GROSS
发表于 2025-3-25 06:39:55
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Fraudulent
发表于 2025-3-25 08:58:32
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Mosaic
发表于 2025-3-25 11:46:09
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
发表于 2025-3-25 18:50:45
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
发表于 2025-3-25 23:35:08
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
发表于 2025-3-26 01:57:34
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
发表于 2025-3-26 07:57:12
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
发表于 2025-3-26 11:41:18
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Pulmonary-Veins
发表于 2025-3-26 14:30:00
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
JOG
发表于 2025-3-26 18:51:47
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