MAVL/StickWRLD for protein: visualizing protein sequence families to detect non-consensus features.

ABSTRACT: A fundamental problem with applying Consensus, Weight-Matrix or hidden Markov models as search tools for biosequences is that there is no way to know, from the model, if the modeled sequences display any dependencies between positional identities. In some instances, these dependencies are crucial in correctly accepting or rejecting other sequences as members of the family. MAVL (multiple alignment variation linker) and StickWRLD provide a web-based method to visually survey the model-training sequences to discover and characterize possible dependencies. Initially introduced for nucleic acid sequences, with MAVL/StickWRLD, it is easy to distinguish typical DNA or RNA structural dependencies in input families, identify mixed populations of distinct subfamilies, or discover novel dependencies

SUBMITTER: Ray WC 

PROVIDER: S-EPMC1160135 | biostudies-literature | 2005 Jul

REPOSITORIES: biostudies-literature