![]() ![]() The analysis is performed on several sequences at a time the method The discovery method is based on advanced hidden Markov models. Process helps identify unknown sequence patterns across single or Helices and Beta-sheets (strands) based on Hidden Markov ModelĦ) Web-based prediction of signal peptides and their cleavage sites.ĩ) Reverse translation from protein to gene (a number of translationġ0) Interactive translations of DNA and RNA to protein (both singleġ2) Report of protein statistics (one or more proteins in each report).ġ3) Comprehensive report including a range of protein analyses in oneģ) Motif search with regular expressions Ĥ) Motif search with PorSite patterns andĥ) Pattern discovery (unknown patterns) - applying the Pattern Discovery In addition, 3D views can be exported to several types of graphics filesįor use in publications and reports, etc.ģ) Antigenicity - helps to identify antigenic regions in protein sequencesĤ) Secondary protein structure prediction - can be used to predict Alpha. Proteins can be viewed and navigated in the fully integrated 3D viewer ABI, and PHD filesģ) Molecular cloning - offers graphically advanced in silico cloning andĤ) Automatic SNP annotation of sequences.ĥ) Local complexity region analyses - you can calculate local complexityĦ) Reverse translation from protein to gene, based on translation tablesħ) Advanced restriction enzyme analysis and management.Ĩ) Dot plot based analyses - Dot plots provide an advanced visualĭot plots can also be used to compare two regions of similarity within aĩ) DNA statistics report including a number of characteristics of a givenġ0) National Center for Biotechnology Information (NCBI) sequenceġ) Integrated 3D molecule viewer - the 3 dimensional structures of ![]() Imported trimmed and assembled from automated sequencingĪ number of different file formats such as e.g.SCF. Symbolic representation of the secondary structure along the sequence.ġ) Editor for graphically and algorithmically advanced primer design.Ģ) Assembly of DNA sequence data - DNA sequence reads can be Product features a number of unique and innovative bioinformatics toolsįor supporting advanced biochemistry and molecular biology lab research.ĬLC Main Workbench features/capabilities include:ġ) Secondary structure prediction - uses a minimum free energy (MFE)Īpproach to predicting RNA secondary structure.Ģ) Graphical view and editing of secondary structure.ģ) Tabular view of structures and energy contributions - the tableĬontains a hierarchical display of the elements in the structure withĭetailed information about each element's energy contribution.Ĥ) Symbolic representation in sequence view - this is used to display a Protein Workbench, and CLC DNA Workbench, and CLC RNA Workbench. Note: this product replaces "CLC Combined Workbench."ĬLC Main Workbench includes all features and functions of CLC Category Cross-Omics>Sequence Analysis/ToolsĪbstract CLC Main Workbench creates a software environment enabling users to make a large number of advanced protein, DNA, and RNA sequence analysis, combined with smooth data management, and excellent graphical viewing and output options. ![]()
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