Simple Summary This review examines the current state of cancer databases and identifies
key needs in the field. The analysis of 71 databases reveals a lack of dedicated lipidomic …

Data are the most important elements of bioinformatics: Computational analysis of
bioinformatics data, in fact, can help researchers infer new knowledge about biology …

Genomic data are growing at unprecedented pace, along with new protocols, update
polices, formats and guidelines, terminologies and ontologies, which are made available …

Background As biological data increase, we need additional infrastructure to share them
and promote interoperability. While major effort has been put into sharing data, relatively …

The human genome complexity is captured by many signals, representing for instance DNA
variations, the expression of gene activity, or DNA's structural rearrangements; a rich set of …

The human genome is traditionally represented as a DNA sequence of three billion base
pairs. However, its intricacies are captured by many more complex signals, representing …

Background Population variant analysis is of great importance for gathering insights into the
links between human genotype and phenotype. The 1000 Genomes Project established a …

Abstract Background Genome Wide Association Studies (GWAS) are based on the
observation of genome-wide sets of genetic variants–typically single-nucleotide …

In the oncological context, big data analyses are quite complex due to heterogeneous data
structures and varieties (Agarwala et al., 2018). The defining characteristic of precision …

High-throughput sequencing technologies have generated vast omics data annotating
genomic regions. A challenge arises in integrating this data because the associated …