CPGAVAS2, an integrated plastome sequence annotator and analyzer

By Linchun Shi, Haimei Chen, Mei Jiang, Liqiang Wang, Xi Wu, Linfang Huang, Chang Liu. Nucleic Acids Res., 2019

1,025 citations recorded by the source corpus.

Abstract We previously developed a web server CPGAVAS for annotation, visualization and GenBank submission of plastome sequences. Here, we upgrade the server into CPGAVAS2 to address the following challenges: (i) inaccurate annotation in the reference sequence likely causing the propagation of errors; (ii) difficulty in the annotation of small exons of genes petB, petD and rps16 and trans-splicing gene rps12; (iii) lack of annotation for other genome features and their visualization, such as repeat elements; and (iv) lack of modules for diversity analysis of plastomes. In particular, CPGAVAS2 provides two reference datasets for plastome annotation. The first dataset contains 43 plastomes whose annotation have been validated or corrected by RNA-seq data. The second one contains 2544 plastomes curated with sequence alignment. Two new algorithms are also implemented to correctly annotate small exons and trans-splicing genes. Tandem and dispersed repeats are identified, whose results are displayed on a circular map together with the annotated genes. DNA-seq and RNA-seq data can be uploaded for identification of single-nucleotide polymorphism sites and RNA-editing sites. The results of two case studies show that CPGAVAS2 annotates better than several other servers. CPGAVAS2 will likely become an indispensible tool for plastome research and can be accessed from http://www.herbalgenomics.org/cpgavas2.

Subfields: Endocrinology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/66b046ce4c7c9040ea04a0defc55d1ec57b034b7

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In Molecular Biology

1. Peter Poczai
2. Ali Amiryousefi
3. Jing Tang
4. Jaakko Hyvönen
5. Shuyu Zheng

Citations in the corpus

• Chloroplot: An Online Program for the Versatile Plotting of Organelle Genomes (2020, methodology): “Besides this popular program, genome maps are also drawn manually or by other visualizing tools, e.g., GenomeVx (Conant and Wolfe, 2008) or CPGAVAS2 (Shi et  al., 2019).”