These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
173 related articles for article (PubMed ID: 30841853)
41. BingleSeq: a user-friendly R package for bulk and single-cell RNA-Seq data analysis. Dimitrov D; Gu Q PeerJ; 2020; 8():e10469. PubMed ID: 33391870 [TBL] [Abstract][Full Text] [Related]
42. BIOMEX: an interactive workflow for (single cell) omics data interpretation and visualization. Taverna F; Goveia J; Karakach TK; Khan S; Rohlenova K; Treps L; Subramanian A; Schoonjans L; Dewerchin M; Eelen G; Carmeliet P Nucleic Acids Res; 2020 Jul; 48(W1):W385-W394. PubMed ID: 32392297 [TBL] [Abstract][Full Text] [Related]
43. Pipeline for Integrated Microarray Expression Normalization Tool Kit (PIMENTo) for Tumor Microarray Profiling Experiments. Nash T; Huff M; Glen WB; Hardiman G Methods Mol Biol; 2019; 1908():153-168. PubMed ID: 30649727 [TBL] [Abstract][Full Text] [Related]
44. An automated RNA-Seq analysis pipeline to identify and visualize differentially expressed genes and pathways in CHO cells. Chen C; Le H; Goudar CT Biotechnol Prog; 2015; 31(5):1150-62. PubMed ID: 26150012 [TBL] [Abstract][Full Text] [Related]
45. Using microarray-based subtyping methods for breast cancer in the era of high-throughput RNA sequencing. Pedersen CB; Nielsen FC; Rossing M; Olsen LR Mol Oncol; 2018 Dec; 12(12):2136-2146. PubMed ID: 30289602 [TBL] [Abstract][Full Text] [Related]
46. Pro-MAP: a robust pipeline for the pre-processing of single channel protein microarray data. Mowoe MO; Garnett S; Lennard K; Talbot J; Townsend P; Jonas E; Blackburn JM BMC Bioinformatics; 2022 Dec; 23(1):534. PubMed ID: 36494629 [TBL] [Abstract][Full Text] [Related]
48. ROGUE: an R Shiny app for RNA sequencing analysis and biomarker discovery. Farrel A; Li P; Veenbergen S; Patel K; Maris JM; Leonard WJ BMC Bioinformatics; 2023 Jul; 24(1):303. PubMed ID: 37516886 [TBL] [Abstract][Full Text] [Related]
49. 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]
50. FungiExpresZ: an intuitive package for fungal gene expression data analysis, visualization and discovery. Parsania C; Chen R; Sethiya P; Miao Z; Dong L; Wong KH Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36806894 [TBL] [Abstract][Full Text] [Related]
51. webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration. Zhang Z; Cui F; Su W; Dou L; Xu A; Cao C; Zou Q Bioinformatics; 2022 Jun; 38(13):3488-3489. PubMed ID: 35604082 [TBL] [Abstract][Full Text] [Related]
52. IRIS-EDA: An integrated RNA-Seq interpretation system for gene expression data analysis. Monier B; McDermaid A; Wang C; Zhao J; Miller A; Fennell A; Ma Q PLoS Comput Biol; 2019 Feb; 15(2):e1006792. PubMed ID: 30763315 [TBL] [Abstract][Full Text] [Related]
53. 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]
54. ASAP: a web-based platform for the analysis and interactive visualization of single-cell RNA-seq data. Gardeux V; David FPA; Shajkofci A; Schwalie PC; Deplancke B Bioinformatics; 2017 Oct; 33(19):3123-3125. PubMed ID: 28541377 [TBL] [Abstract][Full Text] [Related]
55. funcExplorer: a tool for fast data-driven functional characterisation of high-throughput expression data. Kolberg L; Kuzmin I; Adler P; Vilo J; Peterson H BMC Genomics; 2018 Nov; 19(1):817. PubMed ID: 30428831 [TBL] [Abstract][Full Text] [Related]
56. EDGE(3): a web-based solution for management and analysis of Agilent two color microarray experiments. Vollrath AL; Smith AA; Craven M; Bradfield CA BMC Bioinformatics; 2009 Sep; 10():280. PubMed ID: 19732451 [TBL] [Abstract][Full Text] [Related]