@article{fdi:010080162,
  title = {{D}uplication{D}etector, a light weight tool for duplication detection using {NGS} data},
  author = {{D}jedatin, {G}. and {M}onat, {C}. and {E}ngelen, {S}. and {S}abot, {F}ran{\c{c}}ois},
  editor = {},
  language = {{ENG}},
  abstract = {{D}uplications are one on the main evolutionary forces in angiosperm, especially in {P}oaceae. {A} large number of genes involved in various metabolisms and pathways originate from such duplications (whole genome, segmental or single gene). {H}owever, to detect such duplication may be complicated, costly and generally requires heavy human and material investments. {H}ere, we propose an alternative approach for detecting putative recent segmental duplications in haploid or diploid homozygous organisms based on {NGS} data. {W}e rely on abusive mappings of paralogous sequences that increase apparent heterozygous points at a given locus to identify such duplicated genomic regions. {W}e test our tool on simulated data, then on truerice genomic sequences and were able to identify about 200 candidate duplicated genes in {A}frican rice ({O}ryza glaberrima) lineage compared to {A}sian one ({O}. sativa).},
  keywords = {{AFRIQUE} {SUBSAHARIENNE} ; {ASIE}},
  booktitle = {{P}lant development},
  journal = {{C}urrent {P}lant {B}iology},
  volume = {9-10},
  numero = {{N}o sp{\'e}cial},
  pages = {23--28},
  ISSN = {2214-6628},
  year = {2017},
  DOI = {10.1016/j.cpb.2017.07.001},
  URL = {https://www.documentation.ird.fr/hor/fdi:010080162},
}