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Germs, genomes and genealogies
Germs, genomes and genealogies

... As the beneficial mutation increases in frequency, it drags along with it the genetic background on which it occurred, a phenomenon known as hitch-hiking [72]. This generates patterns of genetic variation that differ in characteristic ways from those expected in the absence of selection [62,73]. The ...


... • Result intuitive, evolution based • Widely used in sequence analysis – homology search, phylogeny, etc ...
Exact MAP Estimates by (Hyper)tree Agreement
Exact MAP Estimates by (Hyper)tree Agreement

... The remainder of this paper is organized as follows. The next two subsections provide background on exponential families and convex combinations. In Section 2, we introduce the basic form of the upper bounds on the log probability of the MAP assignment, and then develop necessary and sufficient cond ...
ABSTRACT : Inferences are of major concern for database
ABSTRACT : Inferences are of major concern for database

... that there is a danger of these methods not retaining the confidentiality of individual data. For this, we propose a solution based on discrimination techniques to prevent the deduction of confidential information. The choice of discrimination methods is justified by their intensive utilisation in f ...
BIOINFORMATICS Biological information is encoded in the
BIOINFORMATICS Biological information is encoded in the

... 6. The results will appear in a new window. This may take only a few seconds, or more than a minute if a lot of other searches are queued at the server. a. The sequences are displayed in rows of 25 nucleotides. Yellow highlighting denotes mismatches between sequences or regions where only one sequen ...
- Covenant University Repository
- Covenant University Repository

... An alignment can be interpreted as an array with n rows, one row for each S¢ i . Two letters of distinct strings are called aligned under S¢ if they are placed into the same column [24]. To compare different alignments, a fitness function is defined based on the number of matching symbols and the nu ...
BCB 444/544
BCB 444/544

Forest Genetics and Productivity: The Role of Seed Source Control
Forest Genetics and Productivity: The Role of Seed Source Control

... sources at seven test plantations. Twenty-two years after planting, survival, height and diameter at breast height (dbh) were measured on all trees. Local sources (within 100 miles) showed average or above average growth at all plantations. This study concluded black walnut seed source selection can ...
Molecular evolution and substitution patterns.
Molecular evolution and substitution patterns.

Promoter Analysis for Intestinally
Promoter Analysis for Intestinally

... maximized As and Gs. b. The sequences were then run through ClustalW. Alignments can be seen in the following file: i. C. elegans : Cele_all_hits_aligned.txt ii. C. briggsae: Cbri_all_hits_aligned.txt iii. C. remanei : Crem_all_hits_aligned.txt c. Observations: i. Most of the hits in all 3 species a ...
Presence of a mitochondrial-type 70
Presence of a mitochondrial-type 70

... (30–32), demonstrating that HSP70 was an accurate phylogenetic indicator (16). For example, both high G1C and low G1C Gram-positive bacteria were monophyletic. Mitochondrial and chloroplastic sequences are sister-groups of purple bacterial and cyanobacterial ones, respectively. ...
Probability and statistics
Probability and statistics

... the insurance company must know the distribution of the probability of death, known as a mortality table in life insurance. The foundation for mortality determinations was laid by John Graunt and Edmund Halley in the late seventeen century. ...
Ribosomal DNA sequences reveal gregarine pathogens
Ribosomal DNA sequences reveal gregarine pathogens

... The gene coding for the small subunit of ribosomal RNA (SSU RNA) is the most intensively sequenced marker for phylogenetic studies in all groups of organisms, including mites. Newly obtained sequence data can be quickly and easily compared with all published sequences of this marker deposited in Gen ...
Data mining and Knowledge discovery in Biomedical literature
Data mining and Knowledge discovery in Biomedical literature

... Can be generalized to any number of classes Posterior probabilities for selected genes and selected models ...
Homotopy-based Semi-Supervised Hidden Markov Models for
Homotopy-based Semi-Supervised Hidden Markov Models for

... How to Choose  based on Path • monotone: the first point at which the monotonocity of  changes • MaxEnt: choose  for which the model has maximum entropy on the unlab data • minEig: when solving the diff eqn, consider the minimum singular value of the matrix M. Across rounds, choose  for which t ...
Lemons, Limes and Limequats
Lemons, Limes and Limequats

... will change color before they are ripe. You can taste when you think they are ripe and keep tasting on a weekly basis. You will soon learn what they taste like when ripe. Varieties of Lemons, Limes and Limequats for the Houston Area Climate Meyer Lemon A small tree with continuous crops of large mod ...
Basic Data Concepts
Basic Data Concepts

... differences from mean value ∑ (Yi – Ymean)2/(n - 1) ...
Structural Induction www.AssignmentPoint.com Structural induction
Structural Induction www.AssignmentPoint.com Structural induction

... definition of "well-founded".) The significance of the lemma in this context is that it allows us to deduce that if there are any counterexamples to the theorem we want to prove, then there must be a minimal counterexample. If we can show the existence of the minimal counterexample implies an even s ...
Introduction to Algorithms November 4, 2005
Introduction to Algorithms November 4, 2005

Path Planning in Expansive C
Path Planning in Expansive C

from hedgeslab.org
from hedgeslab.org

colors - Corelab - Εθνικό Μετσόβιο Πολυτεχνείο
colors - Corelab - Εθνικό Μετσόβιο Πολυτεχνείο

An Ethical Dilemma: Estimation of Attendance
An Ethical Dilemma: Estimation of Attendance

Thin
Thin

... the percentage of instances in the database that contain at least one of the antecendent conditional items listed in the association rule. ...
Microarray Analysis 3
Microarray Analysis 3

... What is the biological question? Do I have a preconceived notion of how many clusters there should be? How strict do I want to be? Spilt or Join? Can a gene be in multiple clusters? Hard or soft boundaries between clusters ...
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Computational phylogenetics

Computational phylogenetics is the application of computational algorithms, methods, and programs to phylogenetic analyses. The goal is to assemble a phylogenetic tree representing a hypothesis about the evolutionary ancestry of a set of genes, species, or other taxa. For example, these techniques have been used to explore the family tree of hominid species and the relationships between specific genes shared by many types of organisms. Traditional phylogenetics relies on morphological data obtained by measuring and quantifying the phenotypic properties of representative organisms, while the more recent field of molecular phylogenetics uses nucleotide sequences encoding genes or amino acid sequences encoding proteins as the basis for classification. Many forms of molecular phylogenetics are closely related to and make extensive use of sequence alignment in constructing and refining phylogenetic trees, which are used to classify the evolutionary relationships between homologous genes represented in the genomes of divergent species. The phylogenetic trees constructed by computational methods are unlikely to perfectly reproduce the evolutionary tree that represents the historical relationships between the species being analyzed. The historical species tree may also differ from the historical tree of an individual homologous gene shared by those species.Producing a phylogenetic tree requires a measure of homology among the characteristics shared by the taxa being compared. In morphological studies, this requires explicit decisions about which physical characteristics to measure and how to use them to encode distinct states corresponding to the input taxa. In molecular studies, a primary problem is in producing a multiple sequence alignment (MSA) between the genes or amino acid sequences of interest. Progressive sequence alignment methods produce a phylogenetic tree by necessity because they incorporate new sequences into the calculated alignment in order of genetic distance.
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