PuSH - Publikationsserver des Helmholtz Zentrums München: Protein annotation at genomic scale: the current status.

Informationen

Hinweise zu Qualitätskriterien von Zeitschriften

Open-Access-Richtlinie der Helmholtz-Gemeinschaft 2016

CC Licencences

Metriken für Publikationen

Navigation

Startseite

English

EVA: Veröffentlichen

Neuer EVA Antrag

Recherche

Erweiterte Suche

Durchblättern nach ...

... HMGU-Autoren/Konsortien

... Organisationsstruktur

... Zeitschriften

... Publikationstypen

... Forschungsdaten

... Arbeitsgruppen

... Erscheinungsjahr

Publikationen im Überblick

Statistik

HGF Fortschrittsbericht

OA Publikationen

Eintragen

Neue Publikation eintragen

Neue Publikation holen aus...

...EVA

Fehlende Publikation melden

Highlights

Suche

Hilfe & Kontakt

Ansprechpartner

Hilfe

Datenschutz

Helmholtz Open Science

Bibliometrische Indikatoren

SHERPA/RoMEO

DOAJ

Export:

Text

Endnote (RIS) BIB

BibTeX

Frishman, D.

Protein annotation at genomic scale: the current status.

Chem. Rev. 107, 3448-3466 (2007)

DOI

PMC

Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.

Abstract
Metriken
Zusatzinfos

Genomic sequence must be associated with the course of genome annotation for it to become useful and comprehensible. Annotation are notes that contain information about the cellular role and mechanism of action of genes and their products. However, they are both faced with quantitative and qualitative challenges. Quantitative in the sense that it is quite impossible to annotate all proteins with our available resources, while facing qualitative problem as there will be no experimental evidence to annotate. Thus, the current status of modern procedures that are used for manual genome annotation are presented. In addition, computational methods and software infrastructure are also discussed which are used for analyzing protein function. Processes on the reduction of error level of automatically generated annotation are also described. Lastly, problems in gene prediction with the focus on improving the quality of functional inference are also detailed.

Impact Factor

Scopus SNIP

Web of Science
Times Cited

Scopus
Cited By

Altmetric

26.054

12.809