Evidence map›Paper›PMID 30398471›Full record

ArticleScientific data2018

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

Abstract readDataset
In one paragraph

Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Development of Forensically ImportantAnimals : an open access journal from MDPI · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ji Yeon KimDepartment of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Korea.
Hye Young LimDepartment of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Korea.
Sang Eon ShinDepartment of Legal Medicine, College of Medicine, Korea University, Seoul 02841, Korea.
Hyo Kyeong ChaDepartment of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Korea.
Jeong-Han SeoResearch and Development Center, Insilicogen Inc., Yongin 16954, Gyeonggi-do, Republic of Korea.
Suel-Kee KimDepartment of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Korea.
Seong Hwan ParkDepartment of Legal Medicine, College of Medicine, Korea University, Seoul 02841, Korea.
Gi Hoon SonDepartment of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

TranscriptomeAnimalsForensic GeneticsGene Expression ProfilingHigh-Throughput Nucleotide SequencingMolecular Sequence AnnotationSarcophagidaeSequence Analysis, RNA

Identifiers

PMID30398471
PMCPMC6219405

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.