Ten years of next-generation sequencing technology.

By E. van Dijk, Hélène Auger, Y. Jaszczyszyn, C. Thermes. Trends in Genetics, 2014

1,529 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

The sequence of sequencers: The history of sequencing DNA (2016, methodology): “PacBio machines are also capable of producing incredibly long reads, up to and exceeding 10 kb in length, which are useful for de novo genome assemblies [73,81].”
Scaling accurate genetic variant discovery to tens of thousands of samples (2017, background): “Next-generation sequencing technologies combined with large population cohorts are facilitating the identiﬁcation of rare allelic variants for population 1 and medical genetic studies [18, 4, 25, 14].”
DEOGEN2: prediction and interactive visualization of single amino acid variant deleteriousness in human proteins (2017, background): “(1) The user starts to enter a Uniprot ID or sequence, which activates a dropdown list”
CPGView: A package for visualizing detailed chloroplast genome structures (2023, methodology): “If l adj_g is greater than l g , we use Formulas (van Dijk et al., 2014) and (Sandhya et al., 2020) to adjust the start and end positions of all exons: In Formula (1), q is the start or end position of an exon after local scaling.”