Everything on bioinformatics, the science of information technology as applied to biological research.
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We wish to share RNAcon, a web-server for the prediction and classification of non-coding RNAs. It uses SVM-based model for the discrimination between coding and ncRNAs and RandomForest-based prediction model for the classification of ncRNAs into different classes. The structural information based graph properties were used for the development of prediction model.
Non-coding RNA (ncRNA) is just RNA that doesn't code for protein. Historically the "Central Dogma" defines a process of protein creation that goes from DNA --> RNA --> Protein in the cell. All ncRNA stops before being translated to protein.So non-coding RNA is usually split up into two categories: long and short. How long and how short is usually debatable but long non-coding RNA (lncRNA) is usually defined to be > 200 nt. Historically, much of the genome and transcriptome was thought to be "junk." In fact you will often hear the term "junk DNA." Recently, however, that thought paradigm is shifting and a lot of new types of mechanisms are being discovered that utilize ncRNA transcribed from DNA that was previously thought to be "junk." It's probably more helpful to see examples of both short and long ncRNA .
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