PPO: Predictor for Prokaryotic Operons
نویسندگان
چکیده
منابع مشابه
DOOR: a database for prokaryotic operons
We present a database DOOR (Database for prOkaryotic OpeRons) containing computationally predicted operons of all the sequenced prokaryotic genomes. All the operons in DOOR are predicted using our own prediction program, which was ranked to be the best among 14 operon prediction programs by a recent independent review. Currently, the DOOR database contains operons for 675 prokaryotic genomes, a...
متن کاملDetecting uber-operons in prokaryotic genomes
We present a study on computational identification of uber-operons in a prokaryotic genome, each of which represents a group of operons that are evolutionarily or functionally associated through operons in other (reference) genomes. Uber-operons represent a rich set of footprints of operon evolution, whose full utilization could lead to new and more powerful tools for elucidation of biological ...
متن کاملSp R I I - Ppo I I - Ppo I I - Ppo Subcloning of the two BAC inserts Linearisation with I - I Ppo BAC 1
Background: BAC clones containing entire mammalian genes including all the transcribed region and long range controlling elements are very useful for functional analysis. Sequenced BACs are available for most of the human and mouse genomes and in many cases these contain intact genes. However, large genes often span more than one BAC, and single BACs covering the entire region of interest are n...
متن کاملComparison of Solubilization of Hydrocarbons in (PEO-PPO) Diblock versus (PEO-PPO-PEO) Triblock Copolymer Micelles
The solubilization of hydrocarbons by micelles formed of diblock and symmetric triblock copolymers in water are compared in the framework of a mean-field theory of solubilization. The block copolymers contain poly(ethylene oxide) as the hydrophilic block and poly(propylene oxide) as the hydrophobic block and are designated as EXPYEX or EWPZ (where E and P denote ethylene and propylene oxides an...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2010
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btq601