Buch, Englisch, 249 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 406 g
20th International Conference, RECOMB-CG 2023, Istanbul, Turkey, April 14-15, 2023, Proceedings
Buch, Englisch, 249 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 406 g
Reihe: Lecture Notes in Bioinformatics
ISBN: 978-3-031-36910-0
Verlag: Springer Nature Switzerland
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).
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
Weitere Infos & Material
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.
