Inference on Missing Values in Genetic Networks Using High-Throughput Data

2008 ◽  
pp. 106-116 ◽  
Author(s):  
Zdena Koukolíková-Nicola ◽  
Pietro Liò ◽  
Franco Bagnoli
Keyword(s):  
High Throughput ◽  
Missing Values ◽  
Genetic Networks ◽  
High Throughput Data

High Throughput Data Mapping for Coarse-Grained Reconfigurable Architectures

2011 ◽  
Vol 30 (11) ◽  
pp. 1599-1609 ◽  
Author(s):  
Yongjoo Kim ◽  
Jongeun Lee ◽  
A. Shrivastava ◽  
J. W. Yoon ◽  
Doosan Cho ◽  
...  
Keyword(s):  
High Throughput ◽  
Coarse Grained ◽  
Reconfigurable Architectures ◽  
Data Mapping ◽  
High Throughput Data

Protein function prediction with high-throughput data

Amino Acids ◽  
2008 ◽  
Vol 35 (3) ◽  
pp. 517-530 ◽  
Author(s):  
Xing-Ming Zhao ◽  
Luonan Chen ◽  
Kazuyuki Aihara
Keyword(s):  
High Throughput ◽  
Protein Function ◽  
Protein Function Prediction ◽  
Function Prediction ◽  
High Throughput Data

Excavating the pathogenic gene of breast cancer based on high throughput data of tumor and somatic reprogramming

Cell Cycle ◽  
2021 ◽  
pp. 1-15
Author(s):  
Lian Duan ◽  
Zhendong Wang ◽  
Xin Zheng ◽  
Junjian Li ◽  
Huamin Yin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Throughput ◽  
High Throughput Data ◽  
Pathogenic Gene

Phoebus: A system for high throughput data movement

2011 ◽  
Vol 71 (2) ◽  
pp. 266-279 ◽  
Author(s):  
Ezra Kissel ◽  
Martin Swany ◽  
Aaron Brown
Keyword(s):  
High Throughput ◽  
Data Movement ◽  
High Throughput Data

scholarly journals Integrating Molecular Biology and Bioinformatics Education

2018 ◽  
Author(s):  
Boas Pucker ◽  
Hanna Marie Schilbert ◽  
Sina Franziska Schumacher
Keyword(s):  
Molecular Biology ◽  
Cooperative Learning ◽  
Peer Review ◽  
High Throughput ◽  
Teaching Method ◽  
Integrated Education ◽  
High Throughput Data ◽  
Wet Lab ◽  
Bioinformatics Education ◽  
Increasing Demand

Combined awareness about the power and limitations of bioinformatics and molecular biology enables advanced research based on high-throughput data. Despite an increasing demand for scientists with a combined background in both fields, the education in dry lab and wet lab is often separated. This work describes an example of integrated education with focus on genomics and transcriptomics. Participants learn computational and molecular biology methods in the same practical course. Peer-review is applied as a teaching method to foster cooperative learning of students with heterogeneous backgrounds. Evaluation results indicate acceptance and appreciation of this approach.

scholarly journals Integrating Molecular Biology and Bioinformatics Education

2018 ◽  
Author(s):  
Boas Pucker ◽  
Hanna Marie Schilbert ◽  
Sina Franziska Schumacher
Keyword(s):  
Molecular Biology ◽  
Cooperative Learning ◽  
Peer Review ◽  
High Throughput ◽  
Teaching Method ◽  
Integrated Education ◽  
High Throughput Data ◽  
Wet Lab ◽  
Bioinformatics Education ◽  
Increasing Demand

Combined awareness about the power and limitations of bioinformatics and molecular biology enables advanced research based on high-throughput data. Despite an increasing demand for scientists with a combined background in both fields, the education in dry lab and wet lab is often separated. This work describes an example of integrated education with focus on genomics and transcriptomics. Participants learn computational and molecular biology methods in the same practical course. Peer-review is applied as a teaching method to foster cooperative learning of students with heterogeneous backgrounds. Evaluation results indicate acceptance and appreciation of this approach.

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