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BMC bioinformatics

Showing results (331-340 of 12,429) with videos related to

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BMC Bioinformatics|April 6, 2017
AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics dataBastijn Koopmans, August B Smit, Matthijs Verhage, et al.
BMC Bioinformatics|March 15, 2019
GRIBCG: a software for selection of sgRNAs in the design of balancer chromosomesBrian B Merritt, Lily S Cheung
BMC Bioinformatics|March 17, 2019
Network meta-analysis correlates with analysis of merged independent transcriptome expression dataChristine Winter, Robin Kosch, Martin Ludlow, et al.
BMC Bioinformatics|September 11, 2019
nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation dataPaul Müller, Shada Abuhattum, Stephanie Möllmert, et al.
BMC Bioinformatics|September 13, 2019
A network embedding-based multiple information integration method for the MiRNA-disease association predictionYuchong Gong, Yanqing Niu, Wen Zhang, et al.
BMC Bioinformatics|September 16, 2019
Towards pixel-to-pixel deep nucleus detection in microscopy imagesFuyong Xing, Yuanpu Xie, Xiaoshuang Shi, et al.
BMC Bioinformatics|September 16, 2019
A purely bioinformatic pipeline for the prediction of mammalian odorant receptor gene enhancersAndrea Degl'Innocenti, Gabriella Meloni, Barbara Mazzolai, et al.
BMC Bioinformatics|September 20, 2019
A novel protein descriptor for the prediction of drug binding sitesMingjian Jiang, Zhen Li, Yujie Bian, et al.
BMC Bioinformatics|October 5, 2019
A machine learning-based service for estimating quality of genomes using PATRICBruce Parrello, Rory Butler, Philippe Chlenski, et al.
BMC Bioinformatics|July 19, 2019
MCtandem: an efficient tool for large-scale peptide identification on many integrated core (MIC) architectureChuang Li, Kenli Li, Keqin Li, et al.
Pageof 1,243

Showing results (331-340 of 12,429) with videos related to

Sort By:
Pageof 1,243
BMC Bioinformatics|April 6, 2017
AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics dataBastijn Koopmans, August B Smit, Matthijs Verhage, et al.
BMC Bioinformatics|March 15, 2019
GRIBCG: a software for selection of sgRNAs in the design of balancer chromosomesBrian B Merritt, Lily S Cheung
BMC Bioinformatics|March 17, 2019
Network meta-analysis correlates with analysis of merged independent transcriptome expression dataChristine Winter, Robin Kosch, Martin Ludlow, et al.
BMC Bioinformatics|September 11, 2019
nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation dataPaul Müller, Shada Abuhattum, Stephanie Möllmert, et al.
BMC Bioinformatics|September 13, 2019
A network embedding-based multiple information integration method for the MiRNA-disease association predictionYuchong Gong, Yanqing Niu, Wen Zhang, et al.
BMC Bioinformatics|September 16, 2019
Towards pixel-to-pixel deep nucleus detection in microscopy imagesFuyong Xing, Yuanpu Xie, Xiaoshuang Shi, et al.
BMC Bioinformatics|September 16, 2019
A purely bioinformatic pipeline for the prediction of mammalian odorant receptor gene enhancersAndrea Degl'Innocenti, Gabriella Meloni, Barbara Mazzolai, et al.
BMC Bioinformatics|September 20, 2019
A novel protein descriptor for the prediction of drug binding sitesMingjian Jiang, Zhen Li, Yujie Bian, et al.
BMC Bioinformatics|October 5, 2019
A machine learning-based service for estimating quality of genomes using PATRICBruce Parrello, Rory Butler, Philippe Chlenski, et al.
BMC Bioinformatics|July 19, 2019
MCtandem: an efficient tool for large-scale peptide identification on many integrated core (MIC) architectureChuang Li, Kenli Li, Keqin Li, et al.
Pageof 1,243