Serveur d'exploration MERS

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Evaluating a linear k-mer model for protein-DNA interactions using high-throughput SELEX data

Identifieur interne : 001F97 ( Main/Exploration ); précédent : 001F96; suivant : 001F98

Evaluating a linear k-mer model for protein-DNA interactions using high-throughput SELEX data

Auteurs : Juhani K H R [Finlande] ; Harri L Hdesm Ki [Finlande]

Source :

RBID : PMC:3750486

Descripteurs français

English descriptors

Abstract

Transcription factor (TF) binding to DNA can be modeled in a number of different ways. It is highly debated which modeling methods are the best, how the models should be built and what can they be applied to. In this study a linear k-mer model proposed for predicting TF specificity in protein binding microarrays (PBM) is applied to a high-throughput SELEX data and the question of how to choose the most informative k-mers to the binding model is studied. We implemented the standard cross-validation scheme to reduce the number of k-mers in the model and observed that the number of k-mers can often be reduced significantly without a great negative effect on prediction accuracy. We also found that the later SELEX enrichment cycles provide a much better discrimination between bound and unbound sequences as model prediction accuracies increased for all proteins together with the cycle number. We compared prediction performance of k-mer and position specific weight matrix (PWM) models derived from the same SELEX data. Consistent with previous results on PBM data, performance of the k-mer model was on average 9%-units better. For the 15 proteins in the SELEX data set with medium enrichment cycles, classification accuracies were on average 71% and 62% for k-mer and PWMs, respectively. Finally, the k-mer model trained with SELEX data was evaluated on ChIP-seq data demonstrating substantial improvements for some proteins. For protein GATA1 the model can distinquish between true ChIP-seq peaks and negative peaks. For proteins RFX3 and NFATC1 the performance of the model was no better than chance.


Url:
DOI: 10.1186/1471-2105-14-S10-S2
PubMed: 24267147
PubMed Central: 3750486


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Evaluating a linear
<bold>
<italic>k</italic>
</bold>
-mer model for protein-DNA interactions using high-throughput SELEX data</title>
<author>
<name sortKey="K H R, Juhani" sort="K H R, Juhani" uniqKey="K H R J" first="Juhani" last="K H R">Juhani K H R</name>
<affiliation wicri:level="1">
<nlm:aff id="I1">Department of Information and Computer Science, Aalto University School of Science, FI-00076 Aalto, Finland</nlm:aff>
<country xml:lang="fr">Finlande</country>
<wicri:regionArea>Department of Information and Computer Science, Aalto University School of Science, FI-00076 Aalto</wicri:regionArea>
<wicri:noRegion>FI-00076 Aalto</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="L Hdesm Ki, Harri" sort="L Hdesm Ki, Harri" uniqKey="L Hdesm Ki H" first="Harri" last="L Hdesm Ki">Harri L Hdesm Ki</name>
<affiliation wicri:level="1">
<nlm:aff id="I1">Department of Information and Computer Science, Aalto University School of Science, FI-00076 Aalto, Finland</nlm:aff>
<country xml:lang="fr">Finlande</country>
<wicri:regionArea>Department of Information and Computer Science, Aalto University School of Science, FI-00076 Aalto</wicri:regionArea>
<wicri:noRegion>FI-00076 Aalto</wicri:noRegion>
</affiliation>
<affiliation wicri:level="3">
<nlm:aff id="I2">Turku Centre for Biotechnology, Turku University, Turku, Finland</nlm:aff>
<country xml:lang="fr">Finlande</country>
<wicri:regionArea>Turku Centre for Biotechnology, Turku University, Turku</wicri:regionArea>
<placeName>
<settlement type="city">Turku</settlement>
<region type="région" nuts="2">Finlande occidentale</region>
</placeName>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">24267147</idno>
<idno type="pmc">3750486</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3750486</idno>
<idno type="RBID">PMC:3750486</idno>
<idno type="doi">10.1186/1471-2105-14-S10-S2</idno>
<date when="2013">2013</date>
<idno type="wicri:Area/Pmc/Corpus">000948</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000948</idno>
<idno type="wicri:Area/Pmc/Curation">000948</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000948</idno>
<idno type="wicri:Area/Pmc/Checkpoint">001230</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">001230</idno>
<idno type="wicri:source">PubMed</idno>
<idno type="RBID">pubmed:24267147</idno>
<idno type="wicri:Area/PubMed/Corpus">001B22</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">001B22</idno>
<idno type="wicri:Area/PubMed/Curation">001B22</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">001B22</idno>
<idno type="wicri:Area/PubMed/Checkpoint">001B50</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">001B50</idno>
<idno type="wicri:Area/Ncbi/Merge">000C13</idno>
<idno type="wicri:Area/Ncbi/Curation">000C13</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">000C13</idno>
<idno type="wicri:Area/Main/Merge">002018</idno>
<idno type="wicri:Area/Main/Curation">001F97</idno>
<idno type="wicri:Area/Main/Exploration">001F97</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">Evaluating a linear
<bold>
<italic>k</italic>
</bold>
-mer model for protein-DNA interactions using high-throughput SELEX data</title>
<author>
<name sortKey="K H R, Juhani" sort="K H R, Juhani" uniqKey="K H R J" first="Juhani" last="K H R">Juhani K H R</name>
<affiliation wicri:level="1">
<nlm:aff id="I1">Department of Information and Computer Science, Aalto University School of Science, FI-00076 Aalto, Finland</nlm:aff>
<country xml:lang="fr">Finlande</country>
<wicri:regionArea>Department of Information and Computer Science, Aalto University School of Science, FI-00076 Aalto</wicri:regionArea>
<wicri:noRegion>FI-00076 Aalto</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="L Hdesm Ki, Harri" sort="L Hdesm Ki, Harri" uniqKey="L Hdesm Ki H" first="Harri" last="L Hdesm Ki">Harri L Hdesm Ki</name>
<affiliation wicri:level="1">
<nlm:aff id="I1">Department of Information and Computer Science, Aalto University School of Science, FI-00076 Aalto, Finland</nlm:aff>
<country xml:lang="fr">Finlande</country>
<wicri:regionArea>Department of Information and Computer Science, Aalto University School of Science, FI-00076 Aalto</wicri:regionArea>
<wicri:noRegion>FI-00076 Aalto</wicri:noRegion>
</affiliation>
<affiliation wicri:level="3">
<nlm:aff id="I2">Turku Centre for Biotechnology, Turku University, Turku, Finland</nlm:aff>
<country xml:lang="fr">Finlande</country>
<wicri:regionArea>Turku Centre for Biotechnology, Turku University, Turku</wicri:regionArea>
<placeName>
<settlement type="city">Turku</settlement>
<region type="région" nuts="2">Finlande occidentale</region>
</placeName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">BMC Bioinformatics</title>
<idno type="eISSN">1471-2105</idno>
<imprint>
<date when="2013">2013</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Algorithms</term>
<term>DNA (genetics)</term>
<term>DNA (metabolism)</term>
<term>DNA-Binding Proteins (genetics)</term>
<term>DNA-Binding Proteins (metabolism)</term>
<term>GATA1 Transcription Factor (genetics)</term>
<term>GATA1 Transcription Factor (metabolism)</term>
<term>High-Throughput Nucleotide Sequencing</term>
<term>Humans</term>
<term>Linear Models</term>
<term>NFATC Transcription Factors (genetics)</term>
<term>NFATC Transcription Factors (metabolism)</term>
<term>Oligonucleotide Array Sequence Analysis</term>
<term>Protein Binding (genetics)</term>
<term>Protein Interaction Mapping (methods)</term>
<term>Proteins (genetics)</term>
<term>Proteins (metabolism)</term>
<term>Regulatory Factor X Transcription Factors</term>
<term>Transcription Factors (genetics)</term>
<term>Transcription Factors (metabolism)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>ADN (génétique)</term>
<term>ADN (métabolisme)</term>
<term>Algorithmes</term>
<term>Cartographie d'interactions entre protéines ()</term>
<term>Facteur de transcription GATA-1 (génétique)</term>
<term>Facteur de transcription GATA-1 (métabolisme)</term>
<term>Facteurs de transcription (génétique)</term>
<term>Facteurs de transcription (métabolisme)</term>
<term>Facteurs de transcription NFATC (génétique)</term>
<term>Facteurs de transcription NFATC (métabolisme)</term>
<term>Facteurs de transcription des facteurs régulateurs X</term>
<term>Humains</term>
<term>Liaison aux protéines (génétique)</term>
<term>Modèles linéaires</term>
<term>Protéines (génétique)</term>
<term>Protéines (métabolisme)</term>
<term>Protéines de liaison à l'ADN (génétique)</term>
<term>Protéines de liaison à l'ADN (métabolisme)</term>
<term>Séquençage nucléotidique à haut débit</term>
<term>Séquençage par oligonucléotides en batterie</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="genetics" xml:lang="en">
<term>DNA</term>
<term>DNA-Binding Proteins</term>
<term>GATA1 Transcription Factor</term>
<term>NFATC Transcription Factors</term>
<term>Proteins</term>
<term>Transcription Factors</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en">
<term>DNA</term>
<term>DNA-Binding Proteins</term>
<term>GATA1 Transcription Factor</term>
<term>NFATC Transcription Factors</term>
<term>Proteins</term>
<term>Transcription Factors</term>
</keywords>
<keywords scheme="MESH" qualifier="genetics" xml:lang="en">
<term>Protein Binding</term>
</keywords>
<keywords scheme="MESH" qualifier="génétique" xml:lang="fr">
<term>ADN</term>
<term>Facteur de transcription GATA-1</term>
<term>Facteurs de transcription</term>
<term>Facteurs de transcription NFATC</term>
<term>Liaison aux protéines</term>
<term>Protéines</term>
<term>Protéines de liaison à l'ADN</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en">
<term>Protein Interaction Mapping</term>
</keywords>
<keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr">
<term>ADN</term>
<term>Facteur de transcription GATA-1</term>
<term>Facteurs de transcription</term>
<term>Facteurs de transcription NFATC</term>
<term>Protéines</term>
<term>Protéines de liaison à l'ADN</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Algorithms</term>
<term>High-Throughput Nucleotide Sequencing</term>
<term>Humans</term>
<term>Linear Models</term>
<term>Oligonucleotide Array Sequence Analysis</term>
<term>Regulatory Factor X Transcription Factors</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Algorithmes</term>
<term>Cartographie d'interactions entre protéines</term>
<term>Facteurs de transcription des facteurs régulateurs X</term>
<term>Humains</term>
<term>Modèles linéaires</term>
<term>Séquençage nucléotidique à haut débit</term>
<term>Séquençage par oligonucléotides en batterie</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>Transcription factor (TF) binding to DNA can be modeled in a number of different ways. It is highly debated which modeling methods are the best, how the models should be built and what can they be applied to. In this study a linear
<italic>k</italic>
-mer model proposed for predicting TF specificity in protein binding microarrays (PBM) is applied to a high-throughput SELEX data and the question of how to choose the most informative
<italic>k</italic>
-mers to the binding model is studied. We implemented the standard cross-validation scheme to reduce the number of
<italic>k</italic>
-mers in the model and observed that the number of
<italic>k</italic>
-mers can often be reduced significantly without a great negative effect on prediction accuracy. We also found that the later SELEX enrichment cycles provide a much better discrimination between bound and unbound sequences as model prediction accuracies increased for all proteins together with the cycle number. We compared prediction performance of
<italic>k</italic>
-mer and position specific weight matrix (PWM) models derived from the same SELEX data. Consistent with previous results on PBM data, performance of the
<italic>k</italic>
-mer model was on average 9%-units better. For the 15 proteins in the SELEX data set with medium enrichment cycles, classification accuracies were on average 71% and 62% for
<italic>k</italic>
-mer and PWMs, respectively. Finally, the
<italic>k</italic>
-mer model trained with SELEX data was evaluated on ChIP-seq data demonstrating substantial improvements for some proteins. For protein GATA1 the model can distinquish between true ChIP-seq peaks and negative peaks. For proteins RFX3 and NFATC1 the performance of the model was no better than chance.</p>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<biblStruct>
<analytic>
<author>
<name sortKey="Wasserman, W" uniqKey="Wasserman W">W Wasserman</name>
</author>
<author>
<name sortKey="Sandelin, A" uniqKey="Sandelin A">A Sandelin</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Weirauch, M" uniqKey="Weirauch M">M Weirauch</name>
</author>
<author>
<name sortKey="Cote, A" uniqKey="Cote A">A Cote</name>
</author>
<author>
<name sortKey="Norel, R" uniqKey="Norel R">R Norel</name>
</author>
<author>
<name sortKey="Annala, M" uniqKey="Annala M">M Annala</name>
</author>
<author>
<name sortKey="Zhao, Y" uniqKey="Zhao Y">Y Zhao</name>
</author>
<author>
<name sortKey="Riley, T" uniqKey="Riley T">T Riley</name>
</author>
<author>
<name sortKey="Saez Rodriguez, J" uniqKey="Saez Rodriguez J">J Saez-Rodriguez</name>
</author>
<author>
<name sortKey="Cokelaer, T" uniqKey="Cokelaer T">T Cokelaer</name>
</author>
<author>
<name sortKey="Vedenko, A" uniqKey="Vedenko A">A Vedenko</name>
</author>
<author>
<name sortKey="Talukder, S" uniqKey="Talukder S">S Talukder</name>
</author>
<author>
<name sortKey="Bussemaker, H" uniqKey="Bussemaker H">H Bussemaker</name>
</author>
<author>
<name sortKey="Morris, Q" uniqKey="Morris Q">Q Morris</name>
</author>
<author>
<name sortKey="Bulyk, M" uniqKey="Bulyk M">M Bulyk</name>
</author>
<author>
<name sortKey="Stolovitzky, G" uniqKey="Stolovitzky G">G Stolovitzky</name>
</author>
<author>
<name sortKey="Hughes, T" uniqKey="Hughes T">T Hughes</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Staden, R" uniqKey="Staden R">R Staden</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Stormo, G" uniqKey="Stormo G">G Stormo</name>
</author>
<author>
<name sortKey="Schneider, T" uniqKey="Schneider T">T Schneider</name>
</author>
<author>
<name sortKey="Gold, L" uniqKey="Gold L">L Gold</name>
</author>
<author>
<name sortKey="Ehrenfeucht, A" uniqKey="Ehrenfeucht A">A Ehrenfeucht</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Bailey, T" uniqKey="Bailey T">T Bailey</name>
</author>
<author>
<name sortKey="Elkan, C" uniqKey="Elkan C">C Elkan</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lawrence, C" uniqKey="Lawrence C">C Lawrence</name>
</author>
<author>
<name sortKey="Altschul, S" uniqKey="Altschul S">S Altschul</name>
</author>
<author>
<name sortKey="Boguski, M" uniqKey="Boguski M">M Boguski</name>
</author>
<author>
<name sortKey="Liu, J" uniqKey="Liu J">J Liu</name>
</author>
<author>
<name sortKey="Neuwald, A" uniqKey="Neuwald A">A Neuwald</name>
</author>
<author>
<name sortKey="Wootton, J" uniqKey="Wootton J">J Wootton</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wingender, E" uniqKey="Wingender E">E Wingender</name>
</author>
<author>
<name sortKey="Chen, X" uniqKey="Chen X">X Chen</name>
</author>
<author>
<name sortKey="Hehl, R" uniqKey="Hehl R">R Hehl</name>
</author>
<author>
<name sortKey="Karas, H" uniqKey="Karas H">H Karas</name>
</author>
<author>
<name sortKey="Liebich, I" uniqKey="Liebich I">I Liebich</name>
</author>
<author>
<name sortKey="Matys, V" uniqKey="Matys V">V Matys</name>
</author>
<author>
<name sortKey="Meinhardt, T" uniqKey="Meinhardt T">T Meinhardt</name>
</author>
<author>
<name sortKey="Pruss, M" uniqKey="Pruss M">M Prüss</name>
</author>
<author>
<name sortKey="Reuter, I" uniqKey="Reuter I">I Reuter</name>
</author>
<author>
<name sortKey="Schacherer, F" uniqKey="Schacherer F">F Schacherer</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Sandelin, A" uniqKey="Sandelin A">A Sandelin</name>
</author>
<author>
<name sortKey="Alkema, W" uniqKey="Alkema W">W Alkema</name>
</author>
<author>
<name sortKey="Engstrom, P" uniqKey="Engstrom P">P Engström</name>
</author>
<author>
<name sortKey="Wasserman, W" uniqKey="Wasserman W">W Wasserman</name>
</author>
<author>
<name sortKey="Lenhard, B" uniqKey="Lenhard B">B Lenhard</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Annala, M" uniqKey="Annala M">M Annala</name>
</author>
<author>
<name sortKey="Laurila, K" uniqKey="Laurila K">K Laurila</name>
</author>
<author>
<name sortKey="L Hdesm Ki, H" uniqKey="L Hdesm Ki H">H Lähdesmäki</name>
</author>
<author>
<name sortKey="Nykter, M" uniqKey="Nykter M">M Nykter</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Jolma, A" uniqKey="Jolma A">A Jolma</name>
</author>
<author>
<name sortKey="Kivioja, T" uniqKey="Kivioja T">T Kivioja</name>
</author>
<author>
<name sortKey="Toivonen, J" uniqKey="Toivonen J">J Toivonen</name>
</author>
<author>
<name sortKey="Cheng, L" uniqKey="Cheng L">L Cheng</name>
</author>
<author>
<name sortKey="Wei, G" uniqKey="Wei G">G Wei</name>
</author>
<author>
<name sortKey="Enge, M" uniqKey="Enge M">M Enge</name>
</author>
<author>
<name sortKey="Taipale, M" uniqKey="Taipale M">M Taipale</name>
</author>
<author>
<name sortKey="Vaquerizas, J" uniqKey="Vaquerizas J">J Vaquerizas</name>
</author>
<author>
<name sortKey="Yan, J" uniqKey="Yan J">J Yan</name>
</author>
<author>
<name sortKey="Sillanp, M" uniqKey="Sillanp M">M Sillanpää</name>
</author>
<author>
<name sortKey="Bonke, M" uniqKey="Bonke M">M Bonke</name>
</author>
<author>
<name sortKey="Palin, K" uniqKey="Palin K">K Palin</name>
</author>
<author>
<name sortKey="Talukder, S" uniqKey="Talukder S">S Talukder</name>
</author>
<author>
<name sortKey="Hughes, T" uniqKey="Hughes T">T Hughes</name>
</author>
<author>
<name sortKey="Luscombe, N" uniqKey="Luscombe N">N Luscombe</name>
</author>
<author>
<name sortKey="Ukkonen, E" uniqKey="Ukkonen E">E Ukkonen</name>
</author>
<author>
<name sortKey="Taipale, J" uniqKey="Taipale J">J Taipale</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ambroise, C" uniqKey="Ambroise C">C Ambroise</name>
</author>
<author>
<name sortKey="Mclachlan, G" uniqKey="Mclachlan G">G McLachlan</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gengsheng, Q" uniqKey="Gengsheng Q">Q Gengsheng</name>
</author>
<author>
<name sortKey="Hotilovac, L" uniqKey="Hotilovac L">L Hotilovac</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<affiliations>
<list>
<country>
<li>Finlande</li>
</country>
<region>
<li>Finlande occidentale</li>
</region>
<settlement>
<li>Turku</li>
</settlement>
</list>
<tree>
<country name="Finlande">
<noRegion>
<name sortKey="K H R, Juhani" sort="K H R, Juhani" uniqKey="K H R J" first="Juhani" last="K H R">Juhani K H R</name>
</noRegion>
<name sortKey="L Hdesm Ki, Harri" sort="L Hdesm Ki, Harri" uniqKey="L Hdesm Ki H" first="Harri" last="L Hdesm Ki">Harri L Hdesm Ki</name>
<name sortKey="L Hdesm Ki, Harri" sort="L Hdesm Ki, Harri" uniqKey="L Hdesm Ki H" first="Harri" last="L Hdesm Ki">Harri L Hdesm Ki</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/MersV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001F97 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001F97 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    MersV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     PMC:3750486
   |texte=   Evaluating a linear k-mer model for protein-DNA interactions using high-throughput SELEX data
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:24267147" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a MersV1 

Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Mon Apr 20 23:26:43 2020. Site generation: Sat Mar 27 09:06:09 2021