ArticleNucleic acids research2004
trome, trEST and trGEN: databases of predicted protein sequences.
Article in Nucleic acids research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Revealing Missing Human Protein Isoforms Based on Ab Initio Prediction, RNA-seq and Proteomics.Scientific reports · 2015Article
- Assessment of transcript reconstruction methods for RNA-seq.Nature methods · 2013Article
- Transcriptomic and proteomic profiling of two porcine tissues using high-throughput technologies.BMC genomics · 2009Article
- CleanEx: new data extraction and merging tools based on MeSH term annotation.Nucleic acids research · 2009Article
- A general definition and nomenclature for alternative splicing events.PLoS computational biology · 2008Article
- The Protein Identifier Cross-Referencing (PICR) service: reconciling protein identifiers across multiple source databases.BMC bioinformatics · 2007Article
- MyHits: improvements to an interactive resource for analyzing protein sequences.Nucleic acids research · 2007Article
- Pan-genome isolation of low abundance transcripts using SAGE tag.FEBS letters · 2006Article
- Stealth proteins: in silico identification of a novel protein family rendering bacterial pathogens invisible to host immune defense.PLoS computational biology · 2005Article
- Cell-type-specific transcriptomics in chimeric models using transcriptome-based masks.Nucleic acids research · 2005Article
- An atlas of human gene expression from massively parallel signature sequencing (MPSS).Genome research · 2005Article
- MyHits: a new interactive resource for protein annotation and domain identification.Nucleic acids research · 2004Article
- The Eukaryotic Promoter Database EPD: the impact of in silico primer extension.Nucleic acids research · 2004Article
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Authors and funding
6 authors.
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Abstract
We previously introduced two new protein databases (trEST and trGEN) of hypothetical protein sequences predicted from EST and HTG sequences, respectively. Here, we present the updates made on these two databases plus a new database (trome), which uses alignments of EST data to HTG or full genomes to generate virtual transcripts and coding sequences. This new database is of higher quality and since it contains the information in a much denser format it is of much smaller size. These new databases are in a Swiss-Prot-like format and are updated on a weekly basis (trEST and trGEN) or every 3 months (trome). They can be downloaded by anonymous ftp from ftp://ftp.isrec.isb-sib.ch/pub/databases.
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