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Dawood B. Dudekula

Researcher at National Institutes of Health

Publications -  33
Citations -  4411

Dawood B. Dudekula is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Gene & Cellular differentiation. The author has an hindex of 23, co-authored 30 publications receiving 3684 citations.

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CircInteractome: A web tool for exploring circular RNAs and their interacting proteins and microRNAs

TL;DR: A new web tool, CircInteractome (circRNA interactome), is presented, freely accessible at http://circinteractome.nia.nih.gov, for mapping RBP- and miRNA-binding sites on human circRNAs.
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The status, quality, and expansion of the NIH full-length cDNA project: The Mammalian Gene Collection (MGC)

Daniela S. Gerhard, +118 more
- 01 Oct 2004 - 
TL;DR: Comparison of the sequence of the MGC clones to reference genome sequences reveals that most cDNA clones are of very high sequence quality, although it is likely that some cDNAs may carry missense variants as a consequence of experimental artifact, such as PCR, cloning, or reverse transcriptase errors.
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Identification of HuR target circular RNAs uncovers suppression of PABPN1 translation by CircPABPN1.

TL;DR: It is proposed that the extensive binding of CircPABPN1 to HuR prevents HuR binding to P ABPN1 mRNA and lowers PABPN1 translation, providing the first example of competition between a circRNA and its cognate mRNA for an RBP that affects translation.
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Age-associated alteration of gene expression patterns in mouse oocytes

TL;DR: A group of new oocyte-specific genes, members of the human NACHT, leucine-rich repeat and PYD-containing (NALP) gene family are identified and characterized, suggesting the existence of additional mechanisms for aging.
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A web-based tool for principal component and significance analysis of microarray data

TL;DR: A program for microarray data analysis, which features the false discovery rate for testing statistical significance and the principal component analysis using the singular value decomposition method for detecting the global trends of gene-expression patterns.