Search for: All records

Abstract The problem of sequence identification or matching—determining the subset of reference sequences from a given collection that are likely to contain a short, queried nucleotide sequence—is relevant for many important tasks in Computational Biology, such as metagenomics and pangenome analysis. Due to the complex nature of such analyses and the large scale of the reference collections a resource-efficient solution to this problem is of utmost importance. This poses the threefold challenge of representing the reference collection with a data structure that is efficient to query, has light memory usage, and scales well to large collections. To solve this problem, we describe an efficientcolored de Bruijngraph index, arising as the combination of ak-mer dictionary with a compressed inverted index. The proposed index takes full advantage of the fact that unitigs in the colored compacted de Bruijn graph aremonochromatic(i.e., allk-mers in a unitig have the same set of references of origin, orcolor). Specifically, the unitigs are kept in the dictionary in color order, thereby allowing for the encoding of the map fromk-mers to their colors in as little as 1 +o(1) bits per unitig. Hence, one color per unitig is stored in the index with almost no space/time overhead. By combining this property with simple but effective compression methods for integer lists, the index achieves very small space. We implement these methods in a tool called , and conduct an extensive experimental analysis to demonstrate the improvement of our tool over previous solutions. For example, compared to —the strongest competitor in terms of index space vs. query time trade-off— requires significantly less space (up to 43% less space for a collection of 150,000Salmonella entericagenomes), is at least twice as fast for color queries, and is 2–6$$\times$$ $\times$faster to construct. 

This book constitutes the refereed proceedings of the 27th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2023, held in Istanbul, Turkey, from April 16–19, 2023. The 11 regular and 33 short papers presented in this book were carefully reviewed and selected from 188 submissions. The papers report on original research in all areas of computational molecular biology and bioinformatics.