(Q41100070)

26 September 2017

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title

Escherichia coli promoter sequences: analysis and prediction (English)

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26 September 2017

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Hertz GZ

1

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26 September 2017

Stormo GD

series ordinal

2

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26 September 2017

language of work or name

English

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publication date

1 January 1996

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26 September 2017

published in

Methods in Enzymology

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26 September 2017

volume

273

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26 September 2017

page(s)

30-42

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Factor Stimulating Transcription by RNA Polymerase

26 September 2017

cites work

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Positive control of transcription initiation in bacteria

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Analysis of E. coli promoter sequences

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Use of the ‘Perceptron’ algorithm to distinguish translational initiation sites inE. coli

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Search algorithm for pattern match analysis of nuleic add sequences

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Computer methods to locate signals in nucleic acid sequences

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Escherichia colipromoter sequences predictin vitroRNA polymerase selectivity

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Quantitative analysis of the relationship between nucleotide sequence and functional activity

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Quantitative analysis of ribosome binding sites in E.coli

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Selection of DNA binding sites by regulatory proteins. Statistical-mechanical theory and application to operators and promoters.

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Escherichia colipromoters: neural networks develop distinct descriptions in learning to search for promoters of different spacing classes

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7 January 2021

An assessment of neural network and statistical approaches for prediction of E. coli promoter sites

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Expectation maximization algorithm for identifying protein-binding sites with variable lengths from unaligned DNA fragments

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Hierarchies of base pair preferences in the P22 ant promoter

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E. coli promoter spacer regions contain nonrandom sequences which correlate to spacer length

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Factor independent activation of rrnB P1. An "extended" promoter with an upstream element that dramatically increases promoter strength

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Promoter selectivity of the stationary-phase forms of Escherichia coli RNA polymerase and conversion in vitro of the S1 form enzyme into a log-phase enzyme like form

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7 January 2021

Promoter determinants for Escherichia coli RNA polymerase holoenzyme containing sigma 38 (the rpoS gene product)

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7 January 2021

An expectation maximization (EM) algorithm for the identification and characterization of common sites in unaligned biopolymer sequences.

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Hidden Markov models in computational biology. Applications to protein modeling

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Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment

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7 January 2021

Information content of binding sites on nucleotide sequences

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7 January 2021

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Identifiers

DOI

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26 September 2017

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