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Items: 1 to 20 of 111

1.

Tackling the widespread and critical impact of batch effects in high-throughput data.

Leek JT, Scharpf RB, Bravo HC, Simcha D, Langmead B, Johnson WE, Geman D, Baggerly K, Irizarry RA.

Nat Rev Genet. 2010 Oct;11(10):733-9. doi: 10.1038/nrg2825.

2.

Dichotomy in post-genomic microbiology.

Felis GE, Molenaar D, Dellaglio F, van Hylckama Vlieg JE.

Nat Biotechnol. 2007 Aug;25(8):848-9. No abstract available.

PMID:
17687355
3.

Standard operating procedures.

[No authors listed]

Nat Biotechnol. 2006 Nov;24(11):1299.

PMID:
17093453
4.

The need for standards, not guidelines, in biological data reporting and sharing.

Burgoon LD.

Nat Biotechnol. 2006 Nov;24(11):1369-73.

PMID:
17093486
5.

Microarray technology: an array of opportunities.

Gershon D.

Nature. 2002 Apr 25;416(6883):885-91. No abstract available.

PMID:
11976691
6.

What information should be required to support clinical "omics" publications?

Baggerly KA, Coombes KR.

Clin Chem. 2011 May;57(5):688-90. doi: 10.1373/clinchem.2010.158618. No abstract available.

7.

Applications of next-generation sequencing technologies in functional genomics.

Morozova O, Marra MA.

Genomics. 2008 Nov;92(5):255-64. doi: 10.1016/j.ygeno.2008.07.001. Review.

8.

Use of genomic DNA as reference in DNA microarrays.

Yang Y.

Methods Mol Biol. 2009;544:439-50. doi: 10.1007/978-1-59745-483-4_29.

PMID:
19488717
9.

Life after worms: Lynx Therapeutics, Inc.

Wells WA.

Chem Biol. 2000 Oct;7(10):R191-2. No abstract available.

10.

Integrative functional genomics.

Bulyk ML.

Genome Biol. 2004;5(7):331. No abstract available.

11.

Are we stuck in the standards?

Ball CA.

Nat Biotechnol. 2006 Nov;24(11):1374-6.

PMID:
17093487
12.

Optimal allocation of replicates for measurement evaluation studies.

Zakharkin SO, Kim K, Bartolucci AA, Page GP, Allison DB.

Genomics Proteomics Bioinformatics. 2006 Aug;4(3):196-202.

13.

Devil in the details.

[No authors listed]

Nature. 2011 Feb 17;470(7334):305-6. doi: 10.1038/470305b. No abstract available.

PMID:
21330998
14.

Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in individual and meta-analysis studies.

Martini P, Risso D, Sales G, Romualdi C, Lanfranchi G, Cagnin S.

BMC Bioinformatics. 2011 Apr 11;12:92. doi: 10.1186/1471-2105-12-92.

15.

Methods for analyzing deep sequencing expression data: constructing the human and mouse promoterome with deepCAGE data.

Balwierz PJ, Carninci P, Daub CO, Kawai J, Hayashizaki Y, Van Belle W, Beisel C, van Nimwegen E.

Genome Biol. 2009;10(7):R79. doi: 10.1186/gb-2009-10-7-r79.

16.

Challenges and approaches to statistical design and inference in high-dimensional investigations.

Gadbury GL, Garrett KA, Allison DB.

Methods Mol Biol. 2009;553:181-206. doi: 10.1007/978-1-60327-563-7_9. Review.

17.

Standards for microarray data.

Ball CA, Sherlock G, Parkinson H, Rocca-Sera P, Brooksbank C, Causton HC, Cavalieri D, Gaasterland T, Hingamp P, Holstege F, Ringwald M, Spellman P, Stoeckert CJ Jr, Stewart JE, Taylor R, Brazma A, Quackenbush J; Microarray Gene Expression Data (MGED) Society..

Science. 2002 Oct 18;298(5593):539. No abstract available.

PMID:
12387284
18.

Prevention, diagnosis and treatment of high-throughput sequencing data pathologies.

Zhou X, Rokas A.

Mol Ecol. 2014 Apr;23(7):1679-700. doi: 10.1111/mec.12680. Review.

PMID:
24471475
19.

Design and analysis of experiments with high throughput biological assay data.

Rocke DM.

Semin Cell Dev Biol. 2004 Dec;15(6):703-13. Review.

PMID:
15561590
20.

Not-so-incidental findings: the ACMG recommendations on the reporting of incidental findings in clinical whole genome and whole exome sequencing.

Allyse M, Michie M.

Trends Biotechnol. 2013 Aug;31(8):439-41. doi: 10.1016/j.tibtech.2013.04.006. No abstract available.

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