Ashok Rajaraman

TL;DR: The authors investigated the genomic basis of vectorial capacity and explore new avenues for vector control, sequenced the genomes of 16 anopheline mosquito species from diverse locations spanning ~100 million years of evolution Comparative analyses show faster rates of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses, relative to Drosophila.

TL;DR: ANGES is a suite of Python programs that allows reconstructing ancestral genome maps from the comparison of the organization of extant-related genomes, implements methods inspired from techniques developed to compute physical maps of extant genomes.

TL;DR: It is shown that computational paleogenomics methods aimed at reconstructing the organization of ancestral genomes from the comparison of extant genomes can be adapted to correct, order and orient ancient bacterial contigs.

TL;DR: In this article, the authors describe genome assembly problems as a general problem of covering a hypergraph by linear and circular walks, where vertices represent sequence elements, repeated sequences are modelled by assigning a multiplicity to vertices, and edges represent co-localization information.

TL;DR: This work demonstrates that the inclusion of synteny-level information can help to obtain better gene-level reconstructions, and provides a basic toolbox for reconstructing ancestral gene orders with duplications.