Abstract: Systems and methods to enable representation of sequence as well as structural information of an RNA molecule in the form of a single encoded string are described. The encoding steps are based on identifying one or more contiguous stretches of ribonucleotide bases having similar structural attributes and base-pairing patterns. In the encoded string, each of the identified contiguous structure stretches is represented by a single character that indicates the corresponding structural attribute. Appending these structural characters to the corresponding contiguous ribonucleotide character stretches, and subsequently eliminating redundant ribonucleotide characters based on standard base-pairing rules results in generating the final encoded string. Such concomitant representation of sequence and structural information of a given RNA molecule in a single encoded string enables efficient storage and easy dissemination of RNA data.

Abstract: Method(s) for identifying rDNA sequences from a sample containing plurality of unknown DNA sequences are described herein. The method includes selecting one or more target clusters, from a plurality of reference clusters, corresponding to the query sequence. The target clusters are selected based on a composition based analysis. A proportion of probable rDNA clusters from the target clusters is identified. Based on the proportion of the probable rDNA clusters, the query sequence is identified as an rDNA.

Abstract: Systems and methods to enable representation of sequence as well as structural information of an RNA molecule in the form of a single encoded string are described. The encoding steps are based on identifying one or more contiguous stretches of ribonucleotide bases having similar structural attributes and base-pairing patterns. In the encoded string, each of the identified contiguous structure stretches is represented by a single character that indicates the corresponding structural attribute. Appending these structural characters to the corresponding contiguous ribonucleotide character stretches, and subsequently eliminating redundant ribonucleotide characters based on standard base-pairing rules results in generating the final encoded string. Such concomitant representation of sequence and structural information of a given RNA molecule in a single encoded string enables efficient storage and easy dissemination of RNA data.

Abstract: Method(s) and system(s) for identifying marker features of various subsets of a multi-dimensional data are provided. Each subset includes various data points associated with various features. Each of the data points are defined by feature values corresponding to the associated features. The method includes identifying feature pairs based on a matrix of the data points and the features, and computing correlation distances between features in each of the feature pairs. The method includes generating a non-linear pattern of the plurality of features in a two-dimensional plane. Additionally, the method includes calculating a threshold feature value for the associated features of the data points of a particular subset and representing the threshold feature value as a threshold non-linear pattern in the two-dimensional plane. The method includes determining the marker features based on a relative position of the features with respect to the threshold feature value in the two-dimensional plane.

Abstract: Method(s) and system(s) for identifying marker features of various subsets of a multi-dimensional data are provided. Each subset includes various data points associated with various features. Each of the data points are defined by feature values corresponding to the associated features. The method includes identifying feature pairs based on a matrix of the data points and the features, and computing correlation distances between features in each of the feature pairs. The method includes generating a non-linear pattern of the plurality of features in a two-dimensional plane. Additionally, the method includes calculating a threshold feature value for the associated features of the data points of a particular subset and representing the threshold feature value as a threshold non-linear pattern in the two-dimensional plane. The method includes determining the marker features based on a relative position of the features with respect to the threshold feature value in the two-dimensional plane.

Abstract: Method(s) for identifying a taxon corresponding to a query sequence are described herein. The method includes selecting a target cluster, from amongst a plurality of reference clusters, corresponding to the query sequence. The target cluster may be selected based on a composition based analysis. A similarity based analysis of the query sequence is performed with respect to the target cluster. From the target cluster, the taxon corresponding to the query sequence is identified based on the similarity based analysis.

Abstract: Method(s) for identifying rDNA sequences from a sample containing plurality of unknown DNA sequences are described herein. The method includes selecting one or more target clusters, from a plurality of reference clusters, corresponding to the query sequence. The target clusters are selected based on a composition based analysis. A proportion of probable rDNA clusters from the target clusters is identified. Based on the proportion of the probable rDNA clusters, the query sequence is identified as an rDNA.