Description

Book Synopsis

.- Detective Challenge: a card-game approach to teach bioinformatics and gene expression in high schools.

.- Dissecting Structural Differences in Tumoral and Control Co-expression Networks through Centrality Measures.

.- Diversity of GH18 Family of Chitinases in Arthropods.

.- Transcriptomic Profiling and Regulatory Network Reconstruction Uncovers Central Genes in HTLV Infection Progression.

.- Predicting microsatellite instability from whole slide images using texture features.

.- The Extended N-Terminal Domain of VPAC1 Isoform 2 Acts as a Self-Inhibitory Element: Insights from Molecular Dynamics Simulations.

.- Using Machine Learning and Graph-based Signatures to Evaluate Normal and Decreased Function CYP2D6 Haplotypes.

.- Immune Remodeling and Dysbiosis May Distinguish the Microenvironments of Gastric Adenocarcinoma and Peritumoral Tissue.

.- Viral Sequence Database Manager Version 2 (VSDBMv2): A Distributed Framework for Viral Genomic Analysis and Epitope Mapping.

.- In silico assessment of immune cross protection between BCoV and SARS-CoV-2.

.- Exploring the Therapeutic Potential of Flavonoids Present in Propolis Against Colorectal Cancer Through a Network Pharmacology Approach.

.- BITSER: an alignment-free approach for feature extraction and classification of viral genomes.

.-Towards Fast Binding Affinity Scoring in Protein–Protein Complexes via Interatomic Contacts and Linear Regression.

.- Characterization of the Terpene Synthase Gene Family and Its Role in Response to Water Deprivation in Stylosanthes scabra.

.- Protein Dimension DB: A Unified Protein Repository for Representation Learning and Functional Analysis.

.- Forecasting using SARIMAX model and LSTM approach for arboviruses using exogenous climatic variables in predicting dengue incidence.

BioInformatics

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    £62.99

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    RRP £69.99 – you save £7.00 (10%)

    Order before 4pm today for delivery by Fri 19 Jun 2026.

    A Paperback by Marcio Dorn

    1 in stock


      View other formats and editions of BioInformatics by Marcio Dorn

      Publisher: Springer
      Publication Date: 08/01/2026
      ISBN13: 9783032093356, 978-3032093356
      ISBN10:

      Description

      Book Synopsis

      .- Detective Challenge: a card-game approach to teach bioinformatics and gene expression in high schools.

      .- Dissecting Structural Differences in Tumoral and Control Co-expression Networks through Centrality Measures.

      .- Diversity of GH18 Family of Chitinases in Arthropods.

      .- Transcriptomic Profiling and Regulatory Network Reconstruction Uncovers Central Genes in HTLV Infection Progression.

      .- Predicting microsatellite instability from whole slide images using texture features.

      .- The Extended N-Terminal Domain of VPAC1 Isoform 2 Acts as a Self-Inhibitory Element: Insights from Molecular Dynamics Simulations.

      .- Using Machine Learning and Graph-based Signatures to Evaluate Normal and Decreased Function CYP2D6 Haplotypes.

      .- Immune Remodeling and Dysbiosis May Distinguish the Microenvironments of Gastric Adenocarcinoma and Peritumoral Tissue.

      .- Viral Sequence Database Manager Version 2 (VSDBMv2): A Distributed Framework for Viral Genomic Analysis and Epitope Mapping.

      .- In silico assessment of immune cross protection between BCoV and SARS-CoV-2.

      .- Exploring the Therapeutic Potential of Flavonoids Present in Propolis Against Colorectal Cancer Through a Network Pharmacology Approach.

      .- BITSER: an alignment-free approach for feature extraction and classification of viral genomes.

      .-Towards Fast Binding Affinity Scoring in Protein–Protein Complexes via Interatomic Contacts and Linear Regression.

      .- Characterization of the Terpene Synthase Gene Family and Its Role in Response to Water Deprivation in Stylosanthes scabra.

      .- Protein Dimension DB: A Unified Protein Repository for Representation Learning and Functional Analysis.

      .- Forecasting using SARIMAX model and LSTM approach for arboviruses using exogenous climatic variables in predicting dengue incidence.

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