475 related articles for article (PubMed ID: 27153637)
1. SCell: integrated analysis of single-cell RNA-seq data.
Diaz A; Liu SJ; Sandoval C; Pollen A; Nowakowski TJ; Lim DA; Kriegstein A
Bioinformatics; 2016 Jul; 32(14):2219-20. PubMed ID: 27153637
[TBL] [Abstract][Full Text] [Related]
2. Ensemble learning for classifying single-cell data and projection across reference atlases.
Wang L; Catalan F; Shamardani K; Babikir H; Diaz A
Bioinformatics; 2020 Jun; 36(11):3585-3587. PubMed ID: 32105316
[TBL] [Abstract][Full Text] [Related]
3. Normalization and noise reduction for single cell RNA-seq experiments.
Ding B; Zheng L; Zhu Y; Li N; Jia H; Ai R; Wildberg A; Wang W
Bioinformatics; 2015 Jul; 31(13):2225-7. PubMed ID: 25717193
[TBL] [Abstract][Full Text] [Related]
4. OEFinder: a user interface to identify and visualize ordering effects in single-cell RNA-seq data.
Leng N; Choi J; Chu LF; Thomson JA; Kendziorski C; Stewart R
Bioinformatics; 2016 May; 32(9):1408-10. PubMed ID: 26743507
[TBL] [Abstract][Full Text] [Related]
5. Snaptron: querying splicing patterns across tens of thousands of RNA-seq samples.
Wilks C; Gaddipati P; Nellore A; Langmead B
Bioinformatics; 2018 Jan; 34(1):114-116. PubMed ID: 28968689
[TBL] [Abstract][Full Text] [Related]
6. Falco: a quick and flexible single-cell RNA-seq processing framework on the cloud.
Yang A; Troup M; Lin P; Ho JW
Bioinformatics; 2017 Mar; 33(5):767-769. PubMed ID: 28025200
[TBL] [Abstract][Full Text] [Related]
7. CONICS integrates scRNA-seq with DNA sequencing to map gene expression to tumor sub-clones.
Müller S; Cho A; Liu SJ; Lim DA; Diaz A
Bioinformatics; 2018 Sep; 34(18):3217-3219. PubMed ID: 29897414
[TBL] [Abstract][Full Text] [Related]
8. Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data.
Devailly G; Mantsoki A; Joshi A
Bioinformatics; 2016 Nov; 32(21):3354-3356. PubMed ID: 27378302
[TBL] [Abstract][Full Text] [Related]
9. damidseq_pipeline: an automated pipeline for processing DamID sequencing datasets.
Marshall OJ; Brand AH
Bioinformatics; 2015 Oct; 31(20):3371-3. PubMed ID: 26112292
[TBL] [Abstract][Full Text] [Related]
10. visnormsc: A Graphical User Interface to Normalize Single-cell RNA Sequencing Data.
Tang L; Zhou N
Interdiscip Sci; 2018 Sep; 10(3):636-640. PubMed ID: 29280088
[TBL] [Abstract][Full Text] [Related]
11. Quality control of single-cell RNA-seq by SinQC.
Jiang P; Thomson JA; Stewart R
Bioinformatics; 2016 Aug; 32(16):2514-6. PubMed ID: 27153613
[TBL] [Abstract][Full Text] [Related]
12. Rcount: simple and flexible RNA-Seq read counting.
Schmid MW; Grossniklaus U
Bioinformatics; 2015 Feb; 31(3):436-7. PubMed ID: 25322836
[TBL] [Abstract][Full Text] [Related]
13. Cerebro: interactive visualization of scRNA-seq data.
Hillje R; Pelicci PG; Luzi L
Bioinformatics; 2020 Apr; 36(7):2311-2313. PubMed ID: 31764967
[TBL] [Abstract][Full Text] [Related]
14. rSeqNP: a non-parametric approach for detecting differential expression and splicing from RNA-Seq data.
Shi Y; Chinnaiyan AM; Jiang H
Bioinformatics; 2015 Jul; 31(13):2222-4. PubMed ID: 25717189
[TBL] [Abstract][Full Text] [Related]
15. iS-CellR: a user-friendly tool for analyzing and visualizing single-cell RNA sequencing data.
Patel MV
Bioinformatics; 2018 Dec; 34(24):4305-4306. PubMed ID: 29982379
[TBL] [Abstract][Full Text] [Related]
16. SCExecute: custom cell barcode-stratified analyses of scRNA-seq data.
Edwards N; Dillard C; Prashant NM; Hongyu L; Yang M; Ulianova E; Horvath A
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36448703
[TBL] [Abstract][Full Text] [Related]
17. Threshold-seq: a tool for determining the threshold in short RNA-seq datasets.
Magee R; Loher P; Londin E; Rigoutsos I
Bioinformatics; 2017 Jul; 33(13):2034-2036. PubMed ID: 28203700
[TBL] [Abstract][Full Text] [Related]
18. NanoPack: visualizing and processing long-read sequencing data.
De Coster W; D'Hert S; Schultz DT; Cruts M; Van Broeckhoven C
Bioinformatics; 2018 Aug; 34(15):2666-2669. PubMed ID: 29547981
[TBL] [Abstract][Full Text] [Related]
19. scGate: marker-based purification of cell types from heterogeneous single-cell RNA-seq datasets.
Andreatta M; Berenstein AJ; Carmona SJ
Bioinformatics; 2022 Apr; 38(9):2642-2644. PubMed ID: 35258562
[TBL] [Abstract][Full Text] [Related]
20. RNA-Seq Data Analysis Protocol: Combining In-House and Publicly Available Data.
Schmid MW
Methods Mol Biol; 2017; 1669():309-335. PubMed ID: 28936668
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
