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Sarah Mwangi

Researcher at South African National Bioinformatics Institute

Publications -  5
Citations -  437

Sarah Mwangi is an academic researcher from South African National Bioinformatics Institute. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 4, co-authored 4 publications receiving 394 citations. Previous affiliations of Sarah Mwangi include University of the Western Cape.

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Journal ArticleDOI

Genome sequence of the tsetse fly (Glossina morsitans ): Vector of African trypanosomiasis

Junichi Watanabe, +147 more
- 25 Apr 2014 - 
TL;DR: The sequence and annotation of the 366-megabase Glossina mors Titans morsitans genome are described, providing a foundation for research into trypanosomiasis prevention and yield important insights with broad implications for multiple aspects of tsetse biology.
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Chromosomal-level assembly of the Asian seabass genome using long sequence reads and multi-layered scaffolding

TL;DR: The quality of the Asian seabass genome assembly far exceeds that of any other fish species, and will serve as a new standard for fish genomics.
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Evolutionary genomics of Glossina morsitans immune-related CLIP domain serine proteases and serine protease inhibitors

TL;DR: This study identifies G. morsitans immune-related CLIP domain serine proteases and their inhibitors,serine protease inhibitors (serpin) genes and establishes their evolutionary relationships with counterparts in Drosophila melanogaster, Anopheles gambiae, Bombyx mori, Manduca sexta and Culex quinquefasciatus.
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TSS seq based core promoter architecture in blood feeding Tsetse fly (Glossina morsitans morsitans) vector of Trypanosomiasis

TL;DR: The study has identified different motif combinations associated with broad promoters in a blood-feeding insect and the increasing availability of TSS seq data allows for revision of existing gene annotation datasets with the potential of identifying new transcriptional units.
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A pan-African pathogen genomics data sharing platform to support disease outbreaks

TL;DR: In this paper , a federated data-management system for genomics epidemiology is proposed to deal with disease threats in Africa, where high-income countries have a wealth of genomics expertise that can be rapidly activated.