Results 41 to 50 of about 640,321 (318)

Bioinformatics [PDF]

, 2019
Our bioinformatic staff consist of PhD-level scientists trained in computer languages, statistics, bioinformatics, genetics, and genomics. The software infrastructure for analysis is a combination of custom-built and open-source software.
Grace Melly (5914202)
core   +1 more source

XML schemas for common bioinformatic data types and their application in workflow systems [PDF]

, 2006
Seibel PN, Krüger J, Hartmeier S, et al. XML schemas for common bioinformatic data types and their application in workflow systems. BMC Bioinformatics.
Krüger, Jan, Seibel Philipp N, Sven Hartmeier, Krüger Jan, Giegerich, R., Philipp N Seibel, Hartmeier Sven, Schwarzer Knut, Henning Mersch, Schwarzer, Knut, Seibel, Philipp N., Knut Schwarzer, Löwenthal Kai, Krüger, J., Dandekar, Th., Robert Giegerich, Giegerich, Robert, Jan Krüger, Dandekar, Thomas, Löwenthal, Kai, Mersch Henning, Hartmeier, S., Thomas Dandekar, Seibel, P. N., Krueger, Jan, Mersch, Henning, Löwenthal, K., Kai Löwenthal, Giegerich Robert, Schwarzer, K., Dandekar Thomas, Hartmeier, Sven, Mersch, H.   +32 more
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University-level practical activities in bioinformatics benefit voluntary groups of pupils in the last 2 years of school [PDF]

, 2015
This work was supported in part by the Science and Technology Facilities Council under grant ST/M000435/1 to Daniel Barker.Background Bioinformatics—the use of computers in biology—is of major and increasing importance to biological sciences and medicine.
Rosanna G. Alderson, Gavin T. P. Muirhead, Comrie, Muriel H, Heleen Plaisier, Sweeney, Stuart D, Muirhead, Gavin T.P., James L. McDonagh, McDonagh, James L., Stuart D. Sweeney, Sweeney, Stuart D., Alderson, Rosanna G, Muriel M. Comrie, Leigh Duncan, Plaisier, Heleen, Duncan, Leigh, Barker, Daniel, Muirhead, Gavin TP, McDonagh, James L, Daniel Barker, Comrie, Muriel Margaret, Mcdonagh, James, Alderson, Rosanna Grace   +21 more
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Predicting protein function by machine learning on amino acid sequences – a critical evaluation [PDF]

, 2007
Copyright @ 2007 Al-Shahib et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use ...
Gilbert, DR, Al-Shahib, A, Breitling, Rainer, Gilbert, D, Breitling, R., Ali Al-Shahib, Breitling, Rainer,, Al-Shahib, Ali, Rainer Breitling, Gilbert, David R., Breitling, R, Breitling Rainer, Shahib, Ali Al-,, Gilbert, D.R., Al-Shahib Ali, Gilbert, David R.,, David R Gilbert, Gilbert David R, Al-Shahib, A.   +18 more
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Towards an environment for data mining based analysis processes in bioinformatics and personalized medicine [PDF]

, 2022
S.29-44Medicine is undergoing a revolution that is even transforming the nature of health care from reactive to proactive. To serve these new and diverse needs, bioinformatics and data mining are teaming up to generate tools and procedures for prediction
Wegener, Dennis, Delorenzi, M., Buffa, F.-M., Rüping, Stefan, Rossi, S.   +4 more
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The Generation Challenge Programme Platform: Semantic standards and workbench for crop science [PDF]

, 2008
The Generation Challenge programme (GCP) is a global crop research consortium directed toward crop improvement through the application of comparative biology and genetic resources characterization to plant breeding.
Peralta, Barry, Lee, Jennifer, Anacleto, Mylah, Yap, Jan Michael, van Hintum, T.J.L., Balaji, Jayashree, Manansala, Kevin, Marshall, David, Akintunde, Akinnola, Schiltz, Gary, Ruiz, M., Metz, Thomas, Valerio, Rowena, Kikuchi, Shoshi, Jaiswal, Pankaj, Ulat, Victor Jun, Hintum, T.J.L., van, Mendoza, Michael Jonathan, Wagner, James, Collins, Anthony, Martins, Natalia, Braak, Kyle, Ruiz, Manuel, Good, Benjamin, Bruskiewich, Richard, Jun Ulat, Victor, Morales, Jeffrey, Costa, Marcos, Skofic, Milko, Detras, Jeffrey, Shah, Trushar, Zhang, Yi, McLaren, Graham, Satoh, Kouji, Hazekamp, Tom, Bruskiewich, R., Simon, Reinhard, Alamban, Ryan, Farmer, Andrew, Gregorio, Sergio, Meintjes, Ayton, Davenport, G., Takeya, Masaru, Casstevens, Terry, Ritter, Sebastian, Barboza, Lord Hendrix, Rouard, M., Wanchana, Samart, Almodiel, Roque, Morris, Jane, Thongjuea, Supat, Pappas, Georgios, Senger, M., Wilkinson, Mark, Dereeper, Alexis, Rouard, Mathieu, Doi, Koji, Portugal, Arllet, Senger, Martin, Davenport, Guy, Mauleon, Ramil, Van Hintum, Theo, Mauleon, Ramil P., Rojas, Edwin, Hermocilla, Joseph, Echavez, Michael   +65 more
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Exploring the impact of primer length on efficient gene detection via high-throughput sequencing

Nature Communications
Reverse transcription (RT) is a crucial step in most RNA analysis methods. Optimizing protocols for this initial stage is critical for effective target detection, particularly when working with limited input RNA.
Julia Micheel, Aram Safrastyan, Franziska Aron, Damian Wollny   +3 more
doaj   +1 more source

GBCdb: RNA expression landscapes and ncRNA–mRNA interactions in gallbladder carcinoma

BMC Bioinformatics, 2023
Gallbladder carcinoma (GBC), an aggressive malignant tumor of the biliary system, is characterized by high cellular heterogeneity and poor prognosis. Fewer data have been reported in GBC than other common cancer types. Multi-omics data will contribute to
Li Guo, Yangyang Xiang, Yuyang Dou, Zibo Yin, Xinru Xu, Lihua Tang, Jiafeng Yu, Jun Wang, Tingming Liang   +8 more
doaj   +1 more source

A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho, Karim M. Soliman, Wisit Cheungpasitporn, Wannasit Wathanavasin, Ahmed Daoud, Ahmed I. Kamal, Balázs Szamosfalvi, Tibor Fülöp   +7 more
wiley   +1 more source

A comparative bioinformatic analysis of C9orf72

PeerJ, 2018
C9orf72 is associated with frontotemporal dementia (FTD) and Amyotrophic Lateral Sclerosis (ALS), both of which are devastating neurodegenerative diseases. Findings suggest that an expanded hexanucleotide repeat in the non-coding region of the C9orf72 gene is the most common cause of familial FTD and ALS. Despite considerable efforts being made towards
Iyer, Shalini, Acharya, K. Ravi, Subramanian, Vasanta   +2 more
openaire   +3 more sources