Ders Notu 16
The determination of the type and number of molecular markers is significant for the results of molecular-genetic research. At this stage, the success of the marker type and number in finding useful polymorphic loci is the most important consideration. The degree of polymorphism should be evaluated by values of polymorphism information content and heterozygosity. Also, marker index, effective multiplex ratio, and resolving ratio are other measures for molecular markers. Various software is available to calculate these parameters. However, much of this software was designed in a very complex structure and required an internet connection. In addition, this software takes up a large amount of memory due to its complex processing patterns. This makes it impossible to use on some tablets or mobile phones. The other challenge is that researchers with years of training in agriculture or biotechnology find it difficult to learn to use this software. In this study, a calculation tool: the DEMoMa, based on Microsoft Excel software, which does not require an internet connection and is designed quite simply, is introduced. This tool processes numerical data obtained from molecular markers and displays the activity levels of the molecular markers used.
Ders kitabının ve derste anlatılan konuların kısa bir özetidir. Sınav, ders kitabı ve derste anlatılanlara istinaden uygulanacaktır. Sınavda, sadece basit fonksiyonları olan hesap makinesine izin verilecektir. Bunun dışında, cep telefonu, tablet, cep bilgisayarı; alfabetik tuş takımı (A, B, C, …) ve program yapılmasına, saklanmasına, çalıştırılmasına imkân veren EXE, STORE, RUN vb. tuşlar bulunan hesap makinelerine izin verilmeyecektir.
Duyuru 1
The determination of the type and number of molecular markers is significant for the results of molecular-genetic research. At this stage, the success of the marker type and number in finding useful polymorphic loci is the most important consideration. The degree of polymorphism should be evaluated by values of polymorphism information content and heterozygosity. Also, marker index, effective multiplex ratio, and resolving ratio are other measures for molecular markers. Various software is available to calculate these parameters. However, much of this software was designed in a very complex structure and required an internet connection. In addition, this software takes up a large amount of memory due to its complex processing patterns. This makes it impossible to use on some tablets or mobile phones. The other challenge is that researchers with years of training in agriculture or biotechnology find it difficult to learn to use this software. In this study, a calculation tool: the DEMoMa, based on Microsoft Excel software, which does not require an internet connection and is designed quite simply, is introduced. This tool processes numerical data obtained from molecular markers and displays the activity levels of the molecular markers used.
Diğer 1
The determination of the type and number of molecular markers is significant for the results of molecular-genetic research. At this stage, the success of the marker type and number in finding useful polymorphic loci is the most important consideration. The degree of polymorphism should be evaluated by values of polymorphism information content and heterozygosity. Also, marker index, effective multiplex ratio, and resolving ratio are other measures for molecular markers. Various software is available to calculate these parameters. However, much of this software was designed in a very complex structure and required an internet connection. In addition, this software takes up a large amount of memory due to its complex processing patterns. This makes it impossible to use on some tablets or mobile phones. The other challenge is that researchers with years of training in agriculture or biotechnology find it difficult to learn to use this software. In this study, a calculation tool: the DEMoMa, based on Microsoft Excel software, which does not require an internet connection and is designed quite simply, is introduced. This tool processes numerical data obtained from molecular markers and displays the activity levels of the molecular markers used.
