Found: 12
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Long‐read RNA‐Seq for the discovery of long noncoding and antisense RNAs in plant organelles.
- Published in:
- Physiologia Plantarum, 2024, v. 176, n. 4, p. 1, doi. 10.1111/ppl.14418
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- Article
Inpactor2: a software based on deep learning to identify and classify LTR-retrotransposons in plant genomes.
- Published in:
- Briefings in Bioinformatics, 2023, v. 24, n. 1, p. 1, doi. 10.1093/bib/bbac511
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- Article
Identification of Novel Genes and Proteoforms in Angiostrongylus costaricensis through a Proteogenomic Approach.
- Published in:
- Pathogens, 2022, v. 11, n. 11, p. 1273, doi. 10.3390/pathogens11111273
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- Article
TERL: classification of transposable elements by convolutional neural networks.
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- Briefings in Bioinformatics, 2021, v. 22, n. 3, p. 1, doi. 10.1093/bib/bbaa185
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- Article
mirtronDB: a mirtron knowledge base.
- Published in:
- Bioinformatics, 2019, v. 35, n. 19, p. 3873, doi. 10.1093/bioinformatics/btz153
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- Article
Pattern recognition analysis on long noncoding RNAs: a tool for prediction in plants.
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- Briefings in Bioinformatics, 2019, v. 20, n. 2, p. 682, doi. 10.1093/bib/bby034
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- Article
ceRNAs in plants: computational approaches and associated challenges for target mimic research.
- Published in:
- Briefings in Bioinformatics, 2018, v. 19, n. 6, p. 1273, doi. 10.1093/bib/bbx058
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- Article
Functional annotation and distribution overview of RNA families in 27 Streptococcus agalactiae genomes.
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- BMC Genomics, 2018, v. 19, n. 1, p. 1, doi. 10.1186/s12864-018-4951-z
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- Publication type:
- Article
PlaNC-TE: a comprehensive knowledgebase of non-coding RNAs and transposable elements in plants.
- Published in:
- Database: The Journal of Biological Databases & Curation, 2018, v. 2018, p. N.PAG, doi. 10.1093/database/bay078
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- Article
Circulating mRNAs and miRNAs as candidate markers for the diagnosis and prognosis of prostate cancer.
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- PLoS ONE, 2017, v. 12, n. 9, p. 1, doi. 10.1371/journal.pone.0184094
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- Article
Small RNAs in metastatic and non-metastatic oral squamous cell carcinoma.
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- BMC Medical Genomics, 2015, v. 8, n. 1, p. 1, doi. 10.1186/s12920-015-0102-4
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- Publication type:
- Article
High-throughput sequencing of small RNA transcriptomes reveals critical biological features targeted by microRNAs in cell models used for squamous cell cancer research.
- Published in:
- BMC Genomics, 2013, v. 14, n. 1, p. 1, doi. 10.1186/1471-2164-14-735
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- Publication type:
- Article