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Database: The Journal of Biological Databases and Curation
Article . 2020 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Article . 2020
License: CC BY
Data sources: PubMed Central
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DBLP
Article . 2022
Data sources: DBLP
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Siberian sturgeon multi-tissue reference transcriptome database

Authors: Christophe Klopp; Cédric Cabau; Gonzalo Greif; André Lasalle; Santiago Di Landro; Denise Vizziano-Cantonnet;

Siberian sturgeon multi-tissue reference transcriptome database

Abstract

Abstract Motivation: Siberian sturgeon is a long lived and late maturing fish farmed for caviar production in 50 countries. Functional genomics enable to find genes of interest for fish farming. In the absence of a reference genome, a reference transcriptome is very useful for sequencing based functional studies. Results: We present here a high-quality transcriptome assembly database built using RNA-seq reads coming from brain, pituitary, gonadal, liver, stomach, kidney, anterior kidney, heart, embryonic and pre-larval tissues. It will facilitate crucial research on topics such as puberty, reproduction, growth, food intake and immunology. This database represents a major contribution to the publicly available sturgeon transcriptome reference datasets. Availability: The database is publicly available at http://siberiansturgeontissuedb.sigenae.org Supplementary information: Supplementary data are available at Database online.

Keywords

Molecular Biology/Genomics [q-bio.GN], 570, Genome, Sequence Analysis, RNA, Gene Expression Profiling, Fishes, RNA sequencing, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Acipenser baerii, 630, Siberian sturgeon, Animals, Original Article, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Transcriptomics, Transcriptome, Sequence Analysis

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Average
Green
gold