scholarly journals Genome, Functional Gene Annotation, and Nuclear Transformation of the Heterokont Oleaginous Alga Nannochloropsis oceanica CCMP1779

PLoS Genetics ◽  
2012 ◽  
Vol 8 (11) ◽  
pp. e1003064 ◽  
Author(s):  
Astrid Vieler ◽  
Guangxi Wu ◽  
Chia-Hong Tsai ◽  
Blair Bullard ◽  
Adam J. Cornish ◽  
...  
PLoS Genetics ◽  
2017 ◽  
Vol 13 (5) ◽  
pp. e1006802 ◽  
Author(s):  
Astrid Vieler ◽  
Guangxi Wu ◽  
Chia-Hong Tsai ◽  
Blair Bullard ◽  
Adam J. Cornish ◽  
...  

2019 ◽  
Vol 35 (21) ◽  
pp. 4427-4429 ◽  
Author(s):  
Andrea Ghelfi ◽  
Kenta Shirasawa ◽  
Hideki Hirakawa ◽  
Sachiko Isobe

Abstract Summary Hayai-Annotation Plants is a browser-based interface for an ultra-fast and accurate functional gene annotation system for plant species using R. The pipeline combines the sequence-similarity searches, using USEARCH against UniProtKB (taxonomy Embryophyta), with a functional annotation step. Hayai-Annotation Plants provides five layers of annotation: i) protein name; ii) gene ontology terms consisting of its three main domains (Biological Process, Molecular Function and Cellular Component); iii) enzyme commission number; iv) protein existence level; and v) evidence type. It implements a new algorithm that gives priority to protein existence level to propagate GO and EC information and annotated Arabidopsis thaliana representative peptide sequences (Araport11) within 5 min at the PC level. Availability and implementation The software is implemented in R and runs on Macintosh and Linux systems. It is freely available at https://github.com/kdri-genomics/Hayai-Annotation-Plants under the GPLv3 license. Supplementary information Supplementary data are available at Bioinformatics online.


2013 ◽  
Vol 51 (5) ◽  
pp. 525-530 ◽  
Author(s):  
Ki Uk Kim ◽  
Sang Kyun Park ◽  
Shin Ae Kang ◽  
Mi Kyung Park ◽  
Min Kyoung Cho ◽  
...  

2018 ◽  
Author(s):  
Alexander J. Hart ◽  
Samuel Ginzburg ◽  
Muyang (Sam) Xu ◽  
Cera R. Fisher ◽  
Nasim Rahmatpour ◽  
...  

ABSTRACTEnTAP (Eukaryotic Non-Model Transcriptome Annotation Pipeline) was designed to improve the accuracy, speed, and flexibility of functional gene annotation for de novo assembled transcriptomes in non-model eukaryotes. This software package addresses the fragmentation and related assembly issues that result in inflated transcript estimates and poor annotation rates, while focusing primarily on protein-coding transcripts. Following filters applied through assessment of true expression and frame selection, open-source tools are leveraged to functionally annotate the translated proteins. Downstream features include fast similarity search across three repositories, protein domain assignment, orthologous gene family assessment, and Gene Ontology term assignment. The final annotation integrates across multiple databases and selects an optimal assignment from a combination of weighted metrics describing similarity search score, taxonomic relationship, and informativeness. Researchers have the option to include additional filters to identify and remove contaminants, identify associated pathways, and prepare the transcripts for enrichment analysis. This fully featured pipeline is easy to install, configure, and runs significantly faster than comparable annotation packages. EnTAP is optimized to generate extensive functional information for the gene space of organisms with limited or poorly characterized genomic resources.


2017 ◽  
Vol 249 ◽  
pp. 10-15 ◽  
Author(s):  
Daniel Jaeger ◽  
Wolfgang Hübner ◽  
Thomas Huser ◽  
Jan H. Mussgnug ◽  
Olaf Kruse

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