Results 51 to 60 of about 1,477,984 (353)

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

Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center

Nucleic Acids Res., 2016
The Pathosystems Resource Integration Center (PATRIC) is the bacterial Bioinformatics Resource Center (https://www.patricbrc.org). Recent changes to PATRIC include a redesign of the web interface and some new services that provide users with a platform ...
A. Wattam, James J. Davis, Rida Assaf, Sébastien Boisvert, T. Brettin, Christopher Bun, Neal Conrad, Emily M. Dietrich, T. Disz, Joseph L. Gabbard, S. Gerdes, C. Henry, Ron Kenyon, D. Machi, Chunhong Mao, E. Nordberg, G. Olsen, Daniel Murphy-Olson, R. Olson, R. Overbeek, B. Parrello, G. Pusch, Maulik Shukla, Veronika Vonstein, A. Warren, Fangfang Xia, H. Yoo, Rick L. Stevens   +27 more
semanticscholar   +1 more source

Bioinformatics Databases: State of the Art and Research Perspectives [PDF]

, 2003
Bioinformatics or computational biology, i.e. the application of mathematical and computer science methods to solving problems in molecular biology that require large scale data, computation, and analysis, is a research area currently receiving a ...
Bry, François, Kröger, Peer
core   +2 more sources

Leveraging network analytics to infer patient syndrome and identify causal genes in rare disease cases

BMC Genomics, 2017
Background Next-generation sequencing is widely used to identify disease-causing variants in patients with rare genetic disorders. Identifying those variants from whole-genome or exome data can be both scientifically challenging and time consuming.
Andreas Krämer, Sohela Shah, Robert Anthony Rebres, Susan Tang, Daniel Rene Richards   +4 more
doaj   +1 more source

Algebraic Comparison of Partial Lists in Bioinformatics [PDF]

, 2010
The outcome of a functional genomics pipeline is usually a partial list of genomic features, ranked by their relevance in modelling biological phenotype in terms of a classification or regression model.
A Gobbi, A Kalousis, A Kossenkov, A Sboner, AC Haury, AL Boulesteix, Arkady B. Khodursky, B Di Camillo, B Efron, B Efron, B Efron, B Schowe, C Cortes, C Cortes, C Furlanello, C Schneider, C Schneider, C Soneson, C Yao, Cesare Furlanello, Consortium The MicroArray Quality Control (MAQC), D Albanese, D Cai, D Corrada, D Critchlow, D Saari, D Witten, G Guzzetta, G Jurman, G Jurman, G Lance, G Lance, G Smyth, Giuseppe Jurman, GS Cheon, I Guyon, I Jeffery, I Lönnstedt, J Bar-Ilan, J Borda, J Chen, J Ioannidis, J Neter, J Storey, L Ein-Dor, L Kuncheva, L Yu, L Zhang, M Desarkar, M Kauers, M Kauers, M Kendall, M Schimek, M Schimek, M Slawski, M Villarino, M Villarino, O Bousquet, P Baldi, P Diaconis, P Diaconis, P Hall, P Hall, P Krízek, PC Boutros, R Fagin, R Gentleman, R Graham, R Pearson, R Pique-Regi, R Pique-Regi, R Simon, Roberto Visintainer, S Abramov, S Dudoit, S Lin, S Lin, S Mukherjee, S Setlur, S Simićc, S Vanderlooy, Samantha Riccadonna, SK Lau, T Bø, T Calders, V Tusher, Visintainer, W Fury, W Hoeffding, W Shi, X Wang, X Yang, Y Xiao, Y Xiao, Z He   +94 more
core   +4 more sources

The Bio3D packages for structural bioinformatics

Protein Science, 2020
Bio3D is a family of R packages for the analysis of biomolecular sequence, structure, and dynamics. Major functionality includes biomolecular database searching and retrieval, sequence and structure conservation analysis, ensemble normal mode analysis ...
B. Grant, Lars Skjaerven, Xin-Qiu Yao
semanticscholar   +1 more source

Crowdsourcing for bioinformatics [PDF]

Bioinformatics, 2013
Abstract Motivation: Bioinformatics is faced with a variety of problems that require human involvement. Tasks like genome annotation, image analysis, knowledge-base population and protein structure determination all benefit from human input.
Good, Benjamin M., Su, Andrew I.
openaire   +3 more sources

Educating the educators: Incorporating bioinformatics into biological science education in Malaysia [PDF]

, 2012
Bioinformatics can be defined as a fusion of computational and biological sciences. The urgency to process and analyse the deluge of data created by proteomics and genomics studies has caused bioinformatics to gain prominence and importance. However, its
Hussein, Huszalina, Mohd. Hashim, Siti Zaiton, Salim, Naomie, Shamsir, Mohd. Shahir   +3 more
core  

New classifications for quantum bioinformatics: Q-bioinformatics, QCt-bioinformatics, QCg-bioinformatics, and QCr-bioinformatics

Briefings in Bioinformatics
Abstract Bioinformatics has revolutionized biology and medicine by using computational methods to analyze and interpret biological data. Quantum mechanics has recently emerged as a promising tool for the analysis of biological systems, leading to the development of quantum bioinformatics.
Majid Mokhtari, Samane Khoshbakht, Kobra Ziyaei, Mohammad Esmaeil Akbari, Sayyed Sajjad Moravveji   +4 more
openaire   +2 more sources

The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity

FEBS Letters, EarlyView.
The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley   +1 more source