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Showing 1 to 12 of 31 entries
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QTLMAS 2009: simulated dataset.

BMC proceedings

Coster A, Bastiaansen JW, Calus MP, Maliepaard C, Bink MC.
PMID: 20380757
BMC Proc. 2010 Mar 31;4:S3. doi: 10.1186/1753-6561-4-S1-S3.

BACKGROUND: The simulation of the data for the QTLMAS 2009 Workshop is described. Objective was to simulate observations from a growth curve which was influenced by a number of QTL.RESULTS: The data consisted of markers, phenotypes and pedigree. Genotypes...

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Coster A, Bastiaansen JW, Calus MP, et al. QTLMAS 2009: simulated dataset. BMC Proc. 2010;4:S3doi: 10.1186/1753-6561-4-S1-S3.
Coster, A., Bastiaansen, J. W., Calus, M. P., Maliepaard, C., & Bink, M. C. (2010). QTLMAS 2009: simulated dataset. BMC proceedings, 4S3. https://doi.org/10.1186/1753-6561-4-S1-S3
Coster, Albart, et al. "QTLMAS 2009: simulated dataset." BMC proceedings vol. 4 (2010): S3. doi: https://doi.org/10.1186/1753-6561-4-S1-S3
Coster A, Bastiaansen JW, Calus MP, Maliepaard C, Bink MC. QTLMAS 2009: simulated dataset. BMC Proc. 2010 Mar 31;4:S3. doi: 10.1186/1753-6561-4-S1-S3. PMID: 20380757; PMCID: PMC2857845.
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Length scales at the metal-insulator transition in compensated GaAs.

Physical review letters

Hill G, Maliepaard MC, Newbury R, Pepper M.
PMID: 10039313
Phys Rev Lett. 1988 Jul 18;61(3):369-372. doi: 10.1103/PhysRevLett.61.369.

No abstract available.

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Hill G, Maliepaard MC, Newbury R, et al. Length scales at the metal-insulator transition in compensated GaAs. Phys Rev Lett. 1988;61(3):369-372doi: 10.1103/PhysRevLett.61.369.
Hill, G., Maliepaard, M. C., Newbury, R., & Pepper, M. (1988). Length scales at the metal-insulator transition in compensated GaAs. Physical review letters, 61(3), 369-372. https://doi.org/10.1103/PhysRevLett.61.369
Hill, et al. "Length scales at the metal-insulator transition in compensated GaAs." Physical review letters vol. 61,3 (1988): 369-372. doi: https://doi.org/10.1103/PhysRevLett.61.369
Hill G, Maliepaard MC, Newbury R, Pepper M. Length scales at the metal-insulator transition in compensated GaAs. Phys Rev Lett. 1988 Jul 18;61(3):369-372. doi: 10.1103/PhysRevLett.61.369. PMID: 10039313.
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Family-Based Haplotype Estimation and Allele Dosage Correction for Polyploids Using Short Sequence Reads.

Frontiers in genetics

Motazedi E, Maliepaard C, Finkers R, Visser R, de Ridder D.
PMID: 31040862
Front Genet. 2019 Apr 16;10:335. doi: 10.3389/fgene.2019.00335. eCollection 2019.

DNA sequence reads contain information about the genomic variants located on a single chromosome. By extracting and extending this information using the overlaps between the reads, the haplotypes of an individual can be obtained. Using parent-offspring relationships in a...

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Motazedi E, Maliepaard C, Finkers R, et al. Family-Based Haplotype Estimation and Allele Dosage Correction for Polyploids Using Short Sequence Reads. Front Genet. 2019;10:335doi: 10.3389/fgene.2019.00335.
Motazedi, E., Maliepaard, C., Finkers, R., Visser, R., & de Ridder, D. (2019). Family-Based Haplotype Estimation and Allele Dosage Correction for Polyploids Using Short Sequence Reads. Frontiers in genetics, 10335. https://doi.org/10.3389/fgene.2019.00335
Motazedi, Ehsan, et al. "Family-Based Haplotype Estimation and Allele Dosage Correction for Polyploids Using Short Sequence Reads." Frontiers in genetics vol. 10 (2019): 335. doi: https://doi.org/10.3389/fgene.2019.00335
Motazedi E, Maliepaard C, Finkers R, Visser R, de Ridder D. Family-Based Haplotype Estimation and Allele Dosage Correction for Polyploids Using Short Sequence Reads. Front Genet. 2019 Apr 16;10:335. doi: 10.3389/fgene.2019.00335. eCollection 2019. PMID: 31040862; PMCID: PMC6477055.
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Random-field effects on Ising Jahn-Teller phase transitions.

Physical review. B, Condensed matter

Graham JT, Maliepaard M, Page JH, Smith SR, Taylor DR.
PMID: 9941654
Phys Rev B Condens Matter. 1987 Feb 01;35(4):2098-2101. doi: 10.1103/physrevb.35.2098.

No abstract available.

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Graham JT, Maliepaard M, Page JH, et al. Random-field effects on Ising Jahn-Teller phase transitions. Phys Rev B Condens Matter. 1987;35(4):2098-2101doi: 10.1103/physrevb.35.2098.
Graham, J. T., Maliepaard, M., Page, J. H., Smith, S. R., & Taylor, D. R. (1987). Random-field effects on Ising Jahn-Teller phase transitions. Physical review. B, Condensed matter, 35(4), 2098-2101. https://doi.org/10.1103/physrevb.35.2098
Graham, et al. "Random-field effects on Ising Jahn-Teller phase transitions." Physical review. B, Condensed matter vol. 35,4 (1987): 2098-2101. doi: https://doi.org/10.1103/physrevb.35.2098
Graham JT, Maliepaard M, Page JH, Smith SR, Taylor DR. Random-field effects on Ising Jahn-Teller phase transitions. Phys Rev B Condens Matter. 1987 Feb 01;35(4):2098-2101. doi: 10.1103/physrevb.35.2098. PMID: 9941654.
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Evidence of a magnetic-field-induced insulator-metal-insulator transition.

Physical review. B, Condensed matter

Frost JE, Hill G, Jones GA, Maliepaard MC, Newbury R, Peacock DC, Pepper M, Ritchie DA.
PMID: 9948347
Phys Rev B Condens Matter. 1989 Jan 15;39(2):1430-1433. doi: 10.1103/physrevb.39.1430.

No abstract available.

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Frost JE, Hill G, Jones GA, et al. Evidence of a magnetic-field-induced insulator-metal-insulator transition. Phys Rev B Condens Matter. 1989;39(2):1430-1433doi: 10.1103/physrevb.39.1430.
Frost, J. E., Hill, G., Jones, G. A., Maliepaard, M. C., Newbury, R., Peacock, D. C., Pepper, M., & Ritchie, D. A. (1989). Evidence of a magnetic-field-induced insulator-metal-insulator transition. Physical review. B, Condensed matter, 39(2), 1430-1433. https://doi.org/10.1103/physrevb.39.1430
Frost, et al. "Evidence of a magnetic-field-induced insulator-metal-insulator transition." Physical review. B, Condensed matter vol. 39,2 (1989): 1430-1433. doi: https://doi.org/10.1103/physrevb.39.1430
Frost JE, Hill G, Jones GA, Maliepaard MC, Newbury R, Peacock DC, Pepper M, Ritchie DA. Evidence of a magnetic-field-induced insulator-metal-insulator transition. Phys Rev B Condens Matter. 1989 Jan 15;39(2):1430-1433. doi: 10.1103/physrevb.39.1430. PMID: 9948347.
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A multidisciplinary neuro-oncological triage panel reduces the time to referral and treatment for patients with a brain tumor.

Neuro-oncology practice

de Swart ME, Kouwenhoven MCM, Hellingman T, Kuiper BI, Gorter de Vries C, Leembruggen-Vellinga M, Maliepaard NK, Wouda EJ, Moraal B, Noske DP, Postma TJ, Sanchez Aliaga E, Uitdehaag BMJ, Vandertop WP, Zonderhuis BM, Kazemier G, de Witt Hamer PC, Schuur M.
PMID: 34589232
Neurooncol Pract. 2021 Jul 06;8(5):559-568. doi: 10.1093/nop/npab040. eCollection 2021 Oct.

BACKGROUND: Regional collaboration and appropriate referral management are crucial in neuro-oncological care. Lack of electronic access to medical records across health care organizations impedes interhospital consultation and may lead to incomplete and delayed referrals. To improve referral management, we...

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de Swart ME, Kouwenhoven MCM, Hellingman T, et al. A multidisciplinary neuro-oncological triage panel reduces the time to referral and treatment for patients with a brain tumor. Neurooncol Pract. 2021;8(5):559-568doi: 10.1093/nop/npab040.
de Swart, M. E., Kouwenhoven, M. C. M., Hellingman, T., Kuiper, B. I., Gorter de Vries, C., Leembruggen-Vellinga, M., Maliepaard, N. K., Wouda, E. J., Moraal, B., Noske, D. P., Postma, T. J., Sanchez Aliaga, E., Uitdehaag, B. M. J., Vandertop, W. P., Zonderhuis, B. M., Kazemier, G., de Witt Hamer, P. C., & Schuur, M. (2021). A multidisciplinary neuro-oncological triage panel reduces the time to referral and treatment for patients with a brain tumor. Neuro-oncology practice, 8(5), 559-568. https://doi.org/10.1093/nop/npab040
de Swart, Merijn E, et al. "A multidisciplinary neuro-oncological triage panel reduces the time to referral and treatment for patients with a brain tumor." Neuro-oncology practice vol. 8,5 (2021): 559-568. doi: https://doi.org/10.1093/nop/npab040
de Swart ME, Kouwenhoven MCM, Hellingman T, Kuiper BI, Gorter de Vries C, Leembruggen-Vellinga M, Maliepaard NK, Wouda EJ, Moraal B, Noske DP, Postma TJ, Sanchez Aliaga E, Uitdehaag BMJ, Vandertop WP, Zonderhuis BM, Kazemier G, de Witt Hamer PC, Schuur M. A multidisciplinary neuro-oncological triage panel reduces the time to referral and treatment for patients with a brain tumor. Neurooncol Pract. 2021 Jul 06;8(5):559-568. doi: 10.1093/nop/npab040. eCollection 2021 Oct. PMID: 34589232; PMCID: PMC8475234.
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polymapR-linkage analysis and genetic map construction from F1 populations of outcrossing polyploids.

Bioinformatics (Oxford, England)

Bourke PM, van Geest G, Voorrips RE, Jansen J, Kranenburg T, Shahin A, Visser RGF, Arens P, Smulders MJM, Maliepaard C.
PMID: 30629112
Bioinformatics. 2019 Feb 01;35(3):540. doi: 10.1093/bioinformatics/bty1002.

No abstract available.

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Bourke PM, van Geest G, Voorrips RE, et al. polymapR-linkage analysis and genetic map construction from F1 populations of outcrossing polyploids. Bioinformatics. 2019;35(3):540doi: 10.1093/bioinformatics/bty1002.
Bourke, P. M., van Geest, G., Voorrips, R. E., Jansen, J., Kranenburg, T., Shahin, A., Visser, R. G. F., Arens, P., Smulders, M. J. M., & Maliepaard, C. (2019). polymapR-linkage analysis and genetic map construction from F1 populations of outcrossing polyploids. Bioinformatics (Oxford, England), 35(3), 540. https://doi.org/10.1093/bioinformatics/bty1002
Bourke, Peter M, et al. "polymapR-linkage analysis and genetic map construction from F1 populations of outcrossing polyploids." Bioinformatics (Oxford, England) vol. 35,3 (2019): 540. doi: https://doi.org/10.1093/bioinformatics/bty1002
Bourke PM, van Geest G, Voorrips RE, Jansen J, Kranenburg T, Shahin A, Visser RGF, Arens P, Smulders MJM, Maliepaard C. polymapR-linkage analysis and genetic map construction from F1 populations of outcrossing polyploids. Bioinformatics. 2019 Feb 01;35(3):540. doi: 10.1093/bioinformatics/bty1002. PMID: 30629112; PMCID: PMC6361235.
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Inheritance and QTL analysis of the determinants of flower color in tetraploid cut roses.

Molecular breeding : new strategies in plant improvement

Gitonga VW, Stolker R, Koning-Boucoiran CF, Aelaei M, Visser RG, Maliepaard C, Krens FA.
PMID: 27795693
Mol Breed. 2016;36(10):143. doi: 10.1007/s11032-016-0565-9. Epub 2016 Oct 07.

The success of cut rose cultivars is a direct result of their aesthetic value. The rose industry thrives on novelty, and the production of novel flower color has been extensively studied. The most popular color is red, and it...

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Gitonga VW, Stolker R, Koning-Boucoiran CF, et al. Inheritance and QTL analysis of the determinants of flower color in tetraploid cut roses. Mol Breed. 2016;36(10):143doi: 10.1007/s11032-016-0565-9.
Gitonga, V. W., Stolker, R., Koning-Boucoiran, C. F., Aelaei, M., Visser, R. G., Maliepaard, C., & Krens, F. A. (2016). Inheritance and QTL analysis of the determinants of flower color in tetraploid cut roses. Molecular breeding : new strategies in plant improvement, 36(10), 143. https://doi.org/10.1007/s11032-016-0565-9
Gitonga, Virginia W, et al. "Inheritance and QTL analysis of the determinants of flower color in tetraploid cut roses." Molecular breeding : new strategies in plant improvement vol. 36,10 (2016): 143. doi: https://doi.org/10.1007/s11032-016-0565-9
Gitonga VW, Stolker R, Koning-Boucoiran CF, Aelaei M, Visser RG, Maliepaard C, Krens FA. Inheritance and QTL analysis of the determinants of flower color in tetraploid cut roses. Mol Breed. 2016;36(10):143. doi: 10.1007/s11032-016-0565-9. Epub 2016 Oct 07. PMID: 27795693; PMCID: PMC5055553.
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Response to: 'Driven to distraction and driving for excellence in ward round practice' by Pucher and Aggarwal.

BMJ quality & safety

Thomas I, Nicol L, Regan L, Cleland J, Maliepaard D, Clark L, Walker K, Duncan J.
PMID: 25710181
BMJ Qual Saf. 2015 Apr;24(4):291-2. doi: 10.1136/bmjqs-2015-004014. Epub 2015 Feb 20.

No abstract available.

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Thomas I, Nicol L, Regan L, et al. Response to: 'Driven to distraction and driving for excellence in ward round practice' by Pucher and Aggarwal. BMJ Qual Saf. 2015;24(4):291-2doi: 10.1136/bmjqs-2015-004014.
Thomas, I., Nicol, L., Regan, L., Cleland, J., Maliepaard, D., Clark, L., Walker, K., & Duncan, J. (2015). Response to: 'Driven to distraction and driving for excellence in ward round practice' by Pucher and Aggarwal. BMJ quality & safety, 24(4), 291-2. https://doi.org/10.1136/bmjqs-2015-004014
Thomas, Ian, et al. "Response to: 'Driven to distraction and driving for excellence in ward round practice' by Pucher and Aggarwal." BMJ quality & safety vol. 24,4 (2015): 291-2. doi: https://doi.org/10.1136/bmjqs-2015-004014
Thomas I, Nicol L, Regan L, Cleland J, Maliepaard D, Clark L, Walker K, Duncan J. Response to: 'Driven to distraction and driving for excellence in ward round practice' by Pucher and Aggarwal. BMJ Qual Saf. 2015 Apr;24(4):291-2. doi: 10.1136/bmjqs-2015-004014. Epub 2015 Feb 20. PMID: 25710181.
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Detecting quantitative trait loci and exploring chromosomal pairing in autopolyploids using polyqtlR.

Bioinformatics (Oxford, England)

Bourke PM, Voorrips RE, Hackett CA, van Geest G, Willemsen JH, Arens P, Smulders MJM, Visser RGF, Maliepaard C.
PMID: 34358315
Bioinformatics. 2021 Aug 06; doi: 10.1093/bioinformatics/btab574. Epub 2021 Aug 06.

MOTIVATION: The investigation of quantitative trait loci (QTL) is an essential component in our understanding of how organisms vary phenotypically. However, many important crop species are polyploid (carrying more than two copies of each chromosome), requiring specialised tools for...

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Bourke PM, Voorrips RE, Hackett CA, et al. Detecting quantitative trait loci and exploring chromosomal pairing in autopolyploids using polyqtlR. Bioinformatics. 2021;doi: 10.1093/bioinformatics/btab574.
Bourke, P. M., Voorrips, R. E., Hackett, C. A., van Geest, G., Willemsen, J. H., Arens, P., Smulders, M. J. M., Visser, R. G. F., & Maliepaard, C. (2021). Detecting quantitative trait loci and exploring chromosomal pairing in autopolyploids using polyqtlR. Bioinformatics (Oxford, England), . https://doi.org/10.1093/bioinformatics/btab574
Bourke, Peter M, et al. "Detecting quantitative trait loci and exploring chromosomal pairing in autopolyploids using polyqtlR." Bioinformatics (Oxford, England) vol. (2021). doi: https://doi.org/10.1093/bioinformatics/btab574
Bourke PM, Voorrips RE, Hackett CA, van Geest G, Willemsen JH, Arens P, Smulders MJM, Visser RGF, Maliepaard C. Detecting quantitative trait loci and exploring chromosomal pairing in autopolyploids using polyqtlR. Bioinformatics. 2021 Aug 06; doi: 10.1093/bioinformatics/btab574. Epub 2021 Aug 06. PMID: 34358315; PMCID: PMC8570814.
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Understanding the Effectiveness of Genomic Prediction in Tetraploid Potato.

Frontiers in plant science

Wilson S, Zheng C, Maliepaard C, Mulder HA, Visser RGF, van der Burgt A, van Eeuwijk F.
PMID: 34434201
Front Plant Sci. 2021 Aug 09;12:672417. doi: 10.3389/fpls.2021.672417. eCollection 2021.

Use of genomic prediction (GP) in tetraploid is becoming more common. Therefore, we think it is the right time for a comparison of GP models for tetraploid potato. GP models were compared that contrasted shrinkage with variable selection, parametric...

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Wilson S, Zheng C, Maliepaard C, et al. Understanding the Effectiveness of Genomic Prediction in Tetraploid Potato. Front Plant Sci. 2021;12:672417doi: 10.3389/fpls.2021.672417.
Wilson, S., Zheng, C., Maliepaard, C., Mulder, H. A., Visser, R. G. F., van der Burgt, A., & van Eeuwijk, F. (2021). Understanding the Effectiveness of Genomic Prediction in Tetraploid Potato. Frontiers in plant science, 12672417. https://doi.org/10.3389/fpls.2021.672417
Wilson, Stefan, et al. "Understanding the Effectiveness of Genomic Prediction in Tetraploid Potato." Frontiers in plant science vol. 12 (2021): 672417. doi: https://doi.org/10.3389/fpls.2021.672417
Wilson S, Zheng C, Maliepaard C, Mulder HA, Visser RGF, van der Burgt A, van Eeuwijk F. Understanding the Effectiveness of Genomic Prediction in Tetraploid Potato. Front Plant Sci. 2021 Aug 09;12:672417. doi: 10.3389/fpls.2021.672417. eCollection 2021. PMID: 34434201; PMCID: PMC8381724.
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Multi-trait QTL analysis for agronomic and quality characters of Agaricus bisporus (button mushrooms).

AMB Express

Gao W, Baars JJP, Maliepaard C, Visser RGF, Zhang J, Sonnenberg ASM.
PMID: 27620731
AMB Express. 2016 Dec;6(1):67. doi: 10.1186/s13568-016-0239-3. Epub 2016 Sep 08.

The demand for button mushrooms of high quality is increasing. Superior button mushroom varieties require the combination of multiple traits to maximize productivity and quality. Very often these traits are correlated and should, therefore, be evaluated together rather than...

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Gao W, Baars JJP, Maliepaard C, et al. Multi-trait QTL analysis for agronomic and quality characters of Agaricus bisporus (button mushrooms). AMB Express. 2016;6(1):67doi: 10.1186/s13568-016-0239-3.
Gao, W., Baars, J. J. P., Maliepaard, C., Visser, R. G. F., Zhang, J., & Sonnenberg, A. S. M. (2016). Multi-trait QTL analysis for agronomic and quality characters of Agaricus bisporus (button mushrooms). AMB Express, 6(1), 67. https://doi.org/10.1186/s13568-016-0239-3
Gao, Wei, et al. "Multi-trait QTL analysis for agronomic and quality characters of Agaricus bisporus (button mushrooms)." AMB Express vol. 6,1 (2016): 67. doi: https://doi.org/10.1186/s13568-016-0239-3
Gao W, Baars JJP, Maliepaard C, Visser RGF, Zhang J, Sonnenberg ASM. Multi-trait QTL analysis for agronomic and quality characters of Agaricus bisporus (button mushrooms). AMB Express. 2016 Dec;6(1):67. doi: 10.1186/s13568-016-0239-3. Epub 2016 Sep 08. PMID: 27620731; PMCID: PMC5016490.
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Showing 1 to 12 of 31 entries