Query: title:(Characterization of prokaryotic and eukaryotic promoters using hidden Markov models), Author: Pedersen

About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

DTU Findit

Recent

title:(Characterization of prokaryotic and eukaryotic promoters using hidden Markov models) Author: Pedersen

Boolean:	`(bicycle AND helmet) OR (head AND protection)` (always group AND in parenthesis)
Title:	`title:(climate change)`
Author:	`author:("bohr niels" OR "bohr n")` (avoid only full first name)
Phrase:	`"water pump control"` (does not work with wildcards)
Wildcards:	`wom?n pharm*`

More help on how to search

Flexible matching

About search syntax

Search syntax Advanced

Close advanced

By field Using AND/OR By author

Types Article Book Journal Thesis Data Other

All

Title

Year

Abstract

Journal

Author

Supervisor

ORCID

ISSN

ISBN

DOI

This tool can help you build boolean queries suitable for doing a broad search for different synonyms or spellings of each word. Start via the drop-down below or just start typing in the search field.

{{ row.typeTitle }}: ( )

Since our index often lack the full first name of people it can be difficult to correctly search by author.

Fill in the fields and let us help you build a good query:

Last name

All complete first names

ORCID

Starting year

If you need to find everything possible, consider only searching by last name.

Use "Starting year" to ignore publications out of year range.

Author: Pedersen remove

DTU

Filter results...

Interpreted as:

title:(Characterization AND of AND prokaryotic AND and AND eukaryotic AND promoters AND using AND hidden AND Markov AND models)

Suggestions: Include records that partially match the query

Previous 1 - 2 of 2 Next

Export

10 items by relevance

1 Journal article

Characterization of prokaryotic and eukaryotic promoters using hidden Markov models

Pedersen, A G; Baldi, P; Brunak, S; Chauvin, Y

Proceedings. International Conference on Intelligent Systems for Molecular Biology — 1996, Volume 4, pp. 182-191

In this paper we utilize hidden Markov models (HMMs) and information theory to analyze prokaryotic and eukaryotic promoters. We perform this analysis with special emphasis on the fact that promoters are divided into a number of different classes, depending on which polymerase-associated factors

Year: 1996

Language: English

More...

npf a ocmih gjlbdek

2 Conference paper

Characterization of prokaryotic and eukaryotic promoters using hidden Markov models