Use este identificador para citar ou linkar para este item:
https://www.arca.fiocruz.br/handle/icict/60259
Tipo de documento
ArtigoDireito Autoral
Acesso aberto
Coleções
- INI - Artigos de Periódicos [3460]
Metadata
Mostrar registro completo
SIMPLICITY DIFFEXPRESS: A BESPOKE CLOUD-BASED INTERFACE FOR RNA-SEQ DIFFERENTIAL EXPRESSION MODELING AND ANALYSIS
Data-driven
Differential expression analysis
Differential gene expression
EdgeR
Statistical modeling
Transcriptomics
Autor(es)
Afiliação
School of Biochemistry and Cell Biology. University College Cork. Cork, Ireland / NSilico Life Science Ltd. Cork, Ireland.
Oswaldo Cruz Foundation. Evandro Chagas National Institute of Infectious Diseases. Laboratory of Clinical Research on STD/AIDS. Rio de Janeiro, RJ, Brazil.
NSilico Life Science Ltd. Cork, Ireland / Cork Institute of Technology. Cork, Ireland.
NSilico Life Science Ltd. Cork, Ireland / Cork Institute of Technology. Cork, Ireland.
School of Biochemistry and Cell Biology. University College Cork. Cork, Ireland / Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry. Moscow, Russia.
NSilico Life Science Ltd. Cork, Ireland.
NSilico Life Science Ltd. Cork, Ireland / Cork Institute of Technology. Cork, Ireland.
Oswaldo Cruz Foundation. Evandro Chagas National Institute of Infectious Diseases. Laboratory of Clinical Research on STD/AIDS. Rio de Janeiro, RJ, Brazil.
NSilico Life Science Ltd. Cork, Ireland / Cork Institute of Technology. Cork, Ireland.
NSilico Life Science Ltd. Cork, Ireland / Cork Institute of Technology. Cork, Ireland.
School of Biochemistry and Cell Biology. University College Cork. Cork, Ireland / Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry. Moscow, Russia.
NSilico Life Science Ltd. Cork, Ireland.
NSilico Life Science Ltd. Cork, Ireland / Cork Institute of Technology. Cork, Ireland.
Resumo em Inglês
One of the key challenges for transcriptomics-based research is not only the processing of large data but also modeling the complexity of features that are sources of variation across samples, which is required for an accurate statistical analysis. Therefore, our goal is to foster access for wet lab researchers to bioinformatics tools, in order to enhance their ability to explore biological aspects and validate hypotheses with robust analysis. In this context, user-friendly interfaces can enable researchers to apply computational biology methods without requiring bioinformatics expertise. Such bespoke platforms can improve the quality of the findings by allowing the researcher to freely explore the data and test a new hypothesis with independence. Simplicity DiffExpress is a data-driven software platform dedicated to enabling non-bioinformaticians to take ownership of the differential expression analysis (DEA) step in a transcriptomics experiment while presenting the results in a comprehensible layout, which supports an efficient results exploration, information storage, and reproducibility. Simplicity DiffExpress' key component is the bespoke statistical model validation that guides the user through any necessary alteration in the dataset or model, tackling the challenges behind complex data analysis. The software utilizes edgeR, and it is implemented as part of the SimplicityTM platform, providing a dynamic interface, with well-organized results that are easy to navigate and are shareable. Computational biologists and bioinformaticians can also benefit from its use since the data validation is more informative than the usual DEA resources. Wet-lab collaborators can benefit from receiving their results in an organized interface. Simplicity DiffExpress is freely available for academic use, and it is cloud-based (https://simplicity.nsilico.com/dea).
Palavras-chave em inglês
RNA-seqData-driven
Differential expression analysis
Differential gene expression
EdgeR
Statistical modeling
Transcriptomics
Compartilhar