Sentence examples for core data structure from inspiring English sources

An inverted index is a core data structure of Information Retrieval systems, especially in search engines.

Because our core data structure sizes are preallocated based on estimates of the unique k-mer content of the data, we also provide fast and low-memory k-mer cardinality estimation via the script unique-kmers.py.py

The core data structure represents the protein coding gene annotation of both organisms, and further defines aggregate nodes by e.g. grouping genes according to gene assignment to clusters of orthologous groups (COG) [ 47].

The core data structure of the STCS is the patient-case system, a framework that reflects the post-transplant patient process involving a multitude of information on patients and allografts, including function and interventions from transplantation until end of follow-up (Fig.  1).

The HapCompass model defined in Aguiar and Istrail (2012) is composed of the compass graph G C core data structure, which summarizes the rows of M using edges weights and the MWER optimization that aims to remove a minimum weighted set of edges from G C such that a unique phasing may be constructed.

Looking ahead at the syllabus, the next few weeks will involve reasoning about functions and immutable objects, core data structures in Scala and utilising functional techniques such as pattern matching.

The second is a more substantial development for Avogadro version 2.0, where many of the core data structures are being rewritten in order to offer greater flexibility and scalability.

Mayday provides efficient core data structures as well as a powerful plugin management system which allows for fast extension via custom plugins.

Pillars are the core data structures used to store homology assignments across all species [ 20].

Pillars are the core data structures used to store list of homologies across all species represented in the gene order browser [ 20].

The developed data model provides adapters that can translate the input data from the different source files into the core data structures, enabling the support of widely used formats (Supplementary information, Table S1).