Metagenomics is a segment of conventional microbial genomics dedicated to the
sequencing and analysis of combined genomic DNA of entire environmental samples. The …

Over the past 20 years, tremendous advances in sequencing technologies and
computational algorithms have spurred plant genomic research into a thriving era with …

With the rapid global spread of COVID-19, more and more data related to this virus is
becoming available, including genomic sequence data. The total number of genomic …

Computational pangenomics is an emerging research field that is changing the way
computer scientists are facing challenges in biological sequence analysis. In past decades …

Pattern searches, a key operation in many data analytic applications, often deal with data
represented by multiple states per dimension. However, hash tables, a common software …

High-quality genome chromosome-scale sequences provide an important basis for
genomics downstream analysis, especially the construction of haplotype-resolved and …

Third-generation sequencing has penetrated little in metagenomics due to the high error
rate and dependence for assembly on short-read designed bioinformatics. However, second …

Next-generation sequencing–based metagenomics has enabled to identify microorganisms
in characteristic habitats without the need for lengthy cultivation. Importantly, clinically …

Purpose: This study aimed to investigate the big data analytics capabilities (BDAC) model
using resource-based theory (RBT) and dimensions of big data analytics (management …

Metagenomic workflows involve studying uncultured microorganisms directly from the
environment. These environmental samples when processed by modern sequencing …