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ANISEED 2019: 4D exploration of genetic data for an extended range of tunicates.

Authors :
Dardaillon J
Dauga D
Simion P
Faure E
Onuma TA
DeBiasse MB
Louis A
Nitta KR
Naville M
Besnardeau L
Reeves W
Wang K
Fagotto M
Guéroult-Bellone M
Fujiwara S
Dumollard R
Veeman M
Volff JN
Roest Crollius H
Douzery E
Ryan JF
Davidson B
Nishida H
Dantec C
Lemaire P
Source :
Nucleic acids research [Nucleic Acids Res] 2020 Jan 08; Vol. 48 (D1), pp. D668-D675.
Publication Year :
2020

Abstract

ANISEED (https://www.aniseed.cnrs.fr) is the main model organism database for the worldwide community of scientists working on tunicates, the vertebrate sister-group. Information provided for each species includes functionally-annotated gene and transcript models with orthology relationships within tunicates, and with echinoderms, cephalochordates and vertebrates. Beyond genes the system describes other genetic elements, including repeated elements and cis-regulatory modules. Gene expression profiles for several thousand genes are formalized in both wild-type and experimentally-manipulated conditions, using formal anatomical ontologies. These data can be explored through three complementary types of browsers, each offering a different view-point. A developmental browser summarizes the information in a gene- or territory-centric manner. Advanced genomic browsers integrate the genetic features surrounding genes or gene sets within a species. A Genomicus synteny browser explores the conservation of local gene order across deuterostome. This new release covers an extended taxonomic range of 14 species, including for the first time a non-ascidian species, the appendicularian Oikopleura dioica. Functional annotations, provided for each species, were enhanced through a combination of manual curation of gene models and the development of an improved orthology detection pipeline. Finally, gene expression profiles and anatomical territories can be explored in 4D online through the newly developed Morphonet morphogenetic browser.<br /> (© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Details

Language :
English
ISSN :
1362-4962
Volume :
48
Issue :
D1
Database :
MEDLINE
Journal :
Nucleic acids research
Publication Type :
Academic Journal
Accession number :
31680137
Full Text :
https://doi.org/10.1093/nar/gkz955