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AltAnalyze - An Optimized Platform for RNA-Seq Splicing and Domain-Level Analyses
2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology
◽
10.1109/hisb.2012.38
◽
2012
◽
Cited By ~ 1
Author(s):
Nathan Salomonis
Keyword(s):
Rna Seq
◽
Domain Level
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Identification of the main venom proteins of cotton mealybug parasitoidAenasius bambawaleiHayat by RNA-Seq analysis
10.1603/ice.2016.115632
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2016
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Author(s):
Hoor Shaina
Keyword(s):
Rna Seq
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Cotton Mealybug
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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
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2016
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Xiaolong Cao
Keyword(s):
Integrated Modeling
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Rna Seq
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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)
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10.23919/ccc50068.2020.9188589
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2020
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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
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2017
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Author(s):
Signe Altmäe
Keyword(s):
Rna Seq
◽
Molecular Processes
◽
Cell Type
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Cell Type Specific
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An RNA-seq screen of P. gingivalis LPS treated human gingival fibroblasts
10.26226/morressier.5ac383172afeeb00097a3a8f
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2018
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Author(s):
Yufeng Xie
Keyword(s):
Human Gingival Fibroblasts
◽
Gingival Fibroblasts
◽
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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
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2020
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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
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2020
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Author(s):
Steve Cole
Keyword(s):
Dried Blood Spot
◽
Rna Seq
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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
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10.3410/f.1128830.793565854
◽
2019
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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
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Author(s):
Steven Salzberg
◽
Michael Schatz
Keyword(s):
Reference Genome
◽
Transcriptome Assembly
◽
Full Length
◽
Rna Seq
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Faculty Opinions recommendation of Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
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10.3410/f.14267340.15779565
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2012
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Author(s):
Marylyn Ritchie
◽
Stephen Turner
Keyword(s):
Expression Analysis
◽
Transcript Expression
◽
Rna Seq
◽
Differential Gene
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