Schmitt, Armin

[["dc.bibliographiccitation.firstpage","562"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","International Journal of Molecular Sciences"],["dc.bibliographiccitation.volume","22"],["dc.contributor.affiliation","Rajavel, Abirami; \t\t \r\n\t\t Breeding Informatics Group, Department of Animal Sciences, Georg-August University, Margarethe von Wrangell-Weg 7, 37075 Göttingen, Germany, abirami.rajavel@uni-goettingen.de"],["dc.contributor.affiliation","Schmitt, Armin Otto; \t\t \r\n\t\t Breeding Informatics Group, Department of Animal Sciences, Georg-August University, Margarethe von Wrangell-Weg 7, 37075 Göttingen, Germany, armin.schmitt@uni-goettingen.de\t\t \r\n\t\t Center for Integrated Breeding Research (CiBreed), Albrecht-Thaer-Weg 3, Georg-August University, 37075 Göttingen, Germany, armin.schmitt@uni-goettingen.de"],["dc.contributor.affiliation","Gültas, Mehmet; \t\t \r\n\t\t Breeding Informatics Group, Department of Animal Sciences, Georg-August University, Margarethe von Wrangell-Weg 7, 37075 Göttingen, Germany, gueltas@informatik.uni-goettingen.de\t\t \r\n\t\t Center for Integrated Breeding Research (CiBreed), Albrecht-Thaer-Weg 3, Georg-August University, 37075 Göttingen, Germany, gueltas@informatik.uni-goettingen.de"],["dc.contributor.author","Rajavel, Abirami"],["dc.contributor.author","Schmitt, Armin Otto"],["dc.contributor.author","Gültas, Mehmet"],["dc.date.accessioned","2021-04-14T08:29:43Z"],["dc.date.available","2021-04-14T08:29:43Z"],["dc.date.issued","2021"],["dc.date.updated","2022-09-06T03:41:43Z"],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.3390/ijms22020562"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82969"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","1422-0067"],["dc.relation.orgunit","Tierärztliches Institut"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Computational Identification of Master Regulators Influencing Trypanotolerance in Cattle"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","892"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Genes"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Ramzan, Faisal"],["dc.contributor.author","Gültas, Mehmet"],["dc.contributor.author","Bertram, Hendrik"],["dc.contributor.author","Cavero, David"],["dc.contributor.author","Schmitt, Armin Otto"],["dc.date.accessioned","2021-04-14T08:27:20Z"],["dc.date.available","2021-04-14T08:27:20Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.3390/genes11080892"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17504"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82252"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","MDPI"],["dc.relation.eissn","2073-4425"],["dc.relation.haserratum","/handle/2/83490"],["dc.rights","CC BY 4.0"],["dc.rights.uri","http://creativecommons.org/licenses/by/4.0/"],["dc.title","Combining Random Forests and a Signal Detection Method Leads to the Robust Detection of Genotype-Phenotype Associations"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","464"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Genes"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Ramzan, Faisal"],["dc.contributor.author","Klees, Selina"],["dc.contributor.author","Schmitt, Armin Otto"],["dc.contributor.author","Cavero, David"],["dc.contributor.author","Gültas, Mehmet"],["dc.date.accessioned","2021-04-14T08:26:24Z"],["dc.date.available","2021-04-14T08:26:24Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.3390/genes11040464"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17412"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81929"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","MDPI"],["dc.relation.eissn","2073-4425"],["dc.rights","CC BY 4.0"],["dc.rights.uri","http://creativecommons.org/licenses/by/4.0/"],["dc.title","Identification of Age-Specific and Common Key Regulatory Mechanisms Governing Eggshell Strength in Chicken Using Random Forests"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1199"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Genes"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Ramzan, Faisal"],["dc.contributor.author","Gültas, Mehmet"],["dc.contributor.author","Bertram, Hendrik"],["dc.contributor.author","Cavero, David"],["dc.contributor.author","Schmitt, Armin Otto"],["dc.date.accessioned","2021-04-14T08:31:07Z"],["dc.date.available","2021-04-14T08:31:07Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.3390/genes11101199"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/83490"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.relation.eissn","2073-4425"],["dc.relation.iserratumof","/handle/2/82252"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Correction: Ramzan F. et al. “Combining Random Forests and a Signal Detection Method Leads to the Robust Detection of Genotype-Phenotype Associations” Genes, 2020, 11, 892"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","erratum_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","790"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Biology"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Klees, Selina"],["dc.contributor.author","Heinrich, Felix"],["dc.contributor.author","Schmitt, Armin Otto"],["dc.contributor.author","Gültas, Mehmet"],["dc.date.accessioned","2021-10-01T09:58:22Z"],["dc.date.available","2021-10-01T09:58:22Z"],["dc.date.issued","2021"],["dc.description.abstract","Transcription factors (TFs) govern transcriptional gene regulation by specifically binding to short DNA motifs, known as transcription factor binding sites (TFBSs), in regulatory regions, such as promoters. Today, it is well known that single nucleotide polymorphisms (SNPs) in TFBSs can dramatically affect the level of gene expression, since they can cause a change in the binding affinity of TFs. Such SNPs, referred to as regulatory SNPs (rSNPs), have gained attention in the life sciences due to their causality for specific traits or diseases. In this study, we present agReg-SNPdb, a database comprising rSNP data of seven agricultural and domestic animal species: cattle, pig, chicken, sheep, horse, goat, and dog. To identify the rSNPs, we constructed a bioinformatics pipeline and identified a total of 10,623,512 rSNPs, which are located within TFBSs and affect the binding affinity of putative TFs. Altogether, we implemented the first systematic analysis of SNPs in promoter regions and their impact on the binding affinity of TFs for livestock and made it usable via a web interface."],["dc.description.abstract","Transcription factors (TFs) govern transcriptional gene regulation by specifically binding to short DNA motifs, known as transcription factor binding sites (TFBSs), in regulatory regions, such as promoters. Today, it is well known that single nucleotide polymorphisms (SNPs) in TFBSs can dramatically affect the level of gene expression, since they can cause a change in the binding affinity of TFs. Such SNPs, referred to as regulatory SNPs (rSNPs), have gained attention in the life sciences due to their causality for specific traits or diseases. In this study, we present agReg-SNPdb, a database comprising rSNP data of seven agricultural and domestic animal species: cattle, pig, chicken, sheep, horse, goat, and dog. To identify the rSNPs, we constructed a bioinformatics pipeline and identified a total of 10,623,512 rSNPs, which are located within TFBSs and affect the binding affinity of putative TFs. Altogether, we implemented the first systematic analysis of SNPs in promoter regions and their impact on the binding affinity of TFs for livestock and made it usable via a web interface."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.3390/biology10080790"],["dc.identifier.pii","biology10080790"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/90048"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-469"],["dc.publisher","MDPI"],["dc.relation.eissn","2079-7737"],["dc.rights","https://creativecommons.org/licenses/by/4.0/"],["dc.title","agReg-SNPdb: A Database of Regulatory SNPs for Agricultural Animal Species"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","63"],["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Data"],["dc.bibliographiccitation.lastpage","4"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Heinrich, Felix"],["dc.contributor.author","Gültas, Mehmet"],["dc.contributor.author","Link, Wolfgang"],["dc.contributor.author","Schmitt, Armin Otto"],["dc.date.accessioned","2020-08-19T11:42:02Z"],["dc.date.accessioned","2021-10-27T13:11:36Z"],["dc.date.available","2020-08-19T11:42:02Z"],["dc.date.available","2021-10-27T13:11:36Z"],["dc.date.issued","2020"],["dc.description.abstract","The grain faba bean (Vicia faba) which belongs to the family of the Leguminosae, is a crop that is grown worldwide for consumption by humans and livestock. Despite being a rich source of plant-based protein and various agro-ecological advantages its usage is limited due to its anti-nutrients in the form of the seed-compounds vicine and convicine (V+C). While markers for a low V+C content exist the underlying pathway and the responsible genes have remained unknown for a long time and only recently a possible pathway and enzyme were found. Genetic research into Vicia faba is difficult due to the lack of a reference genome and the near exclusivity of V+C to the species. Here, we present sequence reads obtained through genotyping-by-sequencing of 20 Vicia faba lines with varying V+C contents. For each line, ∼3 million 150 bp paired end reads are available. This data can be useful in the genomic research of Vicia faba in general and its V+C content in particular."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2020"],["dc.identifier.doi","10.3390/data5030063"],["dc.identifier.doi","10.37473/dac/10.3390/data5030063"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17502"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/91609"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.relation.eissn","2306-5729"],["dc.relation.orgunit","Fakultät für Biologie und Psychologie"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject.ddc","570"],["dc.title","Genotyping by Sequencing Reads of 20 Vicia faba Lines with High and Low Vicine and Convicine Content"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","742"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Biology"],["dc.bibliographiccitation.volume","11"],["dc.contributor.affiliation","Rajavel, Abirami; 1Breeding Informatics Group, Department of Animal Sciences, Georg-August University, Margarethe von Wrangell-Weg 7, 37075 Göttingen, Germany; selina.klees@uni-goettingen.de (S.K.); yuehan.hui@stud.uni-goettingen.de (Y.H.); armin.schmitt@uni-goettingen.de (A.O.S.)"],["dc.contributor.affiliation","Klees, Selina; 1Breeding Informatics Group, Department of Animal Sciences, Georg-August University, Margarethe von Wrangell-Weg 7, 37075 Göttingen, Germany; selina.klees@uni-goettingen.de (S.K.); yuehan.hui@stud.uni-goettingen.de (Y.H.); armin.schmitt@uni-goettingen.de (A.O.S.)"],["dc.contributor.affiliation","Hui, Yuehan; 1Breeding Informatics Group, Department of Animal Sciences, Georg-August University, Margarethe von Wrangell-Weg 7, 37075 Göttingen, Germany; selina.klees@uni-goettingen.de (S.K.); yuehan.hui@stud.uni-goettingen.de (Y.H.); armin.schmitt@uni-goettingen.de (A.O.S.)"],["dc.contributor.affiliation","Schmitt, Armin Otto; 1Breeding Informatics Group, Department of Animal Sciences, Georg-August University, Margarethe von Wrangell-Weg 7, 37075 Göttingen, Germany; selina.klees@uni-goettingen.de (S.K.); yuehan.hui@stud.uni-goettingen.de (Y.H.); armin.schmitt@uni-goettingen.de (A.O.S.)"],["dc.contributor.affiliation","Gültas, Mehmet; 2Center for Integrated Breeding Research (CiBreed), Georg-August University, Carl-Sprengel-Weg 1, 37075 Göttingen, Germany"],["dc.contributor.author","Rajavel, Abirami"],["dc.contributor.author","Klees, Selina"],["dc.contributor.author","Hui, Yuehan"],["dc.contributor.author","Schmitt, Armin Otto"],["dc.contributor.author","Gültas, Mehmet"],["dc.date.accessioned","2022-06-01T09:39:55Z"],["dc.date.available","2022-06-01T09:39:55Z"],["dc.date.issued","2022"],["dc.date.updated","2022-06-05T20:12:10Z"],["dc.description.abstract","African Animal Trypanosomiasis (AAT) is a neglected tropical disease and spreads by the vector tsetse fly, which carries the infectious Trypanosoma sp. in their saliva. Particularly, this parasitic disease affects the health of livestock, thereby imposing economic constraints on farmers, costing billions of dollars every year, especially in sub-Saharan African countries. Mainly considering the AAT disease as a multistage progression process, we previously performed upstream analysis to identify transcription factors (TFs), their co-operations, over-represented pathways and master regulators. However, downstream analysis, including effectors, corresponding gene expression profiles and their association with the regulatory SNPs (rSNPs), has not yet been established. Therefore, in this study, we aim to investigate the complex interplay of rSNPs, corresponding gene expression and downstream effectors with regard to the AAT disease progression based on two cattle breeds: trypanosusceptible Boran and trypanotolerant N’Dama. Our findings provide mechanistic insights into the effectors involved in the regulation of several signal transduction pathways, thereby differentiating the molecular mechanism with regard to the immune responses of the cattle breeds. The effectors and their associated genes (especially MAPKAPK5, CSK, DOK2, RAC1 and DNMT1) could be promising drug candidates as they orchestrate various downstream regulatory cascades in both cattle breeds."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2022"],["dc.identifier.doi","10.3390/biology11050742"],["dc.identifier.pii","biology11050742"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108595"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-572"],["dc.relation.eissn","2079-7737"],["dc.rights","CC BY 4.0"],["dc.title","Deciphering the Molecular Mechanism Underlying African Animal Trypanosomiasis by Means of the 1000 Bull Genomes Project Genomic Dataset"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","873"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Genes"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Hosseini, Shahrbanou"],["dc.contributor.author","Schmitt, Armin Otto"],["dc.contributor.author","Tetens, Jens"],["dc.contributor.author","Brenig, Bertram"],["dc.contributor.author","Simianer, Henner"],["dc.contributor.author","Sharifi, Ahmad Reza"],["dc.contributor.author","Gültas, Mehmet"],["dc.date.accessioned","2021-08-12T07:45:56Z"],["dc.date.available","2021-08-12T07:45:56Z"],["dc.date.issued","2021"],["dc.description.abstract","The transcriptional regulation of gene expression in higher organisms is essential for different cellular and biological processes. These processes are controlled by transcription factors and their combinatorial interplay, which are crucial for complex genetic programs and transcriptional machinery. The regulation of sex-biased gene expression plays a major role in phenotypic sexual dimorphism in many species, causing dimorphic gene expression patterns between two different sexes. The role of transcription factor (TF) in gene regulatory mechanisms so far has not been studied for sex determination and sex-associated colour patterning in zebrafish with respect to phenotypic sexual dimorphism. To address this open biological issue, we applied bioinformatics approaches for identifying the predicted TF pairs based on their binding sites for sex and colour genes in zebrafish. In this study, we identified 25 (e.g., STAT6-GATA4; JUN-GATA4; SOX9-JUN) and 14 (e.g., IRF-STAT6; SOX9-JUN; STAT6-GATA4) potentially cooperating TFs based on their binding patterns in promoter regions for sex determination and colour pattern genes in zebrafish, respectively. The comparison between identified TFs for sex and colour genes revealed several predicted TF pairs (e.g., STAT6-GATA4; JUN-SOX9) are common for both phenotypes, which may play a pivotal role in phenotypic sexual dimorphism in zebrafish."],["dc.description.abstract","The transcriptional regulation of gene expression in higher organisms is essential for different cellular and biological processes. These processes are controlled by transcription factors and their combinatorial interplay, which are crucial for complex genetic programs and transcriptional machinery. The regulation of sex-biased gene expression plays a major role in phenotypic sexual dimorphism in many species, causing dimorphic gene expression patterns between two different sexes. The role of transcription factor (TF) in gene regulatory mechanisms so far has not been studied for sex determination and sex-associated colour patterning in zebrafish with respect to phenotypic sexual dimorphism. To address this open biological issue, we applied bioinformatics approaches for identifying the predicted TF pairs based on their binding sites for sex and colour genes in zebrafish. In this study, we identified 25 (e.g., STAT6-GATA4; JUN-GATA4; SOX9-JUN) and 14 (e.g., IRF-STAT6; SOX9-JUN; STAT6-GATA4) potentially cooperating TFs based on their binding patterns in promoter regions for sex determination and colour pattern genes in zebrafish, respectively. The comparison between identified TFs for sex and colour genes revealed several predicted TF pairs (e.g., STAT6-GATA4; JUN-SOX9) are common for both phenotypes, which may play a pivotal role in phenotypic sexual dimorphism in zebrafish."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.3390/genes12060873"],["dc.identifier.pii","genes12060873"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/88580"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-448"],["dc.relation.eissn","2073-4425"],["dc.relation.orgunit","Abteilung Tierzucht und Haustiergenetik"],["dc.rights","CC BY 4.0"],["dc.title","In Silico Prediction of Transcription Factor Collaborations Underlying Phenotypic Sexual Dimorphism in Zebrafish (Danio rerio)"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Frontiers in Genetics"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Mekonnen, Yonatan Ayalew"],["dc.contributor.author","Gültas, Mehmet"],["dc.contributor.author","Effa, Kefena"],["dc.contributor.author","Hanotte, Olivier"],["dc.contributor.author","Schmitt, Armin O."],["dc.date.accessioned","2020-12-10T18:44:23Z"],["dc.date.available","2020-12-10T18:44:23Z"],["dc.date.issued","2019"],["dc.description.abstract","African animal trypanosomiasis (AAT) is caused by a protozoan parasite that affects the health of livestock. Livestock production in Ethiopia is severely hampered by AAT and various controlling measures were not successful to eradicate the disease. AAT affects the indigenous breeds in varying degrees. However, the Sheko breed shows better trypanotolerance than other breeds. The tolerance attributes of Sheko are believed to be associated with its taurine genetic background but the genetic controls of these tolerance attributes of Sheko are not well understood. In order to investigate the level of taurine background in the genome, we compare the genome of Sheko with that of 11 other African breeds. We find that Sheko has an admixed genome composed of taurine and indicine ancestries. We apply three methods: (i) The integrated haplotype score (iHS), (ii) the standardized log ratio of integrated site specific extended haplotype homozygosity between populations (Rsb), and (iii) the composite likelihood ratio (CLR) method to discover selective sweeps in the Sheko genome. We identify 99 genomic regions harboring 364 signature genes in Sheko. Out of the signature genes, 15 genes are selected based on their biological importance described in the literature. We also identify 13 overrepresented pathways and 10 master regulators in Sheko using the TRANSPATH database in the geneXplain platform. Most of the pathways are related with oxidative stress responses indicating a possible selection response against the induction of oxidative stress following trypanosomiasis infection in Sheko. Furthermore, we present for the first time the importance of master regulators involved in trypanotolerance not only for the Sheko breed but also in the context of cattle genomics. Our finding shows that the master regulator Caspase is a key protease which plays a major role for the emergence of adaptive immunity in harmony with the other master regulators. These results suggest that designing and implementing genetic intervention strategies is necessary to improve the performance of susceptible animals. Moreover, the master regulatory analysis suggests potential candidate therapeutic targets for the development of new drugs for trypanosomiasis treatment."],["dc.identifier.doi","10.3389/fgene.2019.01095"],["dc.identifier.eissn","1664-8021"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16692"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78432"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","Frontiers Media S.A."],["dc.relation.eissn","1664-8021"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Identification of Candidate Signature Genes and Key Regulators Associated With Trypanotolerance in the Sheko Breed"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","7512"],["dc.bibliographiccitation.issue","22"],["dc.bibliographiccitation.journal","Sensors"],["dc.bibliographiccitation.volume","21"],["dc.contributor.author","Wutke, Martin"],["dc.contributor.author","Heinrich, Felix"],["dc.contributor.author","Das, Pronaya Prosun"],["dc.contributor.author","Lange, Anita"],["dc.contributor.author","Gentz, Maria"],["dc.contributor.author","Traulsen, Imke"],["dc.contributor.author","Warns, Friederike K."],["dc.contributor.author","Schmitt, Armin Otto"],["dc.contributor.author","Gültas, Mehmet"],["dc.date.accessioned","2022-01-11T14:07:54Z"],["dc.date.available","2022-01-11T14:07:54Z"],["dc.date.issued","2021"],["dc.description.abstract","The identification of social interactions is of fundamental importance for animal behavioral studies, addressing numerous problems like investigating the influence of social hierarchical structures or the drivers of agonistic behavioral disorders. However, the majority of previous studies often rely on manual determination of the number and types of social encounters by direct observation which requires a large amount of personnel and economical efforts. To overcome this limitation and increase research efficiency and, thus, contribute to animal welfare in the long term, we propose in this study a framework for the automated identification of social contacts. In this framework, we apply a convolutional neural network (CNN) to detect the location and orientation of pigs within a video and track their movement trajectories over a period of time using a Kalman filter (KF) algorithm. Based on the tracking information, we automatically identify social contacts in the form of head–head and head–tail contacts. Moreover, by using the individual animal IDs, we construct a network of social contacts as the final output. We evaluated the performance of our framework based on two distinct test sets for pig detection and tracking. Consequently, we achieved a Sensitivity, Precision, and F1-score of 94.2%, 95.4%, and 95.1%, respectively, and a MOTA score of 94.4%. The findings of this study demonstrate the effectiveness of our keypoint-based tracking-by-detection strategy and can be applied to enhance animal monitoring systems."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.doi","10.3390/s21227512"],["dc.identifier.pii","s21227512"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/97888"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-507"],["dc.relation.eissn","1424-8220"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Detecting Animal Contacts—A Deep Learning-Based Pig Detection and Tracking Approach for the Quantification of Social Contacts"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]