ei ole lubatud
ei ole lubatud
Digitaalõiguste kaitse (DRM)
Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).
Vajalik tarkvara
Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)
PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )
Seda e-raamatut ei saa lugeda Amazon Kindle's.
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 Tools to 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.