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Recent Advances in Parasitomics

Implications for Parasite and Vector Research

Juan David Ramírez González (Hrsg.)

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ca. 181,89

Springer Nature Switzerland img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Mikrobiologie

Beschreibung

This book presents a new era in parasitology research and involves several contributions on translational results. Readers are equipped with the recent advances of parasitomics (the OMICS study of parasites). World-renowned experts in the field of molecular biology and omics provide a glance of how omics have revolutionized our understanding of parasites and vectors, including the implications of these advances. A particular focus is on comprehending the biology, diagnostics, surveillance, response to treatment, prevention, and control of parasites. Final, cutting-edge studies on disease vectors round out this volume. Overall, five thematic book sections provide a clear overview and smooth findability of contents.

Parasitic diseases represent an important burden for healthcare systems, particularly in endemic countries. In recent decades, there have been several advances in dissecting the genome, transcriptome and proteome of parasites allowing researchers worldwide to exploit this information and ameliorate our understanding of parasitoses and infections.

For the first time, this collection will permit scientists, students, and all medical professionals around the world to update their knowledge and uncover the impact of going from basic science to implementation in order to mitigate parasitic diseases. In this way, the present work makes an indispensable contribution to practical progress regarding research on Neglected Tropical Diseases (NTDs) and the Sustainable Development Goal (SDG) 2, Good Health and Well-Being. 

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Schlagwörter

Parasite, Sustainable Development Goal, SDG 3, Transcriptomics, Neglected Tropical Diseases, Proteomics, Omics, Good Health and Well-Being, Protozoa, Helminths, Parasite vector, Genomics, Next-Generation Sequencing, CRISPR-CAS, Deep sequencing, Parasite genome