Title |
EasyCluster2: an improved tool for clustering and assembling long transcriptome reads
|
---|---|
Published in |
BMC Bioinformatics, December 2014
|
DOI | 10.1186/1471-2105-15-s15-s7 |
Pubmed ID | |
Authors |
Vitoantonio Bevilacqua, Nicola Pietroleonardo, Ely Ignazio Giannino, Fabio Stroppa, Domenico Simone, Graziano Pesole, Ernesto Picardi |
Abstract |
Expressed sequences (e.g. ESTs) are a strong source of evidence to improve gene structures and predict reliable alternative splicing events. When a genome assembly is available, ESTs are suitable to generate gene-oriented clusters through the well-established EasyCluster software. Nowadays, EST-like sequences can be massively produced using Next Generation Sequencing (NGS) technologies. In order to handle genome-scale transcriptome data, we present here EasyCluster2, a reimplementation of EasyCluster able to speed up the creation of gene-oriented clusters and facilitate downstream analyses as the assembly of full-length transcripts and the detection of splicing isoforms. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 4% |
Brazil | 1 | 4% |
Unknown | 24 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 31% |
Student > Doctoral Student | 3 | 12% |
Professor | 3 | 12% |
Student > Bachelor | 2 | 8% |
Student > Ph. D. Student | 2 | 8% |
Other | 4 | 15% |
Unknown | 4 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 23% |
Agricultural and Biological Sciences | 6 | 23% |
Engineering | 4 | 15% |
Biochemistry, Genetics and Molecular Biology | 3 | 12% |
Medicine and Dentistry | 1 | 4% |
Other | 0 | 0% |
Unknown | 6 | 23% |