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Best matches for bioconductor:

Orchestrating high-throughput genomic analysis with Bioconductor. Huber W et al. Nat Methods. (2015)

Visualization of proteomics data using R and bioconductor. Gatto L et al. Proteomics. (2015)

ChIPseeker: an R/Bioconductor package for ChIP peak annotation, comparison and visualization. Yu G et al. Bioinformatics. (2015)

Search results

Items: 1 to 20 of 1090

1.

A transcriptomics model of estrogen action in the ovine fetal hypothalamus: evidence for estrogenic effects of ICI 182,780.

Rabaglino MB, Keller-Wood M, Wood CE.

Physiol Rep. 2018 Sep;6(18):e13871. doi: 10.14814/phy2.13871.

PMID:
30221477
2.

Negative pressure wound therapy in the treatment of diabetic foot ulcers may be mediated through differential gene expression.

Borys S, Ludwig-Slomczynska AH, Seweryn M, Hohendorff J, Koblik T, Machlowska J, Kiec-Wilk B, Wolkow P, Malecki MT.

Acta Diabetol. 2018 Sep 17. doi: 10.1007/s00592-018-1223-y. [Epub ahead of print]

PMID:
30221321
3.

A three miRNAs signature for predicting the transformation of oral leukoplakia to oral squamous cell carcinoma.

Chen H, Liu X, Jin Z, Gou C, Liang M, Cui L, Zhao X.

Am J Cancer Res. 2018 Aug 1;8(8):1403-1413. eCollection 2018.

PMID:
30210912
4.

drawProteins: a Bioconductor/R package for reproducible and programmatic generation of protein schematics.

Brennan P.

F1000Res. 2018 Jul 18;7:1105. doi: 10.12688/f1000research.14541.1. eCollection 2018.

PMID:
30210791
5.

Analyzing the disease module associated with osteosarcoma via a network- and pathway-based approach.

Zhang Y, Yang F.

Exp Ther Med. 2018 Sep;16(3):2584-2592. doi: 10.3892/etm.2018.6506. Epub 2018 Jul 23.

PMID:
30210606
6.

metaGraphite - a new layer of pathway annotation to get metabolite networks.

Sales G, Calura E, Romualdi C.

Bioinformatics. 2018 Sep 4. doi: 10.1093/bioinformatics/bty719. [Epub ahead of print]

PMID:
30184047
7.

clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasets.

Risso D, Purvis L, Fletcher RB, Das D, Ngai J, Dudoit S, Purdom E.

PLoS Comput Biol. 2018 Sep 4;14(9):e1006378. doi: 10.1371/journal.pcbi.1006378. eCollection 2018 Sep.

8.

Robust prediction of clinical outcomes using cytometry data.

Hu Z, Glicksberg BS, Butte AJ.

Bioinformatics. 2018 Aug 31. doi: 10.1093/bioinformatics/bty768. [Epub ahead of print]

PMID:
30169745
9.

Epiviz Web Components: reusable and extensible component library to visualize functional genomic datasets.

Kancherla J, Zhang A, Gottfried B, Bravo HC.

F1000Res. 2018 Jul 17;7:1096. doi: 10.12688/f1000research.15433.1. eCollection 2018.

10.

Interpretation of differential gene expression results of RNA-seq data: review and integration.

McDermaid A, Monier B, Zhao J, Liu B, Ma Q.

Brief Bioinform. 2018 Aug 6. doi: 10.1093/bib/bby067. [Epub ahead of print]

PMID:
30099484
11.

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 10;14(8):e1006361. doi: 10.1371/journal.pcbi.1006361. eCollection 2018 Aug.

12.

IDTAXA: a novel approach for accurate taxonomic classification of microbiome sequences.

Murali A, Bhargava A, Wright ES.

Microbiome. 2018 Aug 9;6(1):140. doi: 10.1186/s40168-018-0521-5.

13.

Detection of de novo copy number deletions from targeted sequencing of trios.

Fu JM, Leslie EJ, Scott AF, Murray JC, Marazita ML, Beaty TH, Scharpf RB, Ruczinski I.

Bioinformatics. 2018 Aug 2. doi: 10.1093/bioinformatics/bty677. [Epub ahead of print]

PMID:
30084993
14.

Identification of key genes and pathways associated with osteogenic differentiation of adipose stem cells.

Zhao X, Liang M, Li X, Qiu X, Cui L.

J Cell Physiol. 2018 Aug 5. doi: 10.1002/jcp.26943. [Epub ahead of print]

PMID:
30078218
15.

MetaCyto: A Tool for Automated Meta-analysis of Mass and Flow Cytometry Data.

Hu Z, Jujjavarapu C, Hughey JJ, Andorf S, Lee HC, Gherardini PF, Spitzer MH, Thomas CG, Campbell J, Dunn P, Wiser J, Kidd BA, Dudley JT, Nolan GP, Bhattacharya S, Butte AJ.

Cell Rep. 2018 Jul 31;24(5):1377-1388. doi: 10.1016/j.celrep.2018.07.003.

16.

HiCcompare: an R-package for joint normalization and comparison of HI-C datasets.

Stansfield JC, Cresswell KG, Vladimirov VI, Dozmorov MG.

BMC Bioinformatics. 2018 Jul 31;19(1):279. doi: 10.1186/s12859-018-2288-x.

17.

Exploring the Genetic Landscape of Metabolic Phenotypes with MetaboSignal.

Rodriguez-Martinez A, Ayala R, Posma JM, Dumas ME.

Curr Protoc Bioinformatics. 2018 Mar;61(1):14.14.1-14.14.13. doi: 10.1002/cpbi.41.

PMID:
30040169
18.

RSEQREP: RNA-Seq Reports, an open-source cloud-enabled framework for reproducible RNA-Seq data processing, analysis, and result reporting.

Jensen TL, Frasketi M, Conway K, Villarroel L, Hill H, Krampis K, Goll JB.

Version 2. F1000Res. 2017 Dec 21 [revised 2018 Jan 1];6:2162. doi: 10.12688/f1000research.13049.2. eCollection 2017.

19.

In Vivo Metabolic Tracing Demonstrates the Site-Specific Contribution of Hepatic Ethanol Metabolism to Histone Acetylation.

Kriss CL, Gregory-Lott E, Storey AJ, Tackett AJ, Wahls WP, Stevens SM Jr.

Alcohol Clin Exp Res. 2018 Jul 21. doi: 10.1111/acer.13843. [Epub ahead of print]

PMID:
30030934
20.

Random Walk with Restart on Multiplex and Heterogeneous Biological Networks.

Valdeolivas A, Tichit L, Navarro C, Perrin S, Odelin G, Levy N, Cau P, Remy E, Baudot A.

Bioinformatics. 2018 Jul 18. doi: 10.1093/bioinformatics/bty637. [Epub ahead of print]

PMID:
30020411

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