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Along with information about sequence complexity, LCR-eXXXplorer displays external annotations from UniProt, as well as predicted disordered and binding regions by utilizing IUPRED (Dosztányi et al., 2005) and ANCHOR (Dosztányi et al., 2009; Mészáros et al., 2009) respectively.
Their approach, called Global Biochemical Reconstruction Using Sampling (GLOBUS), combines information about sequence homology with context-specific information including phylogeny, gene clustering, and mRNA co-expression to predict the probability of biochemical interactions between specific genes.
It collects information about sequence features, motifs and catalytic sites from available Distributed Annotation System (DAS) resources.
Authors submitting information about sequence variants will be responsible for finding out if the newly sequenced form is the same as any previously reported sequence variant or allele.
We present a method to integrate information about sequence, ChIP-Chip experiment and histone modification.
Another approach to improving TFBS prediction accuracy has been to incorporate information about sequence conservation.
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In practice, examining the cross-correlation plots and the continuously distributed NSC and RSC values and using those together with information about sequencing depth and library complexity are always more informative and can provide valuable nuances for understanding specific datasets.
From the respective websites, information about sequencing and analysis approaches used by the various laboratories were rarely obvious and sometimes unstated.
Ignoring these clusters is not a good option as they may contain information about sequences with distinctive characteristics.
If the dominant framework accurately describes spatial microgenesis, we should not expect any participants to acquire much metric knowledge about distances and directions; it is questionable if they would even acquire much information about sequences of places along routes.
Furthermore, the PCA analysis of the features has proven that the features which encapsulate comprehensive information about sequences help better segregation of training examples and enhances their correlation with the features under study.
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