13 papers · ranked by Valyu relevance
Peter Sestoft
Research relies on ever larger amounts of data from experiments, automated production equipment, questionnaries, times series such as weather records, and so on. A major task in science is to combine, process and analyse such data to obtain evidence of patterns and correlations. Most research data are on digital form…
Rebekah Duke, Vinayak Bhat, Chad Risko
As buzzwords like “big data,” “machine learning,” and “high-throughput” expand through chemistry, chemists need to consider more than ever their data storage, data management, and data accessibility, whether in their own laboratories or with the broader community. While it is commonplace for chemists to use…
Mateusz Jundzill, Riccardo Spott, Mara Lohde, Martin Hölzer + 2 more
'Adrian Viehweger' 'Christian Brandt'] Title: Abstract With the rapidly growing amount of biological data, powerful but also flexible data management and visualization systems are of increasingly crucial importance. The COVID-19 pandemic has more than highlighted this need and the challenges scientists are facing.…
Thomas J Lee, Yannick Pouliot, Valerie Wagner, Priyanka Gupta + 3 more
'David WJ Stringer-Calvert' 'Jessica D Tenenbaum' 'Peter D Karp'] Background This article addresses the problem of interoperation of heterogeneous bioinformatics databases. Results We introduce BioWarehouse, an open source toolkit for constructing bioinformatics database warehouses using the MySQL and Oracle relational…
Paul L. Soto
Data collection and analysis are central to scientific research, including in applied and basic behavior analysis. A substantial amount of attention has been given to how to rigorously collect and analyze data. Less attention has been paid to storing and maintaining research data, which becomes a critical step in the…
Shahid Ullah, Wajeeha Rahman, Farhan Ullah, Gulzar Ahmad + 2 more
'Muhmmad Ijaz' 'Tianshun Gao'] Background: The achievement of the human genome project provides a basis for the systematic study of the human genome from evolutionary history to disease-specific medicine. With the explosive growth of biological data, a growing number of biological databases are being established to…
A. C. Gorakshakar, K. Ghosh
Bioinformatics is a relatively new discipline. It is a field of science in which Computer science, Mathematics, Molecular biology and Information technology merges to form a single discipline. Database development, sequence alignment, protein structure prediction, RNA folding, evolutionary tree construction are some of…
Xiao-Qin Xia, Michael McClelland, Yipeng Wang
Background With advances in high-throughput genomics and proteomics, it is challenging for biologists to deal with large data files and to map their data to annotations in public databases. Results We developed TabSQL, a MySQL-based application tool, for viewing, filtering and querying data files with large numbers of…
Vadim Y. Bichutskiy, Richard Colman, Rainer K. Brachmann, Richard H. Lathrop
'Richard H. Lathrop'] Complex problems in life science research give rise to multidisciplinary collaboration, and hence, to the need for heterogeneous database integration. The tumor suppressor p53 is mutated in close to 50% of human cancers, and a small drug-like molecule with the ability to restore native function to…
Jacob Anhøj, Prakash Nadkarni
Background The complexity and the rapid evolution and expansion of the domain of clinical information make development and maintenance of clinical databases difficult. Whenever new data types are introduced or existing types are modified in a conventional relational database system, the physical design of the database…
Nicolas Morales, Alex C Ogbonna, Bryan J Ellerbrock, Guillaume J Bauchet + 54 more
Modern breeding methods integrate next-generation sequencing and phenomics to identify plants with the best characteristics and greatest genetic merit for use as parents in subsequent breeding cycles to ultimately create improved cultivars able to sustain high adoption rates by farmers. This data-driven approach hinges…
Sohrab P Shah, Yong Huang, Tao Xu, Macaire MS Yuen + 2 more
Background We present a biological data warehouse called Atlas that locally stores and integrates biological sequences, molecular interactions, homology information, functional annotations of genes, and biological ontologies. The goal of the system is to provide data, as well as a software infrastructure for…
Shrikant Pawar, Harshul Batra
Aim: Animal experiments tend to generate large-scale data. Some existing tools like Microsoft Excel and colony management cloud-based tools are either cumbersome or expensive. There is a need for an inexpensive and uncomplicated colony management software with specific individual database solutions. Methods: We have…