Bioinformatics; The comparison of softwares based on genetics data analysis
| dc.contributor.author | Ertaş, Tahsin | |
| dc.contributor.author | Güven, Celal | |
| dc.contributor.author | Öztürk, Onur | |
| dc.date.accessioned | 2024-08-04T19:53:16Z | |
| dc.date.available | 2024-08-04T19:53:16Z | |
| dc.date.issued | 2018 | |
| dc.department | İnönü Üniversitesi | en_US |
| dc.description.abstract | The comparative analysis with relational statistics programs Arlequin 3.5 and Power Marker 3.25 is performed, using the published polymorphic loci on the ?-globin gene to investigate possible associations of these loci with the Hb D-Los Angeles mutation. It is envisaged that the results obtained by the processing of genetic data by different software will provide source data in terms of reliability of the analysis of the genetic data, compatibility of the programs, discrepancies, if any, and reasons for these differences and the researchers guide the program selection and benchmarking for the study purposes. Under this point of view; the main purpose of this study is to compare the possible differences or common results of analysis of gene data on beta globin gene family and beta globin gene in Hb D-Los Angeles [?121 (GH4) Glu?Gln] model with two statistical software. Arlequin and Power Marker software calculated the haplotype frequencies associated with the Hb D-Los Angeles mutation in both populations with equal frequency values. Considering the molecular diversity and mismatch distribution parameters, Arlequin software can provide important advantages in determining the historical development processes of populations. For each locus, parameters such as allele frequency calculations, allele pair frequency calculations, haplotype tendency regression, and difference test for both populations are presented as specific tests of Power Marker software. Findings from two different bioinformatics analyze and software advantages and disadvantages compared to each other are present. | en_US |
| dc.identifier.doi | 10.5455/medscience.2018.07.8903 | |
| dc.identifier.endpage | 856 | en_US |
| dc.identifier.issn | 2147-0634 | |
| dc.identifier.issue | 4 | en_US |
| dc.identifier.startpage | 852 | en_US |
| dc.identifier.trdizinid | 307872 | en_US |
| dc.identifier.uri | https://doi.org/10.5455/medscience.2018.07.8903 | |
| dc.identifier.uri | https://search.trdizin.gov.tr/yayin/detay/307872 | |
| dc.identifier.uri | https://hdl.handle.net/11616/89640 | |
| dc.identifier.volume | 7 | en_US |
| dc.indekslendigikaynak | TR-Dizin | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | Medicine Science | en_US |
| dc.relation.publicationcategory | Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.title | Bioinformatics; The comparison of softwares based on genetics data analysis | en_US |
| dc.type | Article | en_US |
