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BioMed Research International
Volume 2013, Article ID 502827, 11 pages
http://dx.doi.org/10.1155/2013/502827
Research Article

ASPic-GeneID: A Lightweight Pipeline for Gene Prediction and Alternative Isoforms Detection

1Centre Nacional d’Anàlisi Genòmica (CNAG), Parc Científic de Barcelona, 08028 Barcelona, Spain
2Dipartimento di Bioscienze, Biotecnologie e Biofarmaceutica, Università degli Studi di Bari, 70126 Bari, Italy
3Istituto di Biomembrane e Bioenergetica del Consiglio Nazionale delle Ricerche (CNR), 70126 Bari, Italy
4Centre de Regulació Genòmica (CRG), 08003 Barcelona, Spain
5Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
6Centro di Eccellenza in Genomica Comparata, Università degli Studi di Bari, 70126 Bari, Italy

Received 16 June 2013; Revised 1 August 2013; Accepted 4 August 2013

Academic Editor: Tao Huang

Copyright © 2013 Tyler Alioto et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

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  • Firouz Abbasian, Robin Lockington, Mallavarapu Megharaj, and Ravi Naidu, “The integration of sequencing and bioinformatics in metagenomics,” Reviews in Environmental Science and Bio/Technology, 2015. View at Publisher · View at Google Scholar
  • Monica-Andreea Drăgan, Ismail Moghul, Anurag Priyam, Claudio Bustos, and Yannick Wurm, “GeneValidator: identify problems with protein-coding gene predictions,” Bioinformatics, pp. btw015, 2016. View at Publisher · View at Google Scholar
  • Jyoti Lakhani, Ajay Khuteta, Anupama Choudhary, and Dharmesh Harwani, “In Silico Methods to Predict Disease-Resistance Candidate Genes in Plants,” In Silico Approach for Sustainable Agriculture, pp. 91–106, 2018. View at Publisher · View at Google Scholar