ArticleMethods in molecular biology (Clifton, N.J.)2021
Integration of Genomic and Transcriptomic Data to Elucidate Molecular Processes in Babesia divergens.
Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Shared host, distinct invaders: metabolomic footprints of plasmodium and babesia in host red cells.Current opinion in hematology · 2025Review
- A novel promising diagnostic candidate selected by screening the transcriptome of Babesia gibsoni (Wuhan isolate) asexual stages in infected beagles.Parasites & vectors · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emerging pathogens have developed ingenious life cycles to facilitate their growth and survival in the host organism. Detailed knowledge of the life cycle of these pathogens is increasingly necessary if we are to design new strategies to prevent infection and transmission. Multi-omics platforms provide useful data at different biological levels, and integration of these data into current approaches can facilitate holistic assessment of emerging pathogens. In this chapter, we bring together various methods and apply an integrative approach for analysis of genomic and transcriptomic data in Babesia divergens, an Apicomplexa emerging parasite that invades red blood cells and causes redwater fever in cattle and the most severe form of babesiosis in humans in Europe. The integrative methodology described herein can be helpful to identify genes active at specific points during life cycle of Apicomplexa parasites.
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