Biology has become a data-intensive research field. A large amount of data is from new genome sequencing technologies. The motif recognition problem takes as input a set of known patterns or features that in some way define a class of proteins. The goal is then to search in an unsupervised or supervised way for other instances of the same patterns. The known motifs in biological sequences are generally compiled databases that are publically available over the Internet. The motifs contained in these resources are generally manually curated and the entries in the databases include extensive documentation of the specific biological function associated with the sites. ComputaBio is proud to provide the best protein motif discovery services to our clients.
Given a set of functionally related sequences, the main aim of motif discovery algorithms is to find new and a priori unknown motifs that are frequent, unexpected, or interesting according to some formal criteria. The methods used to discover such motifs follow the same general schema, as shown in Figure 1. They can be grouped into two main categories: alignment‐based methods and methods that search for motifs in unaligned sequences.
Figure 1. General motif discovery process.
|Project name||Motif Discovery Services in Protein Sequences|
|Samples requirements||Our motif discovery services in protein sequences requires you to provide specific requirements.|
|Detection cycle||Decide according to your needs.|
|Service including||We provide you with raw data and analysis service.|
ComputaBio provides corresponding motif discovery services in protein sequences. Our services provides result that it is very useful for understanding the biochemical basis of physiological events. Our expert team can choose the most suitable analysis method for you, so you don't have to worry about technical issues. The ComputaBio team has been working in this field for more than ten years and has published his findings in top scientific journals.