CATO: The Clone Alignment Tool
نویسندگان
چکیده
High-throughput cloning efforts produce large numbers of sequences that need to be aligned, edited, compared with reference sequences, and organized as files and selected clones. Different pieces of software are typically required to perform each of these tasks. We have designed a single piece of software, CATO, the Clone Alignment Tool, that allows a user to align, evaluate, edit, and select clone sequences based on comparisons to reference sequences. The input and output are designed to be compatible with standard data formats, and thus suitable for integration into a clone processing pipeline. CATO provides both sequence alignment and visualizations to facilitate the analysis of cloning experiments. The alignment algorithm matches each of the relevant candidate sequences against each reference sequence. The visualization portion displays three levels of matching: 1) a top-level summary of the top candidate sequences aligned to each reference sequence, 2) a focused alignment view with the nucleotides of matched sequences displayed against one reference sequence, and 3) a pair-wise alignment of a single reference and candidate sequence pair. Users can select the minimum matching criteria for valid clones, edit or swap reference sequences, and export the results to a summary file as part of the high-throughput cloning workflow.
منابع مشابه
CATO - A Lightweight Ontology Alignment Tool
Ontologies are becoming increasingly common in the World Wide Web as the building block for a future Semantic Web. In this Web, ontologies will be responsible for making the semantics of pages and applications explicit, thus allowing electronic agents to process and integrate resources automatically. With the widespread, distributed use of ontologies, different parties will inevitably develop o...
متن کاملTaxonomic Ontology Alignment - an Implementation
With the evolution of the Web evolving towards the Semantic Web, where the information should be presented in a meaningful way for both humans and machines, arises the need for semantic interoperability. By interoperability we understand the use of meaningful representation mechanisms that allow for information exchange among agents. There is a consensus that ontologies will be this representat...
متن کاملTeaching Case-Based Argumentation through a Model and Examples Empirical Evaluation of an Intelligent Learning Environment
CATO is an intelligent learning environment, designed to help beginning law students learn basic skills of making arguments with cases. Working with CATO, students outline written arguments about legal problems, supported by cites to cases selected from CATO’s database. CATO employs an abstract model of case-based legal argument to generate argumentation examples dynamically in the context of t...
متن کاملHow Different Is Different? Arguing About the Significance of Similarities and Differences
Our instructional program, CATO, uses a model of case-based legal argument to teach law students basic skills of making arguments with cases. CATO represents abstract knowledge about the meaning of the similarities and differences between cases in a Factor Hierarchy, in which the ‘factors’ used to represent case facts are linked to higher level concerns and legal issues. The Factor Hierarchy en...
متن کاملBioinformatics in molecular immunology laboratories demonstrated: Modeling an anti-CMV scFv antibody
A scFv (single chain variable fragment) antibody clone from anti-CMV (anti-cucumber mosaic virus) was successfully constructed from immunized mouse and the DNA sequence was submitted to GenBank (AY337618 and AY337619). The expression of a 32 kDa recombinant antibody in bacteria was verified using ELISA (enzyme-linked immunoassay) and western blot. However, elucidation of specific anti-CMV scFv ...
متن کامل