Computing Molecular Devices in L.major through Transcriptome Analysis: Structured Simulation Approach.
Ontology highlight
ABSTRACT: In the modern era of post genomics and transcriptomics, non-coding RNAs and non-coding regions of many RNAs are a big puzzle when we try deciphering their role in specific gene function. Gene function assessment is a main task wherein high throughput technologies provide an impressive body of data that enables the design of hypotheses linking genes to phenotypes. Gene knockdown technologies and RNA-dependent gene silencing are the most frequent approaches to assess the role of key effectors in a particular scenario. Ribozymes are effective modulators of gene expression because of their simple structure, site-specific cleavage activity, and catalytic potential. In our study, after an extensive transcriptomic search of Leishmania major transcriptome we found a Putative ATP dependent DNA heli
SUBMITTER: Bejugam PR
PROVIDER: S-EPMC4768835 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
ACCESS DATA