343 related articles for article (PubMed ID: 27769170)
21. A flexible count data model to fit the wide diversity of expression profiles arising from extensively replicated RNA-seq experiments.
Esnaola M; Puig P; Gonzalez D; Castelo R; Gonzalez JR
BMC Bioinformatics; 2013 Aug; 14():254. PubMed ID: 23965047
[TBL] [Abstract][Full Text] [Related]
22. Performance evaluation of lossy quality compression algorithms for RNA-seq data.
Yu R; Yang W; Wang S
BMC Bioinformatics; 2020 Jul; 21(1):321. PubMed ID: 32689929
[TBL] [Abstract][Full Text] [Related]
23. Testing for association between RNA-Seq and high-dimensional data.
Rauschenberger A; Jonker MA; van de Wiel MA; Menezes RX
BMC Bioinformatics; 2016 Mar; 17():118. PubMed ID: 26951498
[TBL] [Abstract][Full Text] [Related]
24. Grape RNA-Seq analysis pipeline environment.
Knowles DG; Röder M; Merkel A; Guigó R
Bioinformatics; 2013 Mar; 29(5):614-21. PubMed ID: 23329413
[TBL] [Abstract][Full Text] [Related]
25. RNA-Seq methods for transcriptome analysis.
Hrdlickova R; Toloue M; Tian B
Wiley Interdiscip Rev RNA; 2017 Jan; 8(1):. PubMed ID: 27198714
[TBL] [Abstract][Full Text] [Related]
26. High-Throughput Cellular RNA Sequencing (HiCAR-Seq): Cost-Effective, High-Throughput 3' mRNA-Seq Method Enabling Individual Sample Quality Control.
Veeranagouda Y; Zachayus JL; Guillemot JC; Venier O; Didier M
Curr Protoc Mol Biol; 2020 Sep; 132(1):e123. PubMed ID: 32735043
[TBL] [Abstract][Full Text] [Related]
27. scPipe: A flexible R/Bioconductor preprocessing pipeline for single-cell RNA-sequencing data.
Tian L; Su S; Dong X; Amann-Zalcenstein D; Biben C; Seidi A; Hilton DJ; Naik SH; Ritchie ME
PLoS Comput Biol; 2018 Aug; 14(8):e1006361. PubMed ID: 30096152
[TBL] [Abstract][Full Text] [Related]
28. Peregrine: A rapid and unbiased method to produce strand-specific RNA-Seq libraries from small quantities of starting material.
Langevin SA; Bent ZW; Solberg OD; Curtis DJ; Lane PD; Williams KP; Schoeniger JS; Sinha A; Lane TW; Branda SS
RNA Biol; 2013 Apr; 10(4):502-15. PubMed ID: 23558773
[TBL] [Abstract][Full Text] [Related]
29. Accurate estimation of expression levels of homologous genes in RNA-seq experiments.
Paşaniuc B; Zaitlen N; Halperin E
J Comput Biol; 2011 Mar; 18(3):459-68. PubMed ID: 21385047
[TBL] [Abstract][Full Text] [Related]
30. RNA-Seq Experiment and Data Analysis.
Liang H; Zeng E
Methods Mol Biol; 2016; 1366():99-114. PubMed ID: 26585130
[TBL] [Abstract][Full Text] [Related]
31. Genome-Wide circRNA Profiling from RNA-seq Data.
Cooper DA; Cortés-López M; Miura P
Methods Mol Biol; 2018; 1724():27-41. PubMed ID: 29322438
[TBL] [Abstract][Full Text] [Related]
32. JingleBells: A Repository of Immune-Related Single-Cell RNA-Sequencing Datasets.
Ner-Gaon H; Melchior A; Golan N; Ben-Haim Y; Shay T
J Immunol; 2017 May; 198(9):3375-3379. PubMed ID: 28416714
[TBL] [Abstract][Full Text] [Related]
33. DeconRNASeq: a statistical framework for deconvolution of heterogeneous tissue samples based on mRNA-Seq data.
Gong T; Szustakowski JD
Bioinformatics; 2013 Apr; 29(8):1083-5. PubMed ID: 23428642
[TBL] [Abstract][Full Text] [Related]
34. SimBA: A methodology and tools for evaluating the performance of RNA-Seq bioinformatic pipelines.
Audoux J; Salson M; Grosset CF; Beaumeunier S; Holder JM; Commes T; Philippe N
BMC Bioinformatics; 2017 Sep; 18(1):428. PubMed ID: 28969586
[TBL] [Abstract][Full Text] [Related]
35. A protocol for RNA methylation differential analysis with MeRIP-Seq data and exomePeak R/Bioconductor package.
Meng J; Lu Z; Liu H; Zhang L; Zhang S; Chen Y; Rao MK; Huang Y
Methods; 2014 Oct; 69(3):274-81. PubMed ID: 24979058
[TBL] [Abstract][Full Text] [Related]
36. DAFS: a data-adaptive flag method for RNA-sequencing data to differentiate genes with low and high expression.
George NI; Chang CW
BMC Bioinformatics; 2014 Mar; 15():92. PubMed ID: 24685233
[TBL] [Abstract][Full Text] [Related]
37. QuickRNASeq: Guide for Pipeline Implementation and for Interactive Results Visualization.
He W; Zhao S; Zhang C; Vincent MS; Zhang B
Methods Mol Biol; 2018; 1751():57-70. PubMed ID: 29508289
[TBL] [Abstract][Full Text] [Related]
38. Detection of high variability in gene expression from single-cell RNA-seq profiling.
Chen HI; Jin Y; Huang Y; Chen Y
BMC Genomics; 2016 Aug; 17 Suppl 7(Suppl 7):508. PubMed ID: 27556924
[TBL] [Abstract][Full Text] [Related]
39. Comparative evaluation of gene set analysis approaches for RNA-Seq data.
Rahmatallah Y; Emmert-Streib F; Glazko G
BMC Bioinformatics; 2014 Dec; 15(1):397. PubMed ID: 25475910
[TBL] [Abstract][Full Text] [Related]
40. The impact of amplification on differential expression analyses by RNA-seq.
Parekh S; Ziegenhain C; Vieth B; Enard W; Hellmann I
Sci Rep; 2016 May; 6():25533. PubMed ID: 27156886
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
