Pooling Design and Nonadaptive Group Testing: Important by Dingzhu Du, Frank K Hwang
By Dingzhu Du, Frank K Hwang
Pooling designs were typical in a number of elements of DNA sequencing. In organic functions, the well-studied mathematical challenge referred to as team trying out shifts its concentration to nonadaptive algorithms whereas the focal point of conventional workforce trying out is on sequential algorithms. organic functions additionally bring on new types no longer formerly thought of, reminiscent of the error-tolerant version, the advanced version, and the inhibitor version. This e-book is the 1st try to acquire the entire major examine on pooling designs in a single handy position. The assurance contains many genuine organic functions akin to clone library screening, contig sequencing, exon boundary discovering and protein protein interplay detecting and introduces the math at the back of it. Contents: uncomplicated idea on setting apart Matrices; Deterministic Designs; Deterministic Designs from Partial Orders; Random Pooling Designs and Probabilistic research; Pooling Designs on Complexes; Contig Sequencing; The Inhibitor version; Hyperplane Designs; Non-Unique Probe choice.
Read Online or Download Pooling Design and Nonadaptive Group Testing: Important Tools for DNA Sequencing (Series on Applied Mathematics) (Series on Applied Mathematics) PDF
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Additional info for Pooling Design and Nonadaptive Group Testing: Important Tools for DNA Sequencing (Series on Applied Mathematics) (Series on Applied Mathematics)
T} is private if it belongs to a unique column. 1 n(d,t,w) of two columns. < ( X + I ) / ( A + I ) where A is the maximum size of intersection Proof. By the definition of A, any (A + l)-subset of a column is private. Since there are L ^ J (A + l)-subsets in total, while a column has U T J (A + l)-subsets, the ratio bounds the number of columns. 2 A column in a d-disjunct matrix with constant column weight w has at most (w — V\ v nonprivate v-subsets for any v > \w/d\. Proof. It suffices to prove for v = \w/d~\.
SIAM J. , 14 (2001) 540-548. F. K. Hwang, On Macula's error-correcting pooling design, to appear in Discrete Mathematics, 268 (2003) 311-314. F. K. Hwang and V. T. Sos, Non-adaptive hypergeometric group testing, Studia Scient. Math. Hungarica, 22 (1987) 257-263. S. M. Johnson, A new upper bound for error correcting codes, IEEE Inform. , 8 (1962) 203-207. Trans. References 53  W. H. Kautz and R. R. Singleton, Nonrandom binary superimposed codes, IEEE Trans. Inform. , 10 (1964) 363-377.  M.
11, we have ns < k. , all items not appearing in any negative pool are positive. , all items not in negative pools constitute the set of positive items. 4 d-disjunct implies d-separable (hence d-separable). Saha and Sinha  showed that d-disjunctness requires at least one more test than d-separability. 5 Deleting any row Ri from a d-disjunct matrix M yields a d-separable matrix Mi. Proof. Let s, s' € S(d, n). Let U(s) denote the set of positive pools under the sample s. Then U(s) and U(s') must differ in at least 2 rows or one would contain the other.