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Emotif uses which databases for alignment of sequences?

Emotif uses which databases for alignment of sequences? Correct Answer BLOCKS and PRINTS databases

Emotif is a motif database that uses multiple sequence alignments from both the BLOCKS and PRINTS databases with an alignment collection much larger than PROSITE. It identifies patterns by allowing fuzzy matching of regular expressions. Therefore, it produces fewer false negatives than PROSITE.

Related Questions

The resulting tree is then used to guide the alignment of the most closely related sequences and groups of sequences. The resulting alignment is a global alignment produced by the Needleman-Wunsch algorithm.
Progressive alignment methods use the dynamic programming method to build an MSA starting with the most related sequences and then progressively adding less related sequences or groups of sequences to the initial alignment.
Study the following information carefully and answer the questions that follows. 5 persons Anil, Bhagat, Ishan, Deepak and Parmish use 5 different apps namely, WhatsApp, Instagram, Twitter, Facebook and LinkedIn. They all wear different brands of shoes namely, Adidas, Reebok, Nike, Puma and Vans. The person who wears Puma shoes does not uses Facebook. Parmish wear Nike shoes and uses LinkedIn app. Anil who wear Adidas shoes but neither uses Facebook nor Twitter. Ishan neither wear Vans nor Puma shoes but he uses Twitter app. The person who uses WhatsApp doesn’t wear Adidas shoes. Bhagat uses Facebook app. Deepak wear which shoes brand, and also determine who uses Instagram?
The main application of pairwise alignment is retrieving biological sequences in databases based on similarity.
The predefined alignment requiring method also depends on the quality of the input alignment. If there ___ errors in the alignment, covariation signals ____ detected.
In case of the varying alignment, penalizing gaps heavily might occur. Then the best scoring local alignment between the sequences will be one that optimizes the score between matches and mismatches, without any gaps.
Who suggested that the global alignment scores between unrelated protein sequences followed the extreme value distribution, similar to local alignment scores? And when?
The major drawback of the progressive and iterative alignment strategies is that they are largely global alignment based and may therefore fail to recognize conserved domains and motifs among highly divergent sequences of varying lengths.
In protein/domain analysis, each protein in the predicted proteome is again used as a query of a curated protein sequence database such as ____ in order to locate similar domains and sequences. To find orthologs, very low E value scores (E<10<20) for the alignment score and an alignment that includes 60–80% of the query sequence are generally required in order to avoid matches to paralogs.
The degree of sequence variation in the alignment reveals evolutionary relatedness of different sequences, whereas the conservation between sequences reflects the changes that have occurred during evolution in the form of substitutions, insertions, and deletions.