| 000 | 02304nab a22003137a 4500 | ||
|---|---|---|---|
| 999 |
_c63951 _d63943 |
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| 001 | 63951 | ||
| 003 | MX-TxCIM | ||
| 005 | 20211006074802.0 | ||
| 008 | 200320s2021 xxk|||p|op||| 00| 0 eng d | ||
| 022 | _a1746-4811 | ||
| 024 | 8 | _ahttps://doi.org/10.1186/s13007-021-00754-1 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_921298 _aWimalanathan, K. |
|
| 245 | 1 | 0 | _aGene Ontology Meta Annotator for Plants (GOMAP) |
| 260 |
_aLondon (United Kingdom) : _bBioMed Central, _c2021. |
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| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aAnnotating gene structures and functions to genome assemblies is necessary to make assembly resources useful for biological inference. Gene Ontology (GO) term assignment is the most used functional annotation system, and new methods for GO assignment have improved the quality of GO-based function predictions. The Gene Ontology Meta Annotator for Plants (GOMAP) is an optimized, high-throughput, and reproducible pipeline for genome-scale GO annotation of plants. We containerized GOMAP to increase portability and reproducibility and also optimized its performance for HPC environments. Here we report on the pipeline’s availability and performance for annotating large, repetitive plant genomes and describe how GOMAP was used to annotate multiple maize genomes as a test case. Assessment shows that GOMAP expands and improves the number of genes annotated and annotations assigned per gene as well as the quality (based on Fmax) of GO assignments in maize. GOMAP has been deployed to annotate other species including wheat, rice, barley, cotton, and soy. Instructions and access to the GOMAP Singularity container are freely available online at https://bioinformapping.com/gomap/. A list of annotated genomes and links to data is maintained at https://dill-picl.org/projects/gomap/. | ||
| 546 | _aText in English | ||
| 650 | 7 |
_2AGROVOC _93563 _aGenes |
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| 650 | 7 |
_2AGROVOC _98810 _aOntology |
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| 650 | 7 |
_aGenomes _gAGROVOC _2 _91131 |
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| 650 | 7 |
_2AGROVOC _99025 _aPlant Genetics |
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| 700 |
_910083 _aLawrence-Dill, C.J. |
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| 773 | 0 |
_dLondon (United Kingdom) : BioMed Central, 2021. _gv. 17, art. 54 _tPlant Methods _w57210 _x1746-4811 |
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| 856 | 4 |
_yClick here to access online _uhttps://doi.org/10.1186/s13007-021-00754-1 |
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| 942 |
_2ddc _cJA _n0 |
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