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Sequence Analysis
Sequence Analysis

... Here we consider the access and analysis of data and information items rather than their generation, storage or annotation ...
Document
Document

Finding Patterns in Protein Sequence and Structure
Finding Patterns in Protein Sequence and Structure

... sequence, how can we determine the counts? – key insight: estimate the counts by considering every path weighted by its probability ...
expositions
expositions

Sequence editing and analysis PDF
Sequence editing and analysis PDF

FAST Lab Group Meeting 4/11/06
FAST Lab Group Meeting 4/11/06

... Non-negative Matrix Factorization • NMF maintains the interpretability of components of data like images or text or spectra (SDSS) • However as a low-D display it is not faithful in general to the original distances • Isometric NMF [Vasiloglou, Gray, Anderson, to be submitted SIAM DM 2008] preserves ...
File
File

yanting-talk
yanting-talk

... capture the constant row model • The scores for the range support patterns in RAP3 and RAP5 are almost all zero, with very few outliers. On the other hand, CC1 patterns have a much wider variability of these scores. ...
Background concepts for sequence analysis Ana, homo
Background concepts for sequence analysis Ana, homo

Quiz 4 1 Recurrence Relation Approach
Quiz 4 1 Recurrence Relation Approach

... Induction Step: Suppose an < an+1 . Then, this implies 2an < 2an+1 , since multiplication by 2 and square roots preserve inequality (the functions are increasing on x > 0). Substituting equivalent terms from the recurrence relation, we find an+1 < an+2 . By induction, the sequence is monotone increa ...
Aircraft Landing Problem
Aircraft Landing Problem

... Although the formulations given above for both the single- and multiplerunway cases are sufficient to describe the problems, we intend solving them numerically through the use of LP-based tree search. Relaxing the zero-one variables ...
ppt
ppt

Instructions fro BLAST Alignment of sequences
Instructions fro BLAST Alignment of sequences

... DNA strand is broken, the BRCA1 protein works with other proteins to help repair the break. If these breaks are not repaired, the DNA damage can ultimately lead to cancer. Therefore, BRCA1 is known as a tumor suppressor, because it helps prevent the formation of tumors (which can arise when DNA erro ...
Making a Phylogenetic Tree
Making a Phylogenetic Tree

... Swedish ...
File formats for NGS data - Bioinformatics Training Materials
File formats for NGS data - Bioinformatics Training Materials

... SAM header contains information on alignment and contigs used @HD - Version number and sorting information @SQ - Contig/Chromosome name and length of sequence ...
Similarity Searches on Sequence Databases: BLAST
Similarity Searches on Sequence Databases: BLAST

... • However this assumption doesn’t hold all the time, some sequences have biased compositions, e.g. many proteins contain patches known as low-complexity regions: such as segments that contain many prolines or glutamic acid residues. • If BLAST aligns two proline-rich domains, this alignment gets a v ...
statgen9
statgen9

... to express variation at a position in a gene during evolution to express ability of an enzyme to tolerate more than one base at a given position of a recognition site ...
Lecture4 - Department of Computer Science
Lecture4 - Department of Computer Science

... Which Similarity Matrix to Use? • Database searches or sequence alignments perform much better if the similarity matrix is based on replacement patterns that correspond to the degree of divergence of the sequences being aligned or discovered. • In database searching, a PAM or Blosum matrix correspon ...
Bioinformatics - University of Colorado Denver
Bioinformatics - University of Colorado Denver

... meaning that it contains what NCBI determines is the strongest sequence data for each gene. Finally, we will be learning to use ClustalW, which is a multiple sequence alignment program. It allows you to enter a series of gene or protein sequences that you believe are similar and may be evolutionaril ...
PPT1
PPT1

... • Align all sequences (using multiple sequence alignment). • Compute the frequency of each nucleotide in each position (PSPM). • Incorporate background frequency for each nucleotide (PSSM). ...
Duplication
Duplication

Comparison of DNA Sequences with Protein Sequences
Comparison of DNA Sequences with Protein Sequences

... they can be more easily joined, and (b) to allow small overlaps (10 residues) between joined regions. Step 4 is changed to produce a band-limited DNA–protein local alignment score (Zhang et al., 1997) as outlined above. FASTX and FASTY use a full Smith–Waterman local DNA–protein alignment in linear ...
Zhao, et al., 2012.
Zhao, et al., 2012.

Introduction to Randomized Algorithms.
Introduction to Randomized Algorithms.

... Analysis of Karger’s Min-Cut Algorithm ...
I p - Jad Matta
I p - Jad Matta

< 1 ... 6 7 8 9 10 11 12 13 14 ... 21 >

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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