ASTALAVISTA: dynamic and flexible analysis of alternative splicing events in custom gene datasets. Foissac, S. & Sammeth, M. Nucleic acids research, 35(Web Server issue):297, July, 2007.
ASTALAVISTA: dynamic and flexible analysis of alternative splicing events in custom gene datasets. [link]Paper  doi  abstract   bibtex   
In the process of establishing more and more complete annotations of eukaryotic genomes, a constantly growing number of alternative splicing (AS) events has been reported over the last decade. Consequently, the increasing transcript coverage also revealed the real complexity of some variations in the exon-intron structure between transcript variants and the need for computational tools to address 'complex' AS events. ASTALAVISTA (alternative splicing transcriptional landscape visualization tool) employs an intuitive and complete notation system to univocally identify such events. The method extracts AS events dynamically from custom gene annotations, classifies them into groups of common types and visualizes a comprehensive picture of the resulting AS landscape. Thus, ASTALAVISTA can characterize AS for whole transcriptome data from reference annotations (GENCODE, REFSEQ, ENSEMBL) as well as for genes selected by the user according to common functional/structural attributes of interest: http://genome.imim.es/astalavista.
@article{foissac_astalavista:_2007,
	title = {{ASTALAVISTA}: dynamic and flexible analysis of alternative splicing events in custom gene datasets.},
	volume = {35},
	issn = {1362-4962},
	url = {http://nar.oxfordjournals.org/content/35/suppl_2/W297.abstract},
	doi = {10.1093/nar/gkm311},
	abstract = {In the process of establishing more and more complete annotations of eukaryotic genomes, a constantly growing number of alternative splicing (AS) events has been reported over the last decade. Consequently, the increasing transcript coverage also revealed the real complexity of some variations in the exon-intron structure between transcript variants and the need for computational tools to address 'complex' AS events. ASTALAVISTA (alternative splicing transcriptional landscape visualization tool) employs an intuitive and complete notation system to univocally identify such events. The method extracts AS events dynamically from custom gene annotations, classifies them into groups of common types and visualizes a comprehensive picture of the resulting AS landscape. Thus, ASTALAVISTA can characterize AS for whole transcriptome data from reference annotations (GENCODE, REFSEQ, ENSEMBL) as well as for genes selected by the user according to common functional/structural attributes of interest: http://genome.imim.es/astalavista.},
	number = {Web Server issue},
	journal = {Nucleic acids research},
	author = {Foissac, Sylvain and Sammeth, Michael},
	month = jul,
	year = {2007},
	pmid = {17485470},
	keywords = {Alternative Splicing, Alternative Splicing: genetics, Chromosome Mapping, Chromosome Mapping: methods, Computational Biology, Computational Biology: methods, DNA, DNA Probes, DNA Probes: genetics, DNA: methods, Databases, Genetic, Genome, Humans, Internet, Messenger, Messenger: metabolism, Oligonucleotide Array Sequence Analysis, Oligonucleotide Array Sequence Analysis: instrumen, Oligonucleotide Array Sequence Analysis: methods, RNA, RNA Splice Sites, RNA Splice Sites: genetics, Sequence Analysis, Software},
	pages = {297}
}

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