Advanced Computational Methods, NGS Tools, and Software for Mammalian Systems Biology

Adhil, Mohamood; Agarwal, Mahima; Achutharao, Prahalad; Talukder, Asoke K.

doi:10.1007/978-3-319-43335-6_6

Cited by 2 publications

(3 citation statements)

References 13 publications

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“…Systems biology is a key subfield of vetinformatics and has made great contributions to the modeling and simulation of biological systems (101)(102)(103). The field aids in the integration of multi-omics data, including genomics, proteomics, metabolomics, and transcriptomics, in order to construct models that comprehensively characterize the behavior of biological systems under various conditions (104).…”

Section: Systems Biology and Integration Of Multi-omics Datamentioning

confidence: 99%

“…In the past, researchers were forced to focus on single genes or proteins, but as omics technology and systems biology have advanced, the paradigm has changed from a reductionist approach to a holistic approach (104). Through network modeling and analysis, systems biology enables prediction of the behavior of whole systems and identification of essential components involved in various biological processes, both of which ultimately contribute to advancements in animal welfare and livestock productivity (101)(102)(103)(104).…”

Section: Systems Biology and Integration Of Multi-omics Datamentioning

confidence: 99%

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Vetinformatics from functional genomics to drug discovery: Insights into decoding complex molecular mechanisms of livestock systems in veterinary science

Pathak

Kim

2022

Front. Vet. Sci.

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Having played important roles in human growth and development, livestock animals are regarded as integral parts of society. However, industrialization has depleted natural resources and exacerbated climate change worldwide, spurring the emergence of various diseases that reduce livestock productivity. Meanwhile, a growing human population demands sufficient food to meet their needs, necessitating innovations in veterinary sciences that increase productivity both quantitatively and qualitatively. We have been able to address various challenges facing veterinary and farm systems with new scientific and technological advances, which might open new opportunities for research. Recent breakthroughs in multi-omics platforms have produced a wealth of genetic and genomic data for livestock that must be converted into knowledge for breeding, disease prevention and management, productivity, and sustainability. Vetinformatics is regarded as a new bioinformatics research concept or approach that is revolutionizing the field of veterinary science. It employs an interdisciplinary approach to understand the complex molecular mechanisms of animal systems in order to expedite veterinary research, ensuring food and nutritional security. This review article highlights the background, recent advances, challenges, opportunities, and application of vetinformatics for quality veterinary services.

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Section: Systems Biology and Integration Of Multi-omics Datamentioning

confidence: 99%

Section: Systems Biology and Integration Of Multi-omics Datamentioning

confidence: 99%

Vetinformatics from functional genomics to drug discovery: Insights into decoding complex molecular mechanisms of livestock systems in veterinary science

Pathak

Kim

2022

Front. Vet. Sci.

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“…Combined multi-omics analysis also improves the accuracy and robustness of biomarker discovery efforts in livestock, leading to more reliable diagnostic tools and predictive models. Ultimately, the use of multi-omics in livestock research can contribute to improved disease management, breeding strategies and overall livestock health and welfare [ 15 , 16 , 20–22 ]. Therefore, the goal of veterinary systems biology analyses is to identify key components associated with the phenotypes of interest using relevant statistical methods and extensive network analysis [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

Veterinary systems biology for bridging the phenotype–genotype gap via computational modeling for disease epidemiology and animal welfare

Pathak,

Kim

2024

Briefings in Bioinformatics

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Veterinary systems biology is an innovative approach that integrates biological data at the molecular and cellular levels, allowing for a more extensive understanding of the interactions and functions of complex biological systems in livestock and veterinary science. It has tremendous potential to integrate multi-omics data with the support of vetinformatics resources for bridging the phenotype–genotype gap via computational modeling. To understand the dynamic behaviors of complex systems, computational models are frequently used. It facilitates a comprehensive understanding of how a host system defends itself against a pathogen attack or operates when the pathogen compromises the host’s immune system. In this context, various approaches, such as systems immunology, network pharmacology, vaccinology and immunoinformatics, can be employed to effectively investigate vaccines and drugs. By utilizing this approach, we can ensure the health of livestock. This is beneficial not only for animal welfare but also for human health and environmental well-being. Therefore, the current review offers a detailed summary of systems biology advancements utilized in veterinary sciences, demonstrating the potential of the holistic approach in disease epidemiology, animal welfare and productivity.

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Advanced Computational Methods, NGS Tools, and Software for Mammalian Systems Biology

Cited by 2 publications

References 13 publications

Vetinformatics from functional genomics to drug discovery: Insights into decoding complex molecular mechanisms of livestock systems in veterinary science

Vetinformatics from functional genomics to drug discovery: Insights into decoding complex molecular mechanisms of livestock systems in veterinary science

Veterinary systems biology for bridging the phenotype–genotype gap via computational modeling for disease epidemiology and animal welfare

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