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Bioconductor: open software development for computational biology and bioinformatics.

Genome biology

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JY, Zhang J.
PMID: 15461798
Genome Biol. 2004;5(10):R80. doi: 10.1186/gb-2004-5-10-r80. Epub 2004 Sep 15.

The Bioconductor project is an initiative for the collaborative creation of extensible software for computational biology and bioinformatics. The goals of the project include: fostering collaborative development and widespread use of innovative software, reducing barriers to entry into interdisciplinary...

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Gentleman RC, Carey VJ, Bates DM, et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 2004;5(10):R80doi: 10.1186/gb-2004-5-10-r80.
Gentleman, R. C., Carey, V. J., Bates, D. M., Bolstad, B., Dettling, M., Dudoit, S., Ellis, B., Gautier, L., Ge, Y., Gentry, J., Hornik, K., Hothorn, T., Huber, W., Iacus, S., Irizarry, R., Leisch, F., Li, C., Maechler, M., Rossini, A. J., Sawitzki, G., Smith, C., Smyth, G., Tierney, L., Yang, J. Y., & Zhang, J. (2004). Bioconductor: open software development for computational biology and bioinformatics. Genome biology, 5(10), R80. https://doi.org/10.1186/gb-2004-5-10-r80
Gentleman, Robert C, et al. "Bioconductor: open software development for computational biology and bioinformatics." Genome biology vol. 5,10 (2004): R80. doi: https://doi.org/10.1186/gb-2004-5-10-r80
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JY, Zhang J. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 2004;5(10):R80. doi: 10.1186/gb-2004-5-10-r80. Epub 2004 Sep 15. PMID: 15461798; PMCID: PMC545600.
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From Pictures to Knowledge, Bio-Image Informatics Coming of Age.

Advances in anatomy, embryology, and cell biology

[No authors listed]
PMID: 27464363
Adv Anat Embryol Cell Biol. 2016;219:v-vi.

No abstract available.

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From Pictures to Knowledge, Bio-Image Informatics Coming of Age. Adv Anat Embryol Cell Biol. 2016;219:v-vi
(2016). From Pictures to Knowledge, Bio-Image Informatics Coming of Age. Advances in anatomy, embryology, and cell biology, 219v-vi.
"From Pictures to Knowledge, Bio-Image Informatics Coming of Age." Advances in anatomy, embryology, and cell biology vol. 219 (2016): v-vi.
From Pictures to Knowledge, Bio-Image Informatics Coming of Age. Adv Anat Embryol Cell Biol. 2016;219:v-vi. PMID: 27464363.
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Interoperability calls for an unusual mix of skills.

Nature

Campagne F.
PMID: 12110864
Nature. 2002 Jul 11;418(6894):125. doi: 10.1038/418125a.

No abstract available.

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Campagne F. Interoperability calls for an unusual mix of skills. Nature. 2002;418(6894):125doi: 10.1038/418125a.
Campagne, F. (2002). Interoperability calls for an unusual mix of skills. Nature, 418(6894), 125. https://doi.org/10.1038/418125a
Campagne, Fabien. "Interoperability calls for an unusual mix of skills." Nature vol. 418,6894 (2002): 125. doi: https://doi.org/10.1038/418125a
Campagne F. Interoperability calls for an unusual mix of skills. Nature. 2002 Jul 11;418(6894):125. doi: 10.1038/418125a. PMID: 12110864.
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Ten quick tips for using a Raspberry Pi.

PLoS computational biology

Fletcher AC, Mura C.
PMID: 31048834
PLoS Comput Biol. 2019 May 02;15(5):e1006959. doi: 10.1371/journal.pcbi.1006959. eCollection 2019 May.

No abstract available.

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Fletcher AC, Mura C. Ten quick tips for using a Raspberry Pi. PLoS Comput Biol. 2019;15(5):e1006959doi: 10.1371/journal.pcbi.1006959.
Fletcher, A. C., & Mura, C. (2019). Ten quick tips for using a Raspberry Pi. PLoS computational biology, 15(5), e1006959. https://doi.org/10.1371/journal.pcbi.1006959
Fletcher, Anthony C, and Mura, Cameron. "Ten quick tips for using a Raspberry Pi." PLoS computational biology vol. 15,5 (2019): e1006959. doi: https://doi.org/10.1371/journal.pcbi.1006959
Fletcher AC, Mura C. Ten quick tips for using a Raspberry Pi. PLoS Comput Biol. 2019 May 02;15(5):e1006959. doi: 10.1371/journal.pcbi.1006959. eCollection 2019 May. PMID: 31048834; PMCID: PMC6497221.
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Software simplified.

Nature

Silver A.
PMID: 28569835
Nature. 2017 May 29;546(7656):173-174. doi: 10.1038/546173a.

No abstract available.

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Silver A. Software simplified. Nature. 2017;546(7656):173-174doi: 10.1038/546173a.
Silver, A. (2017). Software simplified. Nature, 546(7656), 173-174. https://doi.org/10.1038/546173a
Silver, Andrew. "Software simplified." Nature vol. 546,7656 (2017): 173-174. doi: https://doi.org/10.1038/546173a
Silver A. Software simplified. Nature. 2017 May 29;546(7656):173-174. doi: 10.1038/546173a. PMID: 28569835.
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Forecast calls for clouds over biological computing.

Nature medicine

May M.
PMID: 20057394
Nat Med. 2010 Jan;16(1):6. doi: 10.1038/nm0110-6a.

No abstract available.

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May M. Forecast calls for clouds over biological computing. Nat Med. 2010;16(1):6doi: 10.1038/nm0110-6a.
May, M. (2010). Forecast calls for clouds over biological computing. Nature medicine, 16(1), 6. https://doi.org/10.1038/nm0110-6a
May, Mike. "Forecast calls for clouds over biological computing." Nature medicine vol. 16,1 (2010): 6. doi: https://doi.org/10.1038/nm0110-6a
May M. Forecast calls for clouds over biological computing. Nat Med. 2010 Jan;16(1):6. doi: 10.1038/nm0110-6a. PMID: 20057394.
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Excel2SVM: a stand-alone Python tool for data analysis via support vector machines.

Omics : a journal of integrative biology

Hellman M, Jett M, Hammamieh R.
PMID: 18266562
OMICS. 2008 Mar;12(1):93-8. doi: 10.1089/omi.2007.0044.

The creation of classification kernel models to categorize unknown data samples of massive magnitude is an extremely advantageous tool for the scientific community. Excel2SVM, a stand-alone Python mathematical analysis tool, bridges the gap between researchers and computer science to...

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Hellman M, Jett M, Hammamieh R. Excel2SVM: a stand-alone Python tool for data analysis via support vector machines. OMICS. 2008;12(1):93-8doi: 10.1089/omi.2007.0044.
Hellman, M., Jett, M., & Hammamieh, R. (2008). Excel2SVM: a stand-alone Python tool for data analysis via support vector machines. Omics : a journal of integrative biology, 12(1), 93-8. https://doi.org/10.1089/omi.2007.0044
Hellman, Matthew, et al. "Excel2SVM: a stand-alone Python tool for data analysis via support vector machines." Omics : a journal of integrative biology vol. 12,1 (2008): 93-8. doi: https://doi.org/10.1089/omi.2007.0044
Hellman M, Jett M, Hammamieh R. Excel2SVM: a stand-alone Python tool for data analysis via support vector machines. OMICS. 2008 Mar;12(1):93-8. doi: 10.1089/omi.2007.0044. PMID: 18266562.
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Introduction. These two issues contain a selected subset of the papers presented at RECOMB 2014.

Journal of computational biology : a journal of computational molecular cell biology

Sharan R.
PMID: 25927159
J Comput Biol. 2015 May;22(5):335. doi: 10.1089/cmb.2015.030P.

No abstract available.

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Sharan R. Introduction. These two issues contain a selected subset of the papers presented at RECOMB 2014. J Comput Biol. 2015;22(5):335doi: 10.1089/cmb.2015.030P.
Sharan, R. (2015). Introduction. These two issues contain a selected subset of the papers presented at RECOMB 2014. Journal of computational biology : a journal of computational molecular cell biology, 22(5), 335. https://doi.org/10.1089/cmb.2015.030P
Sharan, Roded. "Introduction. These two issues contain a selected subset of the papers presented at RECOMB 2014." Journal of computational biology : a journal of computational molecular cell biology vol. 22,5 (2015): 335. doi: https://doi.org/10.1089/cmb.2015.030P
Sharan R. Introduction. These two issues contain a selected subset of the papers presented at RECOMB 2014. J Comput Biol. 2015 May;22(5):335. doi: 10.1089/cmb.2015.030P. PMID: 25927159.
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Evaluation of biomedical informatics innovations and their impact on public health.

Methods of information in medicine

Sarkar IN.
PMID: 22430875
Methods Inf Med. 2012;51(2):93-4.

This issue of Methods of Information in Medicine contains four feature articles that are focused on the theme of evaluation. Evaluation approaches are increasingly essential in the assessment of determining the potential impact of contemporary informatics innovations. The featured...

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Sarkar IN. Evaluation of biomedical informatics innovations and their impact on public health. Methods Inf Med. 2012;51(2):93-4
Sarkar, I. N. (2012). Evaluation of biomedical informatics innovations and their impact on public health. Methods of information in medicine, 51(2), 93-4.
Sarkar, I N. "Evaluation of biomedical informatics innovations and their impact on public health." Methods of information in medicine vol. 51,2 (2012): 93-4.
Sarkar IN. Evaluation of biomedical informatics innovations and their impact on public health. Methods Inf Med. 2012;51(2):93-4. PMID: 22430875.
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Integrated lab-on-chip and mass spectrometry: recent advances in bioanalysis.

Bioanalysis

Bhushan R, Dubey R.
PMID: 25158958
Bioanalysis. 2014;6(14):1875-7. doi: 10.4155/bio.14.152.

No abstract available.

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Bhushan R, Dubey R. Integrated lab-on-chip and mass spectrometry: recent advances in bioanalysis. Bioanalysis. 2014;6(14):1875-7doi: 10.4155/bio.14.152.
Bhushan, R., & Dubey, R. (2014). Integrated lab-on-chip and mass spectrometry: recent advances in bioanalysis. Bioanalysis, 6(14), 1875-7. https://doi.org/10.4155/bio.14.152
Bhushan, Ravi, and Dubey, Rituraj. "Integrated lab-on-chip and mass spectrometry: recent advances in bioanalysis." Bioanalysis vol. 6,14 (2014): 1875-7. doi: https://doi.org/10.4155/bio.14.152
Bhushan R, Dubey R. Integrated lab-on-chip and mass spectrometry: recent advances in bioanalysis. Bioanalysis. 2014;6(14):1875-7. doi: 10.4155/bio.14.152. PMID: 25158958.
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[The BIG Data Center's database resources].

Yi chuan = Hereditas

Zhang YS, Xia L, Sang J, Li M, Liu L, Li MW, Niu GY, Cao JB, Teng XF, Zhou Q, Zhang Z.
PMID: 30465537
Yi Chuan. 2018 Nov 20;40(11):1039-1043. doi: 10.16288/j.yczz.18-190.

Omics data in life and health sciences are of fundamental significance for scientific research and biomedical technology development. However, there is yet to be a platform for biological data management and sharing in China, making it difficult to meet...

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Zhang YS, Xia L, Sang J, et al. [The BIG Data Center's database resources]. Yi Chuan. 2018;40(11):1039-1043doi: 10.16288/j.yczz.18-190.
Zhang, Y. S., Xia, L., Sang, J., Li, M., Liu, L., Li, M. W., Niu, G. Y., Cao, J. B., Teng, X. F., Zhou, Q., & Zhang, Z. (2018). [The BIG Data Center's database resources]. Yi chuan = Hereditas, 40(11), 1039-1043. https://doi.org/10.16288/j.yczz.18-190
Zhang, Yuan Sheng, et al. "[The BIG Data Center's database resources]." Yi chuan = Hereditas vol. 40,11 (2018): 1039-1043. doi: https://doi.org/10.16288/j.yczz.18-190
Zhang YS, Xia L, Sang J, Li M, Liu L, Li MW, Niu GY, Cao JB, Teng XF, Zhou Q, Zhang Z. [The BIG Data Center's database resources]. Yi Chuan. 2018 Nov 20;40(11):1039-1043. doi: 10.16288/j.yczz.18-190. Chinese. PMID: 30465537.
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Computational Tools for Causal Inference in Genetics.

Cold Spring Harbor perspectives in medicine

Richardson TG, Zheng J, Gaunt TR.
PMID: 33288654
Cold Spring Harb Perspect Med. 2021 Jun 01;11(6). doi: 10.1101/cshperspect.a039248.

The advent of large-scale, phenotypically rich, and readily accessible data provides an unprecedented opportunity for epidemiologists, statistical geneticists, bioinformaticians, and also behavioral and social scientists to investigate the causes and consequences of disease. Computational tools and resources are an...

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Richardson TG, Zheng J, Gaunt TR. Computational Tools for Causal Inference in Genetics. Cold Spring Harb Perspect Med. 2021;11(6)doi: 10.1101/cshperspect.a039248.
Richardson, T. G., Zheng, J., & Gaunt, T. R. (2021). Computational Tools for Causal Inference in Genetics. Cold Spring Harbor perspectives in medicine, 11(6), . https://doi.org/10.1101/cshperspect.a039248
Richardson, Tom G, et al. "Computational Tools for Causal Inference in Genetics." Cold Spring Harbor perspectives in medicine vol. 11,6 (2021). doi: https://doi.org/10.1101/cshperspect.a039248
Richardson TG, Zheng J, Gaunt TR. Computational Tools for Causal Inference in Genetics. Cold Spring Harb Perspect Med. 2021 Jun 01;11(6). doi: 10.1101/cshperspect.a039248. PMID: 33288654; PMCID: PMC8168525.
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Showing 1 to 12 of 18 entries