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  1. Introduction

    As the amount of biological data grows, the task of understanding existing data becomes increasingly important, and this is largely a task best...
    William W. Cohen, Charles K. Cohen in A Computer Scientist's Guide to Cell Biology
    Chapter 2024
  2. Looking at Very Small Things

    You can’t understand a system as complicated as a living being without first gathering information about it. Over the centuries, biologists have come...
    William W. Cohen, Charles K. Cohen in A Computer Scientist's Guide to Cell Biology
    Chapter 2024
  3. Other Ways to Use Biology for Biological Experiments

    Before a cell can start dividing its cytoplasm, it first must create (or replicate) a second copy of its genome. The process involves two steps:...
    William W. Cohen, Charles K. Cohen in A Computer Scientist's Guide to Cell Biology
    Chapter 2024
  4. Bioinformatics

    Biologists are drowning in data. Increasingly sophisticated techniques for automation and parallelism are generating ever-greater quantities of raw...
    William W. Cohen, Charles K. Cohen in A Computer Scientist's Guide to Cell Biology
    Chapter 2024
  5. How Cells Work: The Basics

    Deoxyribonucleic acid—DNA—is perhaps the most famous molecule in the world. If you close your eyes, you can probably picture its iconic double-helix...
    William W. Cohen, Charles K. Cohen in A Computer Scientist's Guide to Cell Biology
    Chapter 2024
  6. Why Is Biology Hard?

    Biology is a never-ending ocean of complexity. Although the basic mechanics of processes like DNA transcription are the same across most—if not...
    William W. Cohen, Charles K. Cohen in A Computer Scientist's Guide to Cell Biology
    Chapter 2024
  7. Manipulation of the Very Small

    Imagine, if you will, that you’ve found an old desktop computer, and you want to figure out how it was made. The more detailed the better—ideally,...
    William W. Cohen, Charles K. Cohen in A Computer Scientist's Guide to Cell Biology
    Chapter 2024
  8. Reprogramming Cells

    Biologists have come up with a lot of clever ways to sort and analyze cellular processes, but even gene chips and mass spectroscopy are still,...
    William W. Cohen, Charles K. Cohen in A Computer Scientist's Guide to Cell Biology
    Chapter 2024
  9. Genetic Architectures at the Individual Level

    Mendel explained, in the second half of the nineteenth century, the inheritance of certain traits as the action of pairs of factors—one-locus...
    José M Álvarez-Castro in Genes, Environments and Interactions
    Chapter 2023
  10. DNA Modification Patterns Filtering and Analysis Using DNAModAnnot

    Map** DNA modifications at the base resolution is now possible at the genome level thanks to advances in sequencing technologies. Long-read...
    Alexis Hardy, Sandra Duharcourt, Matthieu Defrance in Computational Epigenomics and Epitranscriptomics
    Protocol 2023
  11. Predicting Pseudouridine Sites with Porpoise

    PseudouridinePseudouridine is a ubiquitous RNAModificationRNA modification and plays a crucial role in many biological processes. However, it remains...
    Xudong Guo, Fuyi Li, Jiangning Song in Computational Epigenomics and Epitranscriptomics
    Protocol 2023
  12. Nanopore Direct RNA Sequencing Data Processing and Analysis Using MasterOfPores

    This chapter describes MasterOfPores v.2 (MoP2), an open-source suite of pipelines for processing and analyzing direct RNA Oxford Nanopore sequencing...
    Luca Cozzuto, Anna Delgado-Tejedor, ... Julia Ponomarenko in Computational Epigenomics and Epitranscriptomics
    Protocol 2023
  13. Data Analysis Pipeline for Detection and Quantification of Pseudouridine (ψ) in RNA by HydraPsiSeq

    Pseudouridine, a modified RNA residue formed by the isomerization of its parental U nucleotide, is prevalent in a majority of cellular RNAs; its...
    Florian Pichot, Virginie Marchand, ... Yuri Motorin in Computational Epigenomics and Epitranscriptomics
    Protocol 2023
  14. Map** of RNA Modifications by Direct Nanopore Sequencing and JACUSA2

    RNA modifications exist in all kingdom of life. Several different types of base or ribose modifications are now summarized under the term...
    Amina Lemsara, Christoph Dieterich, Isabel S. Naarmann-de Vries in Computational Epigenomics and Epitranscriptomics
    Protocol 2023
  15. Integrating Single-Cell Methylome and Transcriptome Data with MAPLE

    As a mechanism of epigenetic gene regulation, DNA methylation has crucial roles in developmental and differentiation programs. Thanks to the recently...
    Yasin Uzun, Hao Wu, Kai Tan in Computational Epigenomics and Epitranscriptomics
    Protocol 2023
  16. Sequoia: A Framework for Visual Analysis of RNA Modifications from Direct RNA Sequencing Data

    Oxford Nanopore-based long-read direct RNA sequencing protocols are being increasingly used to study the dynamics of RNA metabolic processes due to...
    Ratanond Koonchanok, Swapna Vidhur Daulatabad, ... Sarath Chandra Janga in Computational Epigenomics and Epitranscriptomics
    Protocol 2023
  17. Impact of Cognitive Priming on Alzheimer’s Disease

    Alzheimer’s disease is a progressive neurodegenerative disease which spreads increasingly, and subjective cognitive decline (SCD) is an early state...
    Hamdi Ben Abdessalem, Claude Frasson in GeNeDis 2022
    Conference paper 2023
  18. Application of Graphs in a One Health Framework

    The One Health framework, which advocates the crucial interconnection between environmental, animal, and human health and well-being, is becoming of...
    Ifigeneia Sideri, Nikolaos Matzakos in GeNeDis 2022
    Conference paper 2023
  19. Graph-Based Disease Prediction in Neuroimaging: Investigating the Impact of Feature Selection

    In biomedical machine learning, data often appear in the form of graphs. Biological systems such as protein interactions and ecological or brain...
    Dimitra Kiakou, Adam Adamopoulos, Nico Scherf in GeNeDis 2022
    Conference paper 2023
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