Bioinformatik

Arctic and Subarctic North America is particularly affected by climate change, where average temperatures are rising three times faster than the global average. Documenting the changing climate/environment of the north requires a structured knowledge of indicator taxa that reflect the effects of climate changes.Aleocharine beetles are a dominant group of forest insects, which are being used in many projects as indicators of environmental change. Many species are forest specialists restricted to certain microhabitats, some are generalists and others are open habitat specialists. They represent many ecological niches and, as such, are good indicators for many other species as well. The majority of Canadian aleocharine beetle species (about 600 spp.) has been studied and published by Jan Klimaszewski et al. (2018, 2020), mainly from southern, central, and western Canada, while the northern taxa remain poorly known and documented. The aim of the presentbook is to summarize the knowledge on this insect group in the Arctic and Subarctic North America and to provide a diagnostic and ecological tool for scientists studying and monitoring insects in northern Canada and Alaska. The book includes a review of the literature, information on 238 species and their habitats, taxonomic review, images, and identification tools.

This new volume, a part of the Proteomics, Metabolomics, Interactomics and Systems Biology series, will explain how proteomic studies of post-translational modifications (PTMs) can be applied to neurodegenerative diseases and relevant studies. The goal of the book is to increase awareness among researchers about how PTMs may be helpful in understanding mechanisms in various neurodegenerative diseases through proteomic studies. This book will serve as a tool for those who want to begin work in the proteomics field and explore how to implement PTMs studies into their work. Chapter authors will describe different PTMs enrichment methods developed by experts in the field so that researchers may learn to apply these methods and techniques to new studies. Divided into three sections, chapters will cover sample preparation, data quality, enrichment techniques, guidelines on how to analyze PTMs, and explain the role of PTMs and different brain diseases. Among those topics includes will be brain cancer, SLA disease, Parkinsons disease, muscular dystrophies, and schizophrenia. This volume will be useful for researchers and students studying brain and neurodegenerative diseases who are interested in delving into work with proteomic studies and PTMs. 

Ein Mathe-Buch nach den Wünschen der Biologie? Der Inhalt des Buches richtet sich zunächst einmal nach der Modulbeschreibung des Fachbereichs Biologie der Universität Osnabrück:Prozentrechnung, Dreisatz, Mischungskreuz, Potenzrechnen, Logarithmisches Rechnen, Elementare Funktionen (Polynom-, Trigonometrie-, Exponential-, Logarithmus¿Funktionen), Di¿erenzial- und Integralrechnung, Vektorrechnung, Grundbegri¿e der Kombinatorik, Grundbegri¿e der Wahrscheinlichkeitsrechnung, Bedingte Wahrscheinlichkeiten, Grundbegri¿e der beschreibenden Statistik, Wahrscheinlichkeitsverteilungen, Normalverteilung, Grundlagen der schließenden Statistik.Das ist ehrlich und ambitioniert zugleich. Auf den Schulkenntnissen aufbauend wird hier dieser Stö von einem höheren Niveau aus betrachtet! Dennoch bleibt die Darstellung für jeden Studienanfänger verständlich, wobei auch die mehr als 20-jährige Erfahrung des Autors mit diesem Kurs eine Rolle spielen dürfte. Die Dauer dieses Moduls war auf ein Semester beschränkt.Weitere Themen, die häüg in mathematischen Vorlesungen behandelt werden, ¿nden sich im Anhang und mit Hilfe des ausführlichen Inhaltsverzeichnisses auch als Ergänzungen im regulären Text.Dadurch ist das Buch auch für Vorlesungen mit einer anderen Stöauswahl oder insgesamt für einen zweisemestrigen Grundkurs geeignet!

Indian mycologists have extensively studied various groups of fungi such as soil fungi, aquatic fungi, marine fungi, endophytic fungi, fungi associated with man and animals. Though several books on various aspects of fungi are published, this is the first account of the history and development in mycology in India. This book is the second volume of the two-volume book "e;Progress in Mycology: An Indian Perspective"e;.  While volume 1 contains the historical aspects, taxonomy and information about the various groups of fungi, this volume focuses majorly on the biotechnological applications of the different groups of fungi. It discusses topics such as the extremophilic fungi, the history and development in Candida research, progress of mycotoxin research in India etc. It provides a detailed account of the various enzymes and bio-active molecules derived from fungi. India shows a very high biodiversity of fungi, and this book discusses these different group of fungi and their industrial and biotechnological applications.  This book is useful to students, teachers and researchers in botany, microbiology, biotechnology and life sciences, agriculture and industries using fungi to produce various valuable products.

This book constitutes the refereed proceedings of the 20th International Conference on Computational Methods in Systems Biology, CMSB 2022, held in Bucharest, Romania, in September 2022.The 13 full papers and 4 tool papers were carefully reviewed and selected from 43 submissions. CMSB focuses on modeling, simulation, analysis, design and control of biological systems. The papers are arranged thematically as follows: Chemical reaction networks; Boolean networks; continuous and hybrid models; machine learning; software.

This book explores the importance of Single Nucleotide Polymorphisms (SNPs) in biomedical research. As SNP technologies have evolved from labor intensive, expensive, time-consuming processes to relatively inexpensive methods, SNP discovery has exploded. In terms of human biology, this research, particularly since the completion of the Human Genome Project, has provided a detailed understanding of evolutionary forces that have generated SNPs. It also has shown how SNPs shape human variation. The ability to inexpensively generate and analyze vast amounts of genetic data is poised to transform our understanding of human evolution and biology. "e;Single Nucleotide Polymorphisms"e; covers a broad  survey of SNPs and their classification into synonymous and non-synonymous; the role of SNPs in human disease; case studies providing specific examples of synonymous and non-synonymous SNPs associated with human diseases or affecting therapeutic interventions; mechanisms by which synonymous mutations affect protein levels or protein folding which affect human physiology and response to therapy; and the role of SNPs in personalized medicine. Understanding what SNPs are, how they have been shaped is necessary for an increasingly expanding audience. This research will revolutionize the future of medicine. Chapter 4 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. SNPs Ability to Influence Disease Risk: Breaking the Silence on Synonymous Mutations in Cancer"e; is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Over the past decade, neuroproteomics has shed light on the molecular features of schizophrenia by depicting biological processes involved with its establishment, maintenance and treatment. These studies have also pointed to potential biomarkers applicable to diagnosis and medication monitoring. Edited by a leader in the field of neuroproteomics with contributions from subject experts, this new volume will address recent findings and compile evidence from difference perspectives-such as human samples, animal models, pluripotent stem cell-derived in vitro pre-clinical models-and provide findings to inform the development of innovative future treatment strategies.This volume will be useful for a broad audience of researchers and professionals, including biologists, neurologists, psychiatrists, analytical chemists, and pharmacists, among others.

Computational Methods and Deep Learning for Ophthalmology presents readers with the concepts and methods needed to design and use advanced computer-aided diagnosis systems for ophthalmologic abnormalities in the human eye.  Chapters cover computational approaches for diagnosis and assessment of a variety of ophthalmologic abnormalities. Computational approaches include topics such as Deep Convolutional Neural Networks, Generative Adversarial Networks, Auto Encoders, Recurrent Neural Networks, and modified/hybrid Artificial Neural Networks. Ophthalmological abnormalities covered include Glaucoma, Diabetic Retinopathy, Macular Degeneration, Retinal Vein Occlusions, eye lesions, cataracts, and optical nerve disorders. This handbook provides biomedical engineers, computer scientists, and multidisciplinary researchers with a significant resource for addressing the increase in the prevalence of diseases such as Diabetic Retinopathy, Glaucoma, and Macular Degeneration.