Structured sequences emerge from random pool when replicated by templated ligation

Structured Semantic Knowledge Can Emerge Automatically from Predicting Word Sequences in Child-Directed Speech

Previous research has suggested that distributional learning mechanisms may contribute to the acquisition of semantic knowledge. However, distributional learning mechanisms, statistical learning, and contemporary "deep learning" approaches have been criticized for being incapable of learning the kind of abstract and structured knowledge that many think is required for acquisition of semantic kn...

Random generation of structured genomic sequences

Random sequences are very useful in bioinformatics. According to a very powerful paradigm, they represent the “background noise” from which the actual biological information must differentiate. For example, random sequences are widely used in order to detect overand under-represented motifs, or to determine whether scores of pairwise alignments are relevant. Analytic approaches do exist for the...

RNA-templated DNA ligation for transcript analysis.

Ligase-mediated gene detection has proven valuable for detection and precise distinction of DNA sequence variants. We have recently shown that T4 DNA ligase can also be used to distinguish single nucleotide variants of RNA sequences. Here we describe parameters that influence RNA-templated DNA ligation by T4 DNA ligase. The reaction proceeds much more slowly, requiring more enzyme, compared to ...

Isolation of new ribozymes from a large pool of random sequences [see comment].

An iterative in vitro selection procedure was used to isolate a new class of catalytic RNAs (ribozymes) from a large pool of random-sequence RNA molecules. These ribozymes ligate two RNA molecules that are aligned on a template by catalyzing the attack of a 3'-hydroxyl on an adjacent 5'-triphosphate--a reaction similar to that employed by the familiar protein enzymes that synthesize RNA. The co...

Poems structured by integer sequences