Name
Abstract | ||
|---|---|---|
Motivation: Genome annotation is an important step for all in-depth bioinformatics analysis. It is imperative to augment quantity and diversity of genome-wide annotation data for the latest reference genome to promote its adoption by ongoing and future impactful studies. Results: We developed a python toolkit AnnoGen, which at the first time, allows the annotation of three pragmatic genomic features for the GRCh38 genome in enormous base-wise quantities. The three features are chemical binding Energy, sequence information Entropy and Homology Score. The Homology Score is an exceptional feature that captures the genome-wide homology through single-base-offset tiling windows of 100 continual nucleotide bases. AnnoGen is capable of annotating the proprietary pragmatic features for variable user-interested genomic regions and optionally comparing two parallel sets of genomic regions. AnnoGen is characterized with simple utility modes and succinct HTML report of informative statistical tables and plots. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1093/bioinformatics/btaa027 | BIOINFORMATICS |
DocType | Volume | Issue |
Journal | 36 | 9 |
ISSN | Citations | PageRank |
1367-4803 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Quanhu Sheng | 1 | 22 | 5.61 |
| Hui Yu | 2 | 0 | 1.35 |
| Olufunmilola Oyebamiji | 3 | 0 | 1.35 |
| Jiandong Wang | 4 | 0 | 1.01 |
| Danqian Chen | 5 | 0 | 0.68 |
| Scott Ness | 6 | 0 | 1.69 |
| Ying-Yong Zhao | 7 | 0 | 0.68 |
| Yan Guo | 8 | 1 | 2.71 |