Work

Novel Gene Discovery in the Human Malaria Parasite using Nucleosome Positioning Data.

Year: 2010

Type: conference-paper

Abstract: using nucleosome positioning inferred from MAINE-seq data. We rely on a classifier trained on the nucleosome landscape profiles of experimentally verified genes, and then used to discover new genes (without considering the primary DNA sequence). Cross-validation experiments show that our classifier is very accurate. About two thirds of the locations reported by the classifier match experimentally determined expressed sequence tags in GenBank, for which no gene has been annotated in the human malaria parasite.

Source: PubMed

Authors: N Pokhriyal, N Ponts, E Y Harris, K G Le Roch, S Lonardi

Institution: University of California, Riverside

Language: English

Topic: Genomics and Chromatin Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funder: National Institute of Allergy and Infectious Diseases

Award: Understanding the Role of Nucleosome Turnover in the Malaria Parasite

OpenAlex ID: W2418202225

FWCI:

Cites: 33

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Related to: 10