Insertions and Deletions: Computational Methods, Evolutionary Dynamics, and Biological Applications

BD Redelings, I Holmes, G Lunter… - Molecular biology …, 2024 - academic.oup.com
Insertions and deletions constitute the second most important source of natural genomic
variation. Insertions and deletions make up to 25% of genomic variants in humans and are …

Alignment modulates ancestral sequence reconstruction accuracy

RA Vialle, AU Tamuri, N Goldman - Molecular biology and …, 2018 - academic.oup.com
Accurate reconstruction of ancestral states is a critical evolutionary analysis when studying
ancient proteins and comparing biochemical properties between parental or extinct species …

A probabilistic model for indel evolution: differentiating insertions from deletions

G Loewenthal, D Rapoport, O Avram… - Molecular biology …, 2021 - academic.oup.com
Insertions and deletions (indels) are common molecular evolutionary events. However,
probabilistic models for indel evolution are under-developed due to their computational …

The evolutionary traceability of a protein

A Jain, D Perisa, F Fliedner… - Genome biology and …, 2019 - academic.oup.com
Orthologs document the evolution of genes and metabolic capacities encoded in extant and
ancient genomes. However, the similarity between orthologs decays with time, and …

Inferring rates and length-distributions of indels using approximate Bayesian computation

E Levy Karin, D Shkedy, H Ashkenazy… - Genome biology and …, 2017 - academic.oup.com
The most common evolutionary events at the molecular level are single-base substitutions,
as well as insertions and deletions (indels) of short DNA segments. A large body of research …

Identification of selective sweeps in bacteria

O Avram, E Levy Karin, J Corander, Y Oren, T Pupko - bioRxiv, 2023 - biorxiv.org
Selective sweeps occur when a beneficial mutation spreads rapidly throughout the
population due to natural selection. Searching for selective sweeps has proved to be one of …

[引用][C] Non-Homogeneous Hidden Markov Model

Q Liu