Data descriptor: Comprehensive transcriptome analysis of sarcophaga peregrina, a forensically important fly species

Ji Yeon Kim, Hye Young Lim, Sang Eon Shin, Hyo Kyeong Cha, Jeong Han Seo, Suel Kee Kim, Seong Hwan Park, Gi Hoon Son

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


Sarcophaga peregrina (flesh fly) is a frequently found fly species in Palaearctic, Oriental, and Australasian regions that can be used to estimate minimal postmortem intervals important for forensic investigations. Despite its forensic importance, the genome information of S. peregrina has not been fully described. Therefore, we generated a comprehensive gene expression dataset using RNA sequencing and carried out de novo assembly to characterize the S. peregrina transcriptome. We obtained precise sequence information for RNA transcripts using two different methods. Based on primary sequence information, we identified sets of assembled unigenes and predicted coding sequences. Functional annotation of the aligned unigenes was performed using the UniProt, Gene Ontology, and Kyoto Encyclopedia of Genes and Genomes databases. As a result, 26,580,352 and 83,221 raw reads were obtained using the Illumina MiSeq and Pacbio RS II Iso-Seq sequencing applications, respectively. From these reads, 55,730 contigs were successfully annotated. The present study provides the resulting genome information of S. peregrina, which is valuable for forensic applications.

Original languageEnglish
Article number180220
JournalScientific data
Publication statusPublished - 2018

Bibliographical note

Funding Information:
This work was supported by the Korean National Police Agency through the Research and Development of Police Science and Technology project (PA-G000001/2016-401). G.H.S., S.H.P., and S.K.K. were supported by the Korea University grant program. J.Y.K. and H.K.C. were supported by the Brain Korea 21 PLUS program.

Publisher Copyright:
© The Author(s) 2018.

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences


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