بحث عن كتاب # تحميل كتاب Statistics for Biology and Health Warren J Ewens Gregory R Grant Statistical Methods in Bioinformatics PDF

التصنيف : كتب منوعة
الفئة : Biology Books
سنة النشر : 2004
عدد الصفحات : غير محدد
عن الكتاب : 2004م - 1443هـ نبذه عن الكتاب: remote common ancestor. This kind of calculation is very common in bioinformatics. If the sequences were each generated at random, with the four letters a, g, c, and t having equal probabilities of occurring at any position, then the two sequences should tend to agree at about one quarter of the positions. The two sequences above agree at 11 out of 26 positions. How unlikely is this outcome if the sequences were generated at random?We cannot answer this question until we understand some properties of random sequences. It will be shown that under the assumptions of equal probabilities for a, g, c, and t at any site, and independence of all nucleotides involved, that the probability that there will be 11 or more matches in a sequence comparison of length 26 is approximately 0.04. (The concept of independence is discussed more fully in Section 2.2.)Therefore, our observation of 11 matches might give some evidence that something other than chance is at work. We may not however say in practice that this procedure provides strong evidence until we check that sequences arising in practice behave as we have assumed, that is with equal probabilities for a, g, c, and t at any site, and independence of all nucleotides involved .
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## نبذة عن كتاب Statistics for Biology and Health Warren J Ewens Gregory R Grant Statistical Methods in Bioinformatics

### كتاب Statistics for Biology and Health Warren J Ewens Gregory R Grant Statistical Methods in Bioinformatics

2004م - 1443هـ نبذه عن الكتاب: remote common ancestor. This kind of calculation is very common in bioinformatics. If the sequences were each generated at random, with the four letters a, g, c, and t having equal probabilities of occurring at any position, then the two sequences should tend to agree at about one quarter of the positions. The two sequences above agree at 11 out of 26 positions. How unlikely is this outcome if the sequences were generated at random?We cannot answer this question until we understand some properties of random sequences. It will be shown that under the assumptions of equal probabilities for a, g, c, and t at any site, and independence of all nucleotides involved, that the probability that there will be 11 or more matches in a sequence comparison of length 26 is approximately 0.04. (The concept of independence is discussed more fully in Section 2.2.)Therefore, our observation of 11 matches might give some evidence that something other than chance is at work. We may not however say in practice that this procedure provides strong evidence until we check that sequences arising in practice behave as we have assumed, that is with equal probabilities for a, g, c, and t at any site, and independence of all nucleotides involved .

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