RNAseq versus genome-predicted transcriptomes: a large population of novel transcripts identified in an Illumina-454 Hydra transcriptome
Open Access
- 1 January 2013
- journal article
- Published by Springer Nature in BMC Genomics
- Vol. 14 (1) , 204
Abstract
Evolutionary studies benefit from deep sequencing technologies that generate genomic and transcriptomic sequences from a variety of organisms. Genome sequencing and RNAseq have complementary strengths. In this study, we present the assembly of the most complete Hydra transcriptome to date along with a comparative analysis of the specific features of RNAseq and genome-predicted transcriptomes currently available in the freshwater hydrozoan Hydra vulgaris.Keywords
This publication has 52 references indexed in Scilit:
- Whole Transcriptome Analysis of the Coral Acropora millepora Reveals Complex Responses to CO2‐driven Acidification during the Initiation of CalcificationMolecular Ecology, 2012
- Oases:robustde novoRNA-seq assembly across the dynamic range of expression levelsBioinformatics, 2012
- Using the Acropora digitifera genome to understand coral responses to environmental changeNature, 2011
- Molecular phylogenetic study in genus HydraGene, 2010
- The dynamic genome of HydraNature, 2010
- Sequencing and de novo analysis of a coral larval transcriptome using 454 GSFlxBMC Genomics, 2009
- Multigene Phylogeny of Choanozoa and the Origin of AnimalsPLOS ONE, 2008
- Velvet: Algorithms for de novo short read assembly using de Bruijn graphsGenome Research, 2008
- Comprehensive analysis of alternative splicing in rice and comparative analyses with ArabidopsisBMC Genomics, 2006
- A Greedy Algorithm for Aligning DNA SequencesJournal of Computational Biology, 2000