182 related articles for article (PubMed ID: 35354805)
1. Comprehensive generation, visualization, and reporting of quality control metrics for single-cell RNA sequencing data.
Hong R; Koga Y; Bandyadka S; Leshchyk A; Wang Y; Akavoor V; Cao X; Sarfraz I; Wang Z; Alabdullatif S; Jansen F; Yajima M; Johnson WE; Campbell JD
Nat Commun; 2022 Mar; 13(1):1688. PubMed ID: 35354805
[TBL] [Abstract][Full Text] [Related]
2. scQCEA: a framework for annotation and quality control report of single-cell RNA-sequencing data.
Nassiri I; Fairfax B; Lee A; Wu Y; Buck D; Piazza P
BMC Genomics; 2023 Jul; 24(1):381. PubMed ID: 37415108
[TBL] [Abstract][Full Text] [Related]
3. CITEViz: interactively classify cell populations in CITE-Seq via a flow cytometry-like gating workflow using R-Shiny.
Kong GL; Nguyen TT; Rosales WK; Panikar AD; Cheney JHW; Lusardi TA; Yashar WM; Curtiss BM; Carratt SA; Braun TP; Maxson JE
BMC Bioinformatics; 2024 Apr; 25(1):142. PubMed ID: 38566005
[TBL] [Abstract][Full Text] [Related]
4. ascend: R package for analysis of single-cell RNA-seq data.
Senabouth A; Lukowski SW; Hernandez JA; Andersen SB; Mei X; Nguyen QH; Powell JE
Gigascience; 2019 Aug; 8(8):. PubMed ID: 31505654
[TBL] [Abstract][Full Text] [Related]
5. popsicleR: A R Package for Pre-processing and Quality Control Analysis of Single Cell RNA-seq Data.
Grandi F; Caroli J; Romano O; Marchionni M; Forcato M; Bicciato S
J Mol Biol; 2022 Jun; 434(11):167560. PubMed ID: 35662457
[TBL] [Abstract][Full Text] [Related]
6. RNA-QC-chain: comprehensive and fast quality control for RNA-Seq data.
Zhou Q; Su X; Jing G; Chen S; Ning K
BMC Genomics; 2018 Feb; 19(1):144. PubMed ID: 29444661
[TBL] [Abstract][Full Text] [Related]
7. Interactive analysis of single-cell data using flexible workflows with SCTK2.
Wang Y; Sarfraz I; Pervaiz N; Hong R; Koga Y; Akavoor V; Cao X; Alabdullatif S; Zaib SA; Wang Z; Jansen F; Yajima M; Johnson WE; Campbell JD
Patterns (N Y); 2023 Aug; 4(8):100814. PubMed ID: 37602214
[TBL] [Abstract][Full Text] [Related]
8. Protocol for executing and benchmarking eight computational doublet-detection methods in single-cell RNA sequencing data analysis.
Xi NM; Li JJ
STAR Protoc; 2021 Sep; 2(3):100699. PubMed ID: 34382023
[TBL] [Abstract][Full Text] [Related]
9. Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists.
Zhu X; Wolfgruber TK; Tasato A; Arisdakessian C; Garmire DG; Garmire LX
Genome Med; 2017 Dec; 9(1):108. PubMed ID: 29202807
[TBL] [Abstract][Full Text] [Related]
10. IBRAP: integrated benchmarking single-cell RNA-sequencing analytical pipeline.
Knight CH; Khan F; Patel A; Gill US; Okosun J; Wang J
Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36847692
[TBL] [Abstract][Full Text] [Related]
11. scruff: an R/Bioconductor package for preprocessing single-cell RNA-sequencing data.
Wang Z; Hu J; Johnson WE; Campbell JD
BMC Bioinformatics; 2019 May; 20(1):222. PubMed ID: 31046658
[TBL] [Abstract][Full Text] [Related]
12. WASP: a versatile, web-accessible single cell RNA-Seq processing platform.
Hoek A; Maibach K; Özmen E; Vazquez-Armendariz AI; Mengel JP; Hain T; Herold S; Goesmann A
BMC Genomics; 2021 Mar; 22(1):195. PubMed ID: 33736596
[TBL] [Abstract][Full Text] [Related]
13. miQC: An adaptive probabilistic framework for quality control of single-cell RNA-sequencing data.
Hippen AA; Falco MM; Weber LM; Erkan EP; Zhang K; Doherty JA; Vähärautio A; Greene CS; Hicks SC
PLoS Comput Biol; 2021 Aug; 17(8):e1009290. PubMed ID: 34428202
[TBL] [Abstract][Full Text] [Related]
14. RiboStreamR: a web application for quality control, analysis, and visualization of Ribo-seq data.
Perkins P; Mazzoni-Putman S; Stepanova A; Alonso J; Heber S
BMC Genomics; 2019 Jun; 20(Suppl 5):422. PubMed ID: 31167636
[TBL] [Abstract][Full Text] [Related]
15. Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R.
McCarthy DJ; Campbell KR; Lun AT; Wills QF
Bioinformatics; 2017 Apr; 33(8):1179-1186. PubMed ID: 28088763
[TBL] [Abstract][Full Text] [Related]
16. scAnalyzeR: A Comprehensive Software Package With Graphical User Interface for Single-Cell RNA Sequencing Analysis and its Application on Liver Cancer.
Chuwdhury GS; Ng IO; Ho DW
Technol Cancer Res Treat; 2022; 21():15330338221142729. PubMed ID: 36476060
[No Abstract] [Full Text] [Related]
17. DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics.
Ghannoum S; Leoncio Netto W; Fantini D; Ragan-Kelley B; Parizadeh A; Jonasson E; Ståhlberg A; Farhan H; Köhn-Luque A
Int J Mol Sci; 2021 Jan; 22(3):. PubMed ID: 33573289
[TBL] [Abstract][Full Text] [Related]
18. Systematic determination of the mitochondrial proportion in human and mice tissues for single-cell RNA-sequencing data quality control.
Osorio D; Cai JJ
Bioinformatics; 2021 May; 37(7):963-967. PubMed ID: 32840568
[TBL] [Abstract][Full Text] [Related]
19. Cellsnake: a user-friendly tool for single-cell RNA sequencing analysis.
Umu SU; Rapp Vander-Elst K; Karlsen VT; Chouliara M; Bækkevold ES; Jahnsen FL; Domanska D
Gigascience; 2022 Dec; 12():. PubMed ID: 37889009
[TBL] [Abstract][Full Text] [Related]
20. scNPF: an integrative framework assisted by network propagation and network fusion for preprocessing of single-cell RNA-seq data.
Ye W; Ji G; Ye P; Long Y; Xiao X; Li S; Su Y; Wu X
BMC Genomics; 2019 May; 20(1):347. PubMed ID: 31068142
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
