Overview

This book constitutes the refereed proceedings of the 20th Annual RECOMB Satellite Workshop on Comparative Genomics, RECOMB-CG 2023 which took place in Istanbul, Turkey, in April 2023.  The 15 full papers included in this book were carefully reviewed and selected from 25 submissions. The papers present cutting edge research in comparative genomics, with an emphasis on computational approaches and novel experimental results. Chapters ""Inferring Clusters of Orthologous and Paralogous Transcripts"" and ""Gene Order Phylogeny via Ancestral Genome Reconstruction under Dollo"" are published Open Access under Creative Commons Attribution license (CC BY 4.0). 

Full Product Details

Author:   Katharina Jahn ,  Tomáš Vinař
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2023
Volume:   13883
Weight:   0.409kg
ISBN:  

9783031369100

ISBN 10:   3031369106
Pages:   249
Publication Date:   13 July 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Classifying the Post-Duplication Fate of Paralogous Genes.- Inferring clusters of orthologous and paralogous transcripts.- On the class of double distance problems.- The Floor is Lava - Halving Genomes with Viaducts, Piers and Pontoons.- Two strikes against the phage recombination problem.- Physical mapping of two nested fixed inversions in the X chromosome of the malaria mosquito Anopheles messeae.- Gene order phylogeny via ancestral genome reconstruction under Dollo.- Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference.- The Asymmetric Cluster Affinity Cost.- The k-RF Measures for Labeled Trees.- Bounding the Number of Reticulations in a Tree-Child Network That Displays a Set of Trees.- Finding agreement cherry-reduced subnetworks in level-1 networks.- CONSULT-II: Taxonomic identification using Locality Sensitive Hashing.- MAGE: Strain Level Profiling of Metagenome Samples.- MoTERNN: Classifying the Mode of Cancer Evolution Using Recursive Neural Networks.

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