De novo transcriptome assembly databases for the central nervous system of the medicinal leech

The study of non-model organisms stands to benefit greatly from genetic and genomic data. For a better understanding of the molecular mechanisms driving neuronal development, and to characterize the entire leech Hirudo medicinalis central nervous system (CNS) transcriptome we combined Trinity for de...

Full description

Saved in:
Bibliographic Details
Published in:Scientific data Vol. 2; no. 1; p. 150015
Main Authors: Hibsh, Dror, Schori, Hadas, Efroni, Sol, Shefi, Orit
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 28-04-2015
Nature Publishing Group
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The study of non-model organisms stands to benefit greatly from genetic and genomic data. For a better understanding of the molecular mechanisms driving neuronal development, and to characterize the entire leech Hirudo medicinalis central nervous system (CNS) transcriptome we combined Trinity for de-novo assembly and Illumina HiSeq2000 for RNA-Seq. We present a set of 73,493 de-novo assembled transcripts for the leech, reconstructed from RNA collected, at a single ganglion resolution, from the CNS. This set of transcripts greatly enriches the available data for the leech. Here, we share two databases, such that each dataset allows a different type of search for candidate homologues. The first is the raw set of assembled transcripts. This set allows a sequence-based search. A comprehensive analysis of which revealed 22,604 contigs with high e-values, aligned versus the Swiss-Prot database. This analysis enabled the production of the second database, which includes correlated sequences to annotated transcript names, with the confidence of BLAST best hit. Design Type(s) replicate design • transcription profiling by high throughput sequencing design Measurement Type(s) transcription profiling assay Technology Type(s) RNA sequencing Factor Type(s) replicate analysis Sample Characteristic(s) Hirudo medicinalis • ganglion Machine-accessible metadata file describing the reported data (ISA-Tab format)
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ObjectType-Undefined-3
AC02-05CH11231
USDOE Office of Science (SC)
D.H., O.S. and S.E. are responsible for the concept of the research and writing the manuscript. H.S has performed the RNA extraction. D.H. responsible for database and data analyses, deposit the data; all authors reviewed and approved the manuscript.
ISSN:2052-4463
2052-4463
DOI:10.1038/sdata.2015.15