RNA Sequence data analysis using DESeq2 pipeline
Namulondo, J; Nyangiri, OA; Kimuda, MP; Nambala, P; Nassuuna, J; Egesa, M
; Nerima, B; Biryomumaisho, S; Mugasa, CM; Nabukenya, I; Kato, D; Elliott, A; Noyes, H; Tweyongyere, R; Matovu, E and Mulindwa, J
(2023).
RNA Sequence data analysis using DESeq2 pipeline.
[Dataset].
PLOS Neglected Tropical Diseases.
https://doi.org/10.1371/journal.pntd.0011455.s009
; Nerima, B; Biryomumaisho, S; Mugasa, CM; Nabukenya, I; Kato, D; Elliott, A; Noyes, H; Tweyongyere, R; Matovu, E and Mulindwa, J
(2023).
RNA Sequence data analysis using DESeq2 pipeline.
[Dataset].
PLOS Neglected Tropical Diseases.
https://doi.org/10.1371/journal.pntd.0011455.s009
RNA Sequence data analysis using DESeq2 pipeline.
Keywords
Schistosoma mansoni; Gene expression; Long non-coding RNA; Fibrosis; RNA sequencing; Pediatric infections; Blood; Schistosomiasis| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software DESeq2 pipeline |
| Capture method | Other |
| Date | 15 November 2023 |
| Language(s) of written materials | English |
| Creator(s) |
Namulondo, J; Nyangiri, OA; Kimuda, MP; Nambala, P; Nassuuna, J; Egesa, M; Nerima, B; Biryomumaisho, S; Mugasa, CM; Nabukenya, I; Kato, D; Elliott, A; Noyes, H; Tweyongyere, R; Matovu, E and Mulindwa, J
|
| LSHTM Faculty/Department | MRC/UVRI and LSHTM Uganda Research Unit |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 04 Dec 2023 10:44 |
| Last Modified | 10 Sep 2026 14:02 |
| Publisher | PLOS Neglected Tropical Diseases |
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