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3 -2 -1 -2 -1 1 2 K
3 -2 -1 -2 -1 1 2 K

... From raw scores to bit scores • There are two kinds of scores: raw scores (calculated from a substitution matrix) and bit scores (normalized scores) • Bit scores are comparable between different searches because they are normalized to account for the use of different scoring matrices and different ...
Gentile, Margaret: Computational Methods for the Design of PCR Primers for the Amplification of functional Markers from Environmental Samples
Gentile, Margaret: Computational Methods for the Design of PCR Primers for the Amplification of functional Markers from Environmental Samples

... Computational methods of CODEHOP The computational methods used in CODEHOP, along with the novel consensusdegenerate regions, are very rigorous and allow for amplification of much more diversity. The method was outlined in Nucleic Acids Research (Rose et al., 1998). CODEHOP works with amino acid seq ...
The NF1 Locus Encodes a Protein Functionally
The NF1 Locus Encodes a Protein Functionally

Diverse Subgroup Set Discovery using a Novel Genetic Algorithm
Diverse Subgroup Set Discovery using a Novel Genetic Algorithm

Paper ~ Which Algorithm Should I Choose At Any Point of the
Paper ~ Which Algorithm Should I Choose At Any Point of the

Dynamic Programming
Dynamic Programming

Genetic Inversion: Relationships Among Species
Genetic Inversion: Relationships Among Species

... different pairs of sequences need to transform one sequence of the pair into the other sequence of the pair. ...
The Efficient Outcome Set of a Bi-criteria Linear Programming and
The Efficient Outcome Set of a Bi-criteria Linear Programming and

A helicoidal transfer matrix model for inhomogeneous DNA melting
A helicoidal transfer matrix model for inhomogeneous DNA melting

Slide 1
Slide 1

... Defining a genomic radius for long-range enhancer action: duplicated conserved non-coding elements hold the key. Trends Genet. 2006, 22(1):5-10. ...
Milestone3
Milestone3

A method for fast database search for all k-nucleotide repeats
A method for fast database search for all k-nucleotide repeats

Indexing and Searching Video Sequences Using Concept Lattices
Indexing and Searching Video Sequences Using Concept Lattices

... extent of Q and its subsumers in the concept lattice (indicated by numbered rectangles other than the top concept in Figure 2) since the intent of each one of these concepts is a subset of QB (the intent of the query concept). In the following, we will denote by Rvideos the set of relevant video seq ...
Contig annotation tool CAT robustly classifies assembled
Contig annotation tool CAT robustly classifies assembled

... Third, the individual taxonomic classifications are integrated across all ORFs to derive a robust classification of the full DNA sequence. To do this, the B values of all ORFs assigned to the same taxon are summed for each taxon (ΣBtaxon), where the taxonomic annotations of T and all of its parents ...
Answers Exercises week 2
Answers Exercises week 2

Computing Pythagorean Triples in FPGA - HPC-UA
Computing Pythagorean Triples in FPGA - HPC-UA

Outcomes Children will recoginse that devices and on screen
Outcomes Children will recoginse that devices and on screen

Wavelength management in WDM rings to maximize the
Wavelength management in WDM rings to maximize the

Paper - George Karypis
Paper - George Karypis

... We rst derive an expression for the runtime of the parallel dense trapezoidal forward elimination algorithm. We present a conservative analysis assuming a naive implementation of the algorithm. We consider the case where the processors compute the blocks in a column major order. Same results hold t ...
Spider Silk - Consortium for Mathematics and its Applications
Spider Silk - Consortium for Mathematics and its Applications

Compressed q-gram Indexing for Highly Repetitive Biological
Compressed q-gram Indexing for Highly Repetitive Biological

Lecture 4
Lecture 4

... Proteins are flexible. One would like to align proteins modulo the flexibility. Hinge and shear protein domain motions (Gerstein, Lesk , Chotia). Conformational flexibility in drugs. ...
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XLibraryDisplay User Manual Ryan Stafford

A Framework for Mining Sequential Patterns from Spatio
A Framework for Mining Sequential Patterns from Spatio

... – STS-Miner: A depth-first expand based mining method exploiting the weak antimonotone property of Sequence index. – Slicing-STS-Miner: Utilizes temporal slicing to partition the dataset into overlapping slices when the number of events is too large to be processed in memory. ...
An Algorithm for Solving Scaled Total Least Squares Problems
An Algorithm for Solving Scaled Total Least Squares Problems

... total least squares problems using the rank revealing ULV decomposition, which is an approximation of the complete orthogonal decomposition. To improve accuracy, in addition to the refinement, we proposed a technique for improving the accuracy of the estimates for the smallest nonzero singular value ...
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Smith–Waterman algorithm

The Smith–Waterman algorithm performs local sequence alignment; that is, for determining similar regions between two strings or nucleotide or protein sequences. Instead of looking at the total sequence, the Smith–Waterman algorithm compares segments of all possible lengths and optimizes the similarity measure.The algorithm was first proposed by Temple F. Smith and Michael S. Waterman in 1981. Like the Needleman–Wunsch algorithm, of which it is a variation, Smith–Waterman is a dynamic programming algorithm. As such, it has the desirable property that it is guaranteed to find the optimal local alignment with respect to the scoring system being used (which includes the substitution matrix and the gap-scoring scheme). The main difference to the Needleman–Wunsch algorithm is that negative scoring matrix cells are set to zero, which renders the (thus positively scoring) local alignments visible. Backtracking starts at the highest scoring matrix cell and proceeds until a cell with score zero is encountered, yielding the highest scoring local alignment. One does not actually implement the algorithm as described because improved alternatives are now available that have better scaling (Gotoh, 1982) and are more accurate (Altschul and Erickson, 1986).
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