Titlebook: Bioinformatics of Genome Regulation and Structure II; Nikolay Kolchanov,Ralf Hofestaedt,Luciano Milanesi Book 2006 Springer-Verlag US 2006

GROSS

Fraudulent

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Mosaic

Key Element: Si / Schlüsselelement: Si There are some local inhomogeneities in its electrostatic profile, which correlate with promoter sequences. Electrostatic patterns of promoter DNAs can be specified due to the presence of some distinctive motifs that may be involved as promoter signal elements in RNA-polymerase-promoter recognition.

种族被根除

Key Element: Si / Schlüsselelement: Si genes but are unable to recognize relatively short coding fragments. Genome alignments and study of synonymous and non-synonymous substitutions give a chance to overcome this drawback. Our aim is to propose a criterion to distinguish short coding and non-coding fragments of genome alignment and to

Overstate

Key Element: Si / Schlüsselelement: SiPlatProm takes into consideration both the sequence-specific and structure-specific features in the genetic environment of the promoter sites and identifies transcription start points with a very high accuracy. The whole genome scanning by PlatProm along with the expected promoters upstream of the a

Aura231

Key Element: Si / Schlüsselelement: Sianeous deamination. This leaves different footprints on coding and non-coding sequences. We capture these different fingerprints by five indices that can be used to discriminate between coding and non-coding (intron) sequences. We also show that a linear discriminant function derived from a training

biopsy

Key Element: Si / Schlüsselelement: Siukaryotic genes and in genome annotation. We propose a SiteGA method for recognition of TFBSs, providing the search of SF-1 binding sites as an example. The SiteGA method was implemented using a genetic algorithm (GA) involving an iterative discriminant analysis of local dinucleotide context charact

Oscillate

Pulmonary-Veins

Key Element: Si / Schlüsselelement: Sieir DNA-binding domains obtained from . selected sequences. Current release of the database comprises 420 matrices describing specific features of binding sites or their DNA-binding domains for over 200 transcription factors. The matrices were constructed basing on alignments of representative sampl

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