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Table 5 Use of RNA-Seq evidence to improve annotation of untranslated regions to aid in promoter mining and epigenetic studies

From: FINDER: an automated software package to annotate eukaryotic genes from RNA-Seq data and associated protein sequences

 

Number of FINDER1 transcripts having TSS better than BRAKER2

Number of BRAKER2 transcripts having TSS better than FINDER1

Arabidopsis thaliana

15,063 (65%)

8022 (35%)

Oryza sativa

11,089 (66%)

5762 (34%)

Zea mays (NCBI)

20,721 (76%)

6628 (24%)

Zea mays (AGPv3)

7618 (28%)

19,731 (72%)

Zea mays (AGPv4)

18,114 (69%)

8297 (31%)

Caenorhabditis elegans

8681 (33%)

17,730 (67%)

Drosophila melanogaster

10,238 (63%)

5917 (37%)

Homo sapiens

10,158 (74%)

3486 (26%)

Hordeum vulgare

10,373 (65%)

5607 (35%)

  1. Best performance is indicated by bold values