Results 61 to 70 of about 1,973,231 (200)

Perplexity: evaluating transcript abundance estimation in the absence of ground truth

Algorithms for Molecular Biology, 2022
Background There has been rapid development of probabilistic models and inference methods for transcript abundance estimation from RNA-seq data. These models aim to accurately estimate transcript-level abundances, to account for different biases in the ...
Jason Fan, Skylar Chan, Rob Patro
doaj   +1 more source

From Bioinformatics to Computational Biology [PDF]

Genome Research, 2000
It is quite ironic that the uncertainty about the number of human genes (28,000–120,000) (Ewing and Green 2000; Liang et al. 2000; Roest Crollius et al. 2000) appears to increase as the determination of the human genome sequence is nearing completion. I shall contend here that this paradox reveals deep epistemological problems, and that “bioinformatics”
openaire   +2 more sources

Bioinformatics’ Challenges to Computer Science: Bioinformatics Tools and Biomedical Modeling [PDF]

, 2009
The second edition of the workshop on Bioinformatics' Challenges to Computer Science aimed to discuss the gap between bioinformatics tools and biomedical simulation and modeling. This short paper summarizes the papers accepted for the workshop, focusing on bioinformatics applications at the genomics and molecular level as well as simulation and ...
Mario Cannataro, Rodrigo Weber dos Santos, Joakim Sundnes   +2 more
openaire   +3 more sources

SOuLMuSiC, a novel tool for predicting the impact of mutations on protein solubility

Scientific Reports
Protein solubility problems arise in a wide range of applications, from antibody development to enzyme production, and are linked to several major disorders, including cataracts and Alzheimer’s diseases.
Simone Attanasio, Jean Kwasigroch, Marianne Rooman, Fabrizio Pucci   +3 more
doaj   +1 more source

Using machine learning algorithms to identify genes essential for cell survival

BMC Bioinformatics, 2017
Background With the explosion of data comes a proportional opportunity to identify novel knowledge with the potential for application in targeted therapies. In spite of this huge amounts of data, the solutions to treating complex disease is elusive.
Santosh Philips, Heng-Yi Wu, Lang Li
doaj   +1 more source

Computational pan-genomics: status, promises and challenges [PDF]

, 2018
Many disciplines, from human genetics and oncology to plant breeding, microbiology and virology, commonly face the challenge of analyzing rapidly increasing numbers of genomes.
Dutilh, B.E., Computational Pan-Genomics Consortium   +1 more
core   +1 more source

Storing and analyzing a genome on a blockchain

Genome Biology, 2022
There are major efforts underway to make genome sequencing a routine part of clinical practice. A critical barrier to these is achieving practical solutions for data ownership and integrity.
Gamze Gürsoy, Charlotte M. Brannon, Eric Ni, Sarah Wagner, Amol Khanna, Mark Gerstein   +5 more
doaj   +1 more source

A Molecular Biology Database Digest [PDF]

, 2000
Computational Biology or Bioinformatics has been defined as the application of mathematical and Computer Science methods to solving problems in Molecular Biology that require large scale data, computation, and analysis [18].
Kröger, Peer, Peer Kröger, Bry, François, François Bry   +3 more
core   +1 more source

Automated Semisupervised Measurement of Optic Nerve Sheath Diameter From CT Following Traumatic Brain Injury

International Journal of Biomedical Imaging
Automated measurement of optic nerve sheath diameter (ONSD) from computed tomography (CT) scans is clinically important, but deep learning methods are often limited by the scarcity of high-quality, expert-labeled data given the labor-intensive nature of ...
Emily Wittrup, Alan Kay, Elizabeth Lombard, Jett Rosen, Ethan Schnathorst, Christine Geng, Haoyuan Ma, Erica B. Stein, Kevin R. Ward, Craig Williamson, Kayvan Najarian   +10 more
doaj   +1 more source

A quantitative account of genomic island acquisitions in prokaryotes [PDF]

, 2011
Background Microbial genomes do not merely evolve through the slow accumulation of mutations, but also, and often more dramatically, by taking up new DNA in a process called horizontal gene transfer.
van Passel, Mark W. J., van Passel Mark WJ, Passel, M.W.J., van, Mark WJ van Passel, Roos Tom E, Roos, T.E., van Passel, M.W.J., Roos, Tom E., Tom E Roos   +8 more
core   +3 more sources