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Diapositiva 1 - Universitat de Lleida
Diapositiva 1 - Universitat de Lleida

BCB 444/544
BCB 444/544

Bioinformatics V - Isfahan University of Medical Sciences
Bioinformatics V - Isfahan University of Medical Sciences

Investigation #3
Investigation #3

DNA Sequence Analysis Using Boolean Algebra
DNA Sequence Analysis Using Boolean Algebra

Information Input and Output
Information Input and Output

... • By the end of this session, students will understand how to create computer software. Students will learn : – Algorithm – Program – Analytic & numeric solution. ...
Poster
Poster

... When biologists search for a regulation motif, they find several potential sequences. We then have to find a way to obtain a consensus sequence that averages the potential ones. The first point would be to make a kind of alignment of the potential sequences. Target Explorer1 allows variable lengths ...
Heuris`c)search:)FastA)and)BLAST)
Heuris`c)search:)FastA)and)BLAST)

... 1.  Iden'fy)common)k`words)between)X)and)Y)) 2.  Score)diagonals)with)k`word)matches,)to)iden'fy)the)10)best) diagonals)) 3.  Rescore)ini'al)regions)with)a)subs'tu'on)matrix)) –  Each)of)the)ten)diagonal)runs)with)highest)scores) (iden'fied)in)step)2))are)further)processed) –  Within)each)of)these)di ...
Slide 1
Slide 1

... •Gaps count more close to runs of hydrophobic amino acids (more likely to be in internal conserved regions of a protein) compared to next to hydrophilic regions or G, likely to be on the outside in loops •Weighing scheme: closely related sequences are given a lower weighting score •The weighting sco ...
Basic Phylogenetics and Tree Building
Basic Phylogenetics and Tree Building

... Matrix is based on real data which models the evolutionary process and does not consider physiochemical similarities of proteins. Calculated the probability that any one amino acid would mutate to another over a given period of evolutionary time which is then converted to a score. PAM = Point Accept ...
命題標頭紙 - 慈濟大學醫學資訊學系所
命題標頭紙 - 慈濟大學醫學資訊學系所

... 10. Palindromes are DNA sequences in which the reverse complement is identical to the positive strand, such as GTGCAC. Propose an algorithm to search palindromes in DNA sequences, and estimate the time complexity of your algorithm. (5%) 11. The complete genomes of various organisms are available now ...
Dot plot - TeachLine
Dot plot - TeachLine

Document
Document

word - Mr Idea Hamster
word - Mr Idea Hamster

... c. Alignment searches with minimal word starters d. Examples of minimal word searches e. Choosing a minimal word size 3. Allowing gaps a. Gap penalty concept b. Default penalties c. Choosing you gap penalties C. Comparing amino acid sequences 1. Amino acid similarities and differences 2. Postulated ...
here - ADUG
here - ADUG

... • Sequences made up of amino acids from a growing set • Each amino acid in the database given an entry number • Sequences are made up of at least 4 amino acids and maybe be of any length ...
tutorialdm
tutorialdm

Theory of Algorithms - Baylor University | Texas
Theory of Algorithms - Baylor University | Texas

Comparing DNA sequence alignments
Comparing DNA sequence alignments

... Comparing DNA sequence alignments. Supervisors: Wally Gilks and Kerstin Hommola. Bioinformaticicans often need to align DNA sequences which are related through evolution. For example, the following three sequences: CCCAATGAC, CCCAAGGAAT, ACAGTTAAAT could be aligned like this: CCCAATGA--C CCCAAGGAA-T ...
Sequence Alignment
Sequence Alignment

... We have been working on scoring an alignment: identities and similarities, and gap penalties. But, how do you get an alignment to score in the first place? – Trying all possibilities is one of those “more possibilities than there are atoms in the Universe” problems. The general solution: “dynamic pr ...
sal - RNA Informatics @ UGA
sal - RNA Informatics @ UGA

... – Next week, I will be attending the IMACS conference at UGA. I will also be presenting GAMSA (Genetic Algorithm for Multiple Stem Alignment) at the conference. – Building the RFAM 9.1 in a local copy of mySQL – Learning more about the RFAM database (which tables and attributes are useful to query f ...
Compression of Gene Coding Sequences
Compression of Gene Coding Sequences

Derivation and refinement of global sequence motifs for the integral
Derivation and refinement of global sequence motifs for the integral

Problem 1: (Harmonic numbers) Let Hn be the n harmonic number
Problem 1: (Harmonic numbers) Let Hn be the n harmonic number

Exercise 1
Exercise 1

Protein Evolution and Sequence Analysis
Protein Evolution and Sequence Analysis

... Unlike nucleotide sequence alignments, which are either identical or not identical at a given position, protein sequence alignments include “shades of grey” where one might acknowledge that a T is sort of equivalent to an S. But how equivalent? What number would you assign to an S-T mismatch? And wh ...
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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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