIMETYPE="text/plain" OTHERMDTYPE="DSpaceDepositLicense">
<binData>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</binData>
</mdWrap>
</rightsMD>
</amdSec>
<amdSec ID="FO_11093_5253_1">
<techMD ID="TECH_O_11093_5253_1">
<mdWrap MDTYPE="PREMIS">
<xmlData schemaLocation="http://www.loc.gov/standards/premis http://www.loc.gov/standards/premis/PREMIS-v1-0.xsd">
<premis:premis>
<premis:object>
<premis:objectIdentifier>
<premis:objectIdentifierType>URL</premis:objectIdentifierType>
<premis:objectIdentifierValue>https://www.investigo.biblioteca.uvigo.es/xmlui/bitstream/11093/5253/1/ACarvajal_1LocusSim23.pdf</premis:objectIdentifierValue>
</premis:objectIdentifier>
<premis:objectCategory>File</premis:objectCategory>
<premis:objectCharacteristics>
<premis:fixity>
<premis:messageDigestAlgorithm>MD5</premis:messageDigestAlgorithm>
<premis:messageDigest>bc5318d5c6c95d163e07ace2ef222d48</premis:messageDigest>
</premis:fixity>
<premis:size>210753</premis:size>
<premis:format>
<premis:formatDesignation>
<premis:formatName>application/pdf</premis:formatName>
</premis:formatDesignation>
</premis:format>
</premis:objectCharacteristics>
<premis:originalName>ACarvajal_1LocusSim23.pdf</premis:originalName>
</premis:object>
</premis:premis>
</xmlData>
</mdWrap>
</techMD>
</amdSec>
<amdSec ID="FT_11093_5253_4">
<techMD ID="TECH_T_11093_5253_4">
<mdWrap MDTYPE="PREMIS">
<xmlData schemaLocation="http://www.loc.gov/standards/premis http://www.loc.gov/standards/premis/PREMIS-v1-0.xsd">
<premis:premis>
<premis:object>
<premis:objectIdentifier>
<premis:objectIdentifierType>URL</premis:objectIdentifierType>
<premis:objectIdentifierValue>https://www.investigo.biblioteca.uvigo.es/xmlui/bitstream/11093/5253/4/ACarvajal_1LocusSim23.pdf.txt</premis:objectIdentifierValue>
</premis:objectIdentifier>
<premis:objectCategory>File</premis:objectCategory>
<premis:objectCharacteristics>
<premis:fixity>
<premis:messageDigestAlgorithm>MD5</premis:messageDigestAlgorithm>
<premis:messageDigest>6491ecb0469b96b0c2a2092f3cbe3f8f</premis:messageDigest>
</premis:fixity>
<premis:size>11699</premis:size>
<premis:format>
<premis:formatDesignation>
<premis:formatName>text/plain</premis:formatName>
</premis:formatDesignation>
</premis:format>
</premis:objectCharacteristics>
<premis:originalName>ACarvajal_1LocusSim23.pdf.txt</premis:originalName>
</premis:object>
</premis:premis>
</xmlData>
</mdWrap>
</techMD>
</amdSec>
<fileSec>
<fileGrp USE="ORIGINAL">
<file ADMID="FO_11093_5253_1" CHECKSUM="bc5318d5c6c95d163e07ace2ef222d48" CHECKSUMTYPE="MD5" GROUPID="GROUP_BITSTREAM_11093_5253_1" ID="BITSTREAM_ORIGINAL_11093_5253_1" MIMETYPE="application/pdf" SEQ="1" SIZE="210753">
</file>
</fileGrp>
<fileGrp USE="TEXT">
<file ADMID="FT_11093_5253_4" CHECKSUM="6491ecb0469b96b0c2a2092f3cbe3f8f" CHECKSUMTYPE="MD5" GROUPID="GROUP_BITSTREAM_11093_5253_4" ID="BITSTREAM_TEXT_11093_5253_4" MIMETYPE="text/plain" SEQ="4" SIZE="11699">
</file>
</fileGrp>
</fileSec>
<structMap LABEL="DSpace Object" TYPE="LOGICAL">
<div ADMID="DMD_11093_5253" TYPE="DSpace Object Contents">
<div TYPE="DSpace BITSTREAM">
</div>
</div>
</structMap>
</mets>
<?xml version="1.0" encoding="UTF-8" ?>
<mods:mods schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Carvajal Rodríguez, Antonio</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2023-10-13T12:06:03Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2023-10-13T12:06:03Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2023-07-05</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Bioinformatics Advances, 3(1): vbad087 (2023)</mods:identifier>
<mods:identifier type="issn">26350041</mods:identifier>
<mods:identifier type="uri">http://hdl.handle.net/11093/5253</mods:identifier>
<mods:identifier type="doi">10.1093/bioadv/vbad087</mods:identifier>
<mods:identifier type="editor">https://academic.oup.com/bioinformaticsadvances/article/doi/10.1093/bioadv/vbad087/7219713</mods:identifier>
<mods:abstract>MOTIVATION: Biology students often struggle with the fundamental concepts of evolutionary genetics, including genetic drift, mutation and selection. To address this problem, 1LocusSim was developed to simulate the interaction of different factors, such as population size, mutation, selection and dominance, to study their effect on allelic frequency during evolution. With 1LocusSim, students can compare theoretical results with simulation outputs and solve and analyze different problems of population genetics. The 1LocusSim web has a responsive design which means that it has been specifically designed to be used on smartphones. RESULTS: To demonstrate its use, I review the classical overdominance model of population genetics and highlight a characteristic that is often not explicitly stated. Specifically, it is emphasized that the equilibrium of the model does not depend on the homozygous selection coefficients but rather on the ratio of the selection coefficients. This is already clear from the classical formula but maybe not so much for students. Also it implies that the equilibrium can be expressed solely in terms of the dominance coefficient h. To verify this theoretical prediction, I utilize the simulator and calculate the equilibrium for the well-known case of sickle cell anemia. By utilizing this tool, students can learn at their own pace and convenience, anywhere and anytime. AVAILABILITY IMPLEMENTATION: 1LocusSim if freely available at https://1LocusSim-biosdev.pythonanywhere.com/. Website implemented under the Bottle micro web-framework for Python, with all major browsers supported. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">https://creativecommons.org/licenses/by/4.0/deed.es</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">openAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Atribución 4.0 Internacional</mods:accessCondition>
<mods:titleInfo>
<mods:title>1LocusSim a mobile-friendly simulator for teaching population genetics</mods:title>
</mods:titleInfo>
<mods:genre>article</mods:genre>
</mods:mods>
<?xml version="1.0" encoding="UTF-8" ?>
<atom:entry schemaLocation="http://www.w3.org/2005/Atom http://www.kbcafe.com/rss/atom.xsd.xml">
<atom:id>http://hdl.handle.net/11093/5253/ore.xml</atom:id>
<atom:published>2023-10-13T12:06:03Z</atom:published>
<atom:updated>2023-10-13T12:06:03Z</atom:updated>
<atom:source>
<atom:generator>Investigo</atom:generator>
</atom:source>
<atom:title>1LocusSim a mobile-friendly simulator for teaching population genetics</atom:title>
<atom:author>
<atom:name>Carvajal Rodríguez, Antonio</atom:name>
</atom:author>
<oreatom:triples>
<rdf:Description about="http://hdl.handle.net/11093/5253/ore.xml#atom">
<dcterms:modified>2023-10-13T12:06:03Z</dcterms:modified>
</rdf:Description>
<rdf:Description about="https://www.investigo.biblioteca.uvigo.es/xmlui/bitstream/11093/5253/1/ACarvajal_1LocusSim23.pdf">
<dcterms:description>ORIGINAL</dcterms:description>
</rdf:Description>
<rdf:Description about="https://www.investigo.biblioteca.uvigo.es/xmlui/bitstream/11093/5253/2/license.txt">
<dcterms:description>LICENSE</dcterms:description>
</rdf:Description>
<rdf:Description about="https://www.investigo.biblioteca.uvigo.es/xmlui/bitstream/11093/5253/3/sword.zip">
<dcterms:description>SWORD</dcterms:description>
</rdf:Description>
<rdf:Description about="https://www.investigo.biblioteca.uvigo.es/xmlui/bitstream/11093/5253/4/ACarvajal_1LocusSim23.pdf.txt">
<dcterms:description>TEXT</dcterms:description>
</rdf:Description>
</oreatom:triples>
</atom:entry>
<?xml version="1.0" encoding="UTF-8" ?>
<qdc:qualifieddc schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
<dc:title>1LocusSim a mobile-friendly simulator for teaching population genetics</dc:title>
<dc:creator>Carvajal Rodríguez, Antonio</dc:creator>
<dcterms:abstract>MOTIVATION: Biology students often struggle with the fundamental concepts of evolutionary genetics, including genetic drift, mutation and selection. To address this problem, 1LocusSim was developed to simulate the interaction of different factors, such as population size, mutation, selection and dominance, to study their effect on allelic frequency during evolution. With 1LocusSim, students can compare theoretical results with simulation outputs and solve and analyze different problems of population genetics. The 1LocusSim web has a responsive design which means that it has been specifically designed to be used on smartphones. RESULTS: To demonstrate its use, I review the classical overdominance model of population genetics and highlight a characteristic that is often not explicitly stated. Specifically, it is emphasized that the equilibrium of the model does not depend on the homozygous selection coefficients but rather on the ratio of the selection coefficients. This is already clear from the classical formula but maybe not so much for students. Also it implies that the equilibrium can be expressed solely in terms of the dominance coefficient h. To verify this theoretical prediction, I utilize the simulator and calculate the equilibrium for the well-known case of sickle cell anemia. By utilizing this tool, students can learn at their own pace and convenience, anywhere and anytime. AVAILABILITY IMPLEMENTATION: 1LocusSim if freely available at https://1LocusSim-biosdev.pythonanywhere.com/. Website implemented under the Bottle micro web-framework for Python, with all major browsers supported. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online.</dcterms:abstract>
<dcterms:dateAccepted>2023-10-13T12:06:03Z</dcterms:dateAccepted>
<dcterms:available>2023-10-13T12:06:03Z</dcterms:available>
<dcterms:created>2023-10-13T12:06:03Z</dcterms:created>
<dcterms:issued>2023-07-05</dcterms:issued>
<dc:type>article</dc:type>
<dc:identifier>Bioinformatics Advances, 3(1): vbad087 (2023)</dc:identifier>
<dc:identifier>26350041</dc:identifier>
<dc:identifier>http://hdl.handle.net/11093/5253</dc:identifier>
<dc:identifier>10.1093/bioadv/vbad087</dc:identifier>
<dc:identifier>https://academic.oup.com/bioinformaticsadvances/article/doi/10.1093/bioadv/vbad087/7219713</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights>https://creativecommons.org/licenses/by/4.0/deed.es</dc:rights>
<dc:rights>openAccess</dc:rights>
<dc:rights>Atribución 4.0 Internacional</dc:rights>
<dc:publisher>Bioinformatics Advances</dc:publisher>
<dc:publisher>Bioquímica, xenética e inmunoloxía</dc:publisher>
<dc:publisher>Xenética de Poboacións e Citoxenética</dc:publisher>
</qdc:qualifieddc>
<?xml version="1.0" encoding="UTF-8" ?>
<rdf:RDF schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
<ow:Publication about="oai:www.investigo.biblioteca.uvigo.es:11093/5253">
<dc:title>1LocusSim a mobile-friendly simulator for teaching population genetics</dc:title>
<dc:creator>Carvajal Rodríguez, Antonio</dc:creator>
<dc:description>MOTIVATION: Biology students often struggle with the fundamental concepts of evolutionary genetics, including genetic drift, mutation and selection. To address this problem, 1LocusSim was developed to simulate the interaction of different factors, such as population size, mutation, selection and dominance, to study their effect on allelic frequency during evolution. With 1LocusSim, students can compare theoretical results with simulation outputs and solve and analyze different problems of population genetics. The 1LocusSim web has a responsive design which means that it has been specifically designed to be used on smartphones. RESULTS: To demonstrate its use, I review the classical overdominance model of population genetics and highlight a characteristic that is often not explicitly stated. Specifically, it is emphasized that the equilibrium of the model does not depend on the homozygous selection coefficients but rather on the ratio of the selection coefficients. This is already clear from the classical formula but maybe not so much for students. Also it implies that the equilibrium can be expressed solely in terms of the dominance coefficient h. To verify this theoretical prediction, I utilize the simulator and calculate the equilibrium for the well-known case of sickle cell anemia. By utilizing this tool, students can learn at their own pace and convenience, anywhere and anytime. AVAILABILITY IMPLEMENTATION: 1LocusSim if freely available at https://1LocusSim-biosdev.pythonanywhere.com/. Website implemented under the Bottle micro web-framework for Python, with all major browsers supported. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online.</dc:description>
<dc:date>2023-10-13T12:06:03Z</dc:date>
<dc:date>2023-10-13T12:06:03Z</dc:date>
<dc:date>2023-07-05</dc:date>
<dc:date>2023-10-13T10:45:37Z</dc:date>
<dc:type>article</dc:type>
<dc:identifier>Bioinformatics Advances, 3(1): vbad087 (2023)</dc:identifier>
<dc:identifier>26350041</dc:identifier>
<dc:identifier>http://hdl.handle.net/11093/5253</dc:identifier>
<dc:identifier>10.1093/bioadv/vbad087</dc:identifier>
<dc:identifier>https://academic.oup.com/bioinformaticsadvances/article/doi/10.1093/bioadv/vbad087/7219713</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights>https://creativecommons.org/licenses/by/4.0/deed.es</dc:rights>
<dc:rights>openAccess</dc:rights>
<dc:rights>Atribución 4.0 Internacional</dc:rights>
<dc:publisher>Bioinformatics Advances</dc:publisher>
<dc:publisher>Bioquímica, xenética e inmunoloxía</dc:publisher>
<dc:publisher>Xenética de Poboacións e Citoxenética</dc:publisher>
</ow:Publication>
</rdf:RDF>
<?xml version="1.0" encoding="UTF-8" ?>
<oai_dc:dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dcterms:dateAccepted>2023-10-13T12:06:03Z</dcterms:dateAccepted>
<dcterms:available>2023-10-13T12:06:03Z</dcterms:available>
<dcterms:issued>2023-07-05</dcterms:issued>
<dcterms:identifier_bibliographicCitation lang="spa">Bioinformatics Advances, 3(1): vbad087 (2023)</dcterms:identifier_bibliographicCitation>
<dcterms:identifier_issn>26350041</dcterms:identifier_issn>
<dcterms:identifier_doi>10.1093/bioadv/vbad087</dcterms:identifier_doi>
<dcterms:identifier type="dcterms:URI">http://hdl.handle.net/11093/5253</dcterms:identifier>
<dcterms:identifier_editor lang="spa">https://academic.oup.com/bioinformaticsadvances/article/doi/10.1093/bioadv/vbad087/7219713</dcterms:identifier_editor>
<dcterms:abstract lang="spa">MOTIVATION: Biology students often struggle with the fundamental concepts of evolutionary genetics, including genetic drift, mutation and selection. To address this problem, 1LocusSim was developed to simulate the interaction of different factors, such as population size, mutation, selection and dominance, to study their effect on allelic frequency during evolution. With 1LocusSim, students can compare theoretical results with simulation outputs and solve and analyze different problems of population genetics. The 1LocusSim web has a responsive design which means that it has been specifically designed to be used on smartphones. RESULTS: To demonstrate its use, I review the classical overdominance model of population genetics and highlight a characteristic that is often not explicitly stated. Specifically, it is emphasized that the equilibrium of the model does not depend on the homozygous selection coefficients but rather on the ratio of the selection coefficients. This is already clear from the classical formula but maybe not so much for students. Also it implies that the equilibrium can be expressed solely in terms of the dominance coefficient h. To verify this theoretical prediction, I utilize the simulator and calculate the equilibrium for the well-known case of sickle cell anemia. By utilizing this tool, students can learn at their own pace and convenience, anywhere and anytime. AVAILABILITY IMPLEMENTATION: 1LocusSim if freely available at https://1LocusSim-biosdev.pythonanywhere.com/. Website implemented under the Bottle micro web-framework for Python, with all major browsers supported. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Advances online.</dcterms:abstract>
<dcterms:description_sponsorship lang="spa">Xunta de Galicia | Ref. ED431C 2020/05</dcterms:description_sponsorship>
<dcterms:description_sponsorship lang="spa">Universidade de Vigo/CISUG</dcterms:description_sponsorship>
<dcterms:language type="dcterms:ISO639-2" lang="spa">eng</dcterms:language>
<dcterms:publisher lang="spa">Bioinformatics Advances</dcterms:publisher>
<dcterms:rights>Atribución 4.0 Internacional</dcterms:rights>
<dcterms:accessRights lang="spa">openAccess</dcterms:accessRights>
<dcterms:rights_uri type="dcterms:URI">https://creativecommons.org/licenses/by/4.0/deed.es</dcterms:rights_uri>
<dcterms:title>1LocusSim a mobile-friendly simulator for teaching population genetics</dcterms:title>
<dcterms:type lang="spa">article</dcterms:type>
<dcterms:computerCitation lang="spa">pub_title=Bioinformatics Advances|volume=3|journal_number=1|start_pag=vbad087|end_pag=</dcterms:computerCitation>
<dcterms:publisher_department lang="spa">Bioquímica, xenética e inmunoloxía</dcterms:publisher_department>
<dcterms:publisher_group lang="spa">Xenética de Poboacións e Citoxenética</dcterms:publisher_group>
<dcterms:subject>2409.03 Genética de Poblaciones</dcterms:subject>
<dcterms:authorList>3748</dcterms:authorList>
</oai_dc:dc>
Se ha omitido la presentación del registro por ser demasiado largo. Si lo desea, puede descargárselo en el enlace anterior.