Getting Useful Information from RNA-Seq Contaminants: A Case of Study in the Oil-Collecting Bee Tetrapedia diversipes Transcriptome

Natalia de Souza Araujo; Alexandre Rizzo Zuntini; Maria Cristina Arias

doi:10.1089/omi.2016.0054

Getting Useful Information from RNA-Seq Contaminants: A Case of Study in the Oil-Collecting Bee Tetrapedia diversipes Transcriptome

OMICS A Journal of Integrative Biology ◽

10.1089/omi.2016.0054 ◽

2016 ◽

Vol 20 (8) ◽

pp. 491-492 ◽

Cited By ~ 2

Author(s):

Natalia de Souza Araujo ◽

Alexandre Rizzo Zuntini ◽

Maria Cristina Arias

Keyword(s):

Rna Seq ◽

Tetrapedia Diversipes

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RNA-Seq reveals that mitochondrial genes and long non-coding RNAs may play important roles in the bivoltine generations of the non-social Neotropical bee Tetrapedia diversipes

Apidologie ◽

10.1007/s13592-017-0542-2 ◽

2017 ◽

Vol 49 (1) ◽

pp. 3-12 ◽

Cited By ~ 4

Author(s):

Natalia S. Araujo ◽

Priscila Karla F. Santos ◽

Maria Cristina Arias

Keyword(s):

Mitochondrial Genes ◽

Rna Seq ◽

Non Coding Rnas ◽

Tetrapedia Diversipes

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Identification of the main venom proteins of cotton mealybug parasitoidAenasius bambawaleiHayat by RNA-Seq analysis

10.1603/ice.2016.115632 ◽

2016 ◽

Author(s):

Hoor Shaina

Keyword(s):

Rna Seq ◽

Cotton Mealybug ◽

Venom Proteins

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Integrated modeling of protein-coding genes in theManduca sextagenome using RNA-seq data from the biochemical model insect

10.1603/ice.2016.110841 ◽

2016 ◽

Cited By ~ 1

Author(s):

Xiaolong Cao

Keyword(s):

Integrated Modeling ◽

Rna Seq ◽

Protein Coding ◽

Protein Coding Genes ◽

Biochemical Model

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ECBN: Ensemble Clustering based on Bayesian Network inference for Single-cell RNA-seq Data

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9188589 ◽

2020 ◽

Author(s):

Dexin Zhang ◽

Yuan Zhu

Keyword(s):

Bayesian Network ◽

Single Cell ◽

Network Inference ◽

Ensemble Clustering ◽

Rna Seq ◽

Bayesian Network Inference

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Novel cell-type specific RNA-seq analysis provides new insights into the molecular processes of receptive phase endometrium and identifies sensitive biomarkers

10.26226/morressier.5912d9ead462b802923861fa ◽

2017 ◽

Author(s):

Signe Altmäe

Keyword(s):

Rna Seq ◽

Molecular Processes ◽

Cell Type ◽

Cell Type Specific

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An RNA-seq screen of P. gingivalis LPS treated human gingival fibroblasts

10.26226/morressier.5ac383172afeeb00097a3a8f ◽

2018 ◽

Author(s):

Yufeng Xie

Keyword(s):

Human Gingival Fibroblasts ◽

Gingival Fibroblasts ◽

Rna Seq

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Nested barcode sets and sequences for the minimization of multiplexing-specific cross-contamination in RNA-Seq runs

10.26226/morressier.5ebd45acffea6f735881b1a0 ◽

2020 ◽

Author(s):

Andreas Tuerk

Keyword(s):

Cross Contamination ◽

Rna Seq

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RNA-Seq of Dried Blood Spot Samples using Lexogen’s QuantSeq 3’ mRNA-Seq FWD assay

10.26226/morressier.5ebd45acffea6f735881b1a1 ◽

2020 ◽

Author(s):

Steve Cole

Keyword(s):

Dried Blood Spot ◽

Rna Seq ◽

Blood Spot

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Faculty Opinions recommendation of RNA-Seq: a revolutionary tool for transcriptomics.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1128830.793565854 ◽

2019 ◽

Author(s):

Michael Barnes

Keyword(s):

Rna Seq

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Faculty Opinions recommendation of Full-length transcriptome assembly from RNA-Seq data without a reference genome.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.13296969.14657090 ◽

2011 ◽

Author(s):

Steven Salzberg ◽

Michael Schatz

Keyword(s):

Reference Genome ◽

Transcriptome Assembly ◽

Full Length ◽

Rna Seq

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