Results 21 to 30 of about 1,289,019 (331)

Facilitating bioinformatics reproducibility with QIIME 2 Provenance Replay.

PLoS Computational Biology, 2023
Study reproducibility is essential to corroborate, build on, and learn from the results of scientific research but is notoriously challenging in bioinformatics, which often involves large data sets and complex analytic workflows involving many different ...
Christopher R Keefe, Matthew R Dillon, Elizabeth Gehret, Chloe Herman, Mary Jewell, Colin V Wood, Evan Bolyen, J Gregory Caporaso   +7 more
doaj   +1 more source

Revisiting barriers to implementation of bioinformatics into life sciences education

Frontiers in Education, 2023
IntroductionBioinformatics is an interdisciplinary field at the intersection of computational and biological sciences that focuses on the analysis and interpretation of large biological data sets.
Jennifer Drew, William Morgan, Sebastian Galindo, Adam J. Kleinschmit, Mindy McWilliams, Mark Pauley, Eric W. Triplett, Jason Williams, Barbara Murdoch, Anne Rosenwald   +9 more
doaj   +1 more source

MACiE: a database of enzyme reaction mechanisms. [PDF]

, 2005
SUMMARY: MACiE (mechanism, annotation and classification in enzymes) is a publicly available web-based database, held in CMLReact (an XML application), that aims to help our understanding of the evolution of enzyme catalytic mechanisms and also to create
Bartlett, Berman, D. E. Almonacid, G. J. Bartlett, G. L. Holliday, J. B. O. Mitchell, J. M. Thornton, Kanehisa, N. M. O'Boyle, Nagano, Orengo, P. Murray-Rust, Porter, Schomburg   +13 more
core   +1 more source

A Baseline Evaluation of Bioinformatics Capacity in Tanzania Reveals Areas for Training

Frontiers in Education, 2021
Due to the insufficient human and infrastructure capacity to use novel genomics and bioinformatics technologies, Sub-Saharan Africa countries have not entirely ripped the benefits of these technologies in health and other sectors.
Raphael Zozimus Sangeda, Raphael Zozimus Sangeda, Aneth David Mwakilili, Aneth David Mwakilili, Upendo Masamu, Siana Nkya, Siana Nkya, Liberata Alexander Mwita, Liberata Alexander Mwita, Deogracious Protas Massawe, Sylvester Leonard Lyantagaye, Julie Makani   +11 more
doaj   +1 more source

Bioinformatics advances in saliva diagnostics [PDF]

, 2012
There is a need recognized by the National Institute of Dental & Craniofacial Research and the National Cancer Institute to advance basic, translational and clinical saliva research. The goal of the Salivaomics Knowledge Base (SKB) is to create
B Smith, Barry Smith, C Phillips, CM Huang, DA Natale, David TW Wong, DP Ng, E Birney, I Garcia, I Takeda, J Ai, Ji-Ye Ai, JM Guberman, K Degtyarenko, M Ashburner, P Grenon, RR Brinkman, S Hu   +17 more
core   +2 more sources

Bioinformatics education in an MLIS program: the McGill experience

Journal of the Canadian Health Libraries Association, 2005
Program objective – The objective of this course (GLIS691 – Bioinformatics) was to provide formal bioinformatics education within a master of library and information studies (MLIS) program.
Joan C Bartlett
doaj   +1 more source

Overview of Random Forest Methodology and Practical Guidance with Emphasis on Computational Biology and Bioinformatics [PDF]

, 2012
The Random Forest (RF) algorithm by Leo Breiman has become a standard data analysis tool in bioinformatics. It has shown excellent performance in settings where the number of variables is much larger than the number of observations, can cope with ...
Boulesteix, Anne-Laure, Janitza, Silke, Kruppa, Jochen, König, Inke R.   +3 more
core   +1 more source

Data mining in bioinformatics using Weka [PDF]

, 2004
The Weka machine learning workbench provides a general purpose environment for automatic classification, regression, clustering and feature selection-common data mining problems in bioinformatics research.
Frank, Eibe, Hall, Mark A., Holmes, Geoffrey, Trigg, Leonard E., Witten, Ian H.   +4 more
core   +3 more sources

Prospects and limitations of full-text index structures in genome analysis [PDF]

, 2012
The combination of incessant advances in sequencing technology producing large amounts of data and innovative bioinformatics approaches, designed to cope with this data flood, has led to new interesting results in the life sciences.
Dawyndt, Peter, De Baets, Bernard, Fack, Veerle, Vyverman, Michaël   +3 more
core   +2 more sources

Bioinformatics in Jordan: Status, challenges, and future directions.

PLoS Computational Biology, 2019
Bioinformatics plays a key role in supporting the life sciences. In this work, we examine bioinformatics in Jordan, beginning with the current status of bioinformatics education and research, then exploring the challenges of advancing bioinformatics, and
Qanita Bani Baker, Maryam S Nuser
doaj   +1 more source