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Pedigree Analysis

Pedigree Analysis

Pedigree Analysis

Pedigree Analysis

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

Incomplete Dominance

Incomplete Dominance

Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.

Trihybrid Crosses

Trihybrid Crosses

Trihybrid Crosses
Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
The F1 generation plants of a trihybrid cross are heterozygous for all three traits and produce eight gametes. Upon self-fertilization, these gametes have an equal...

Punnett Squares

Punnett Squares

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Frequency and Distribution of Crossovers in Caenorhabditis elegans Meiosis by SNP Genotyping using Real-time PCR

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Algorithms for Pedigree Comparison.

Zhi-Zhong Chen, Qilong Feng, Chao Shen

IEEE/ACM Transactions on Computational Biology and Bioinformatics

|April 15, 2016

Summary

This summary is machine-generated.

This study introduces three computational models for comparing pedigrees, essential for evolutionary biology and genetic studies. Algorithms are developed to efficiently solve complex pedigree comparison problems, aiding in genetic research and crop relationship analysis.

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A Practical Guide to Phylogenetics for Nonexperts

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Published on: February 5, 2014

Area of Science:

Evolutionary Biology
Computational Biology
Genetics

Background:

Pedigrees are crucial for understanding ancestral relationships in evolutionary biology and genetics.
Reconstructing and comparing pedigrees is vital for genetic studies, disease locus identification, and analyzing crop relationships.
Existing methods for pedigree comparison are being advanced to address complex computational challenges.

Purpose of the Study:

To introduce and analyze three novel computational models for comparing pedigrees: maximum pedigree isomorphism, maximum paternal-path-preserved mapping, and minimum edge-cutting mapping.
To develop efficient algorithms for these pedigree comparison problems.
To provide practical tools for evaluating and comparing inferred pedigrees with known ones.

Main Methods:

The study employs theoretical computer science approaches, including NP-hardness proofs and fixed-parameter algorithms.
A dynamic programming algorithm is developed for the maximum paternal-path-preserved mapping problem.
Computational complexity analysis is used to evaluate the efficiency of the proposed algorithms.

Main Results:

The maximum pedigree isomorphism problem is proven to be NP-hard, with a fixed-parameter algorithm provided.
An efficient dynamic programming algorithm is presented for the maximum paternal-path-preserved mapping problem.
The minimum edge-cutting mapping problem is also shown to be NP-hard, with a practical fixed-parameter algorithm developed.

Conclusions:

The developed algorithms offer efficient solutions for complex pedigree comparison tasks.
These methods enhance the ability to compare and analyze genetic relationships in various biological contexts, including human genetics and crop science.
The research contributes to the advancement of computational tools for evolutionary and genetic studies.