To make use of Big Data software tools and computer analytics are essential. However, academic software has a bad reputation: hard to read, even harder to understand and impossible to maintain. In addition, it often does not scale up, so when faced with data sets that are increasing rapidly in size and ..
Developing new software tools for analysis of large-scale biological data is a key component of adva...
In recent years, high-throughput technologies have brought big data to the life sciences. The march ...
Advances in many areas of genomics research are heavily rooted in engineering technology, from the c...
Computational biology has provided widely used and powerful software tools for testing and making in...
Leading scientists tell us that the problem of large data and data integration, referred to as 'big ...
The dependence of life scientists on software has steadily grown in recent years. For many tasks, re...
With advances in technology comes the ability of biologists to generate large amounts of data quickl...
In biomedicine, biodiversity and other fields of research, large databases are used. Assuming that a...
The rapid pace of data production in scientific research has required new methods for analytical pro...
<p>Information is key in producing knowledge. We undoubtedly live in time of massive information; pa...
Bioinformatics is a subject that requires the skills of biologists, computer scientists, mathematici...
In a 2016 survey of 704 National Science Foundation (NSF) Biological Sciences Directorate principal ...
International audienceIt is easy for today's students and researchers to believe that modern bioinfo...
Despite having an ideal setup in their labs for wet work, researchers often lack the computational i...
The pace at which scientific data is produced and disseminated has never been as high as it is curre...
Developing new software tools for analysis of large-scale biological data is a key component of adva...
In recent years, high-throughput technologies have brought big data to the life sciences. The march ...
Advances in many areas of genomics research are heavily rooted in engineering technology, from the c...
Computational biology has provided widely used and powerful software tools for testing and making in...
Leading scientists tell us that the problem of large data and data integration, referred to as 'big ...
The dependence of life scientists on software has steadily grown in recent years. For many tasks, re...
With advances in technology comes the ability of biologists to generate large amounts of data quickl...
In biomedicine, biodiversity and other fields of research, large databases are used. Assuming that a...
The rapid pace of data production in scientific research has required new methods for analytical pro...
<p>Information is key in producing knowledge. We undoubtedly live in time of massive information; pa...
Bioinformatics is a subject that requires the skills of biologists, computer scientists, mathematici...
In a 2016 survey of 704 National Science Foundation (NSF) Biological Sciences Directorate principal ...
International audienceIt is easy for today's students and researchers to believe that modern bioinfo...
Despite having an ideal setup in their labs for wet work, researchers often lack the computational i...
The pace at which scientific data is produced and disseminated has never been as high as it is curre...
Developing new software tools for analysis of large-scale biological data is a key component of adva...
In recent years, high-throughput technologies have brought big data to the life sciences. The march ...
Advances in many areas of genomics research are heavily rooted in engineering technology, from the c...
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