Buch, Englisch, Band 13234, 341 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 540 g
19th International Conference, RECOMB-CG 2022, La Jolla, CA, USA, May 20-21, 2022, Proceedings
Buch, Englisch, Band 13234, 341 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 540 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-06219-3
Verlag: Springer International Publishing
The 18 full papers included in this book were carefully reviewed and selected from 28 submissions. The papers were organized in topical sections on evolution; phylogenetics; homology and reconciliation; genome rearrangements; metagenomics; and genomic sequencing.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Evolution.- On the Comparison of Bacteriophage Populations.- Syntenic Dimensions of Genomic Evolution.- Phylogenetics.- Fast and Accurate Branch Support Calculation for Distance-based Phylogenetic Placements.- The Sackin Index of Simplex Networks.- Phylogenetic Placement Problem: A Hyperbolic Embedding Approach.- Phylogenetic Network Dissimilarity Measures That Take Branch Lengths Into Account.- Homology and Reconciliation.- The Complexity of Finding Common Partitions of Genomes with Predefined Block Sizes.- Reconciliation with Segmental Duplication, Transfer, Loss and Gain.- Quantifying Hierarchical Conflicts in Homology Statements.- On Partial Gene Transfer and its Impact on Gene Tree Reconstruction.- Genome Rearrangements.- Sorting by k-Cuts on Signed Permutations.- A New Approach for the Reversal Distance with Indels and Moves in Intergenic Regions.- Chromothripsis Rearrangements Are Informed by 3D Genome Organization.- Metagenomics.- Using Computational Synthetic Biology Toolsto Modulate Gene Expression within a Microbiome.- Metagenomics Binning of Long Reads Using Read-Overlap Graphs.- A Mixed Integer Linear Programming Algorithm for Plasmid Binning.- Genomic Sequencing.- Benchmarking Penalized Regression Methods in Machine Learning for Single Cell RNA Sequencing Data.- Deciphering the Tissue-speci c Regulatory Role of Intronless Genes Across Cancers.
