BIOINFORMATICSFilling the gap in gene prediction 来自 Semantic Scholar 喜欢 0 阅读量: 43 作者:Casci,Tanita 摘要: Genome sequencing tells us the order of the As, Cs, Gs and Ts in a genome, but annotation programs make sense of it all by telling us where genes are and what they look ...
bioinformatics tools for gene function prediction ‐ in natural languages, difficulty for computers to processprotein structure comparison, detecting remote evolutionary relationships ‐ in absence of sequence similarityfunction prediction using integrated data ‐ interacting proteins, forming protein interaction ...
Once all the samples are processed, some simple post-processing is carried out. Naturally, all same-frame concurrent predictions are merged. Predictions that are totally overlapped by another prediction are deleted if they are less than 75% the length of the other. Similarly, any prediction in w...
Fig. 1: Enformer improves gene expression prediction in held-out genes by using a larger receptive field. Full size image Enformer substantially outperformed the previous best model, Basenji2, for predicting RNA expression as measured by Cap Analysis Gene Expression10(CAGE) at the TSS of human ...
Korf I. Gene finding in novel Genomes. BMC Bioinformatics 2004, 5:59 Contact I appreciate bug reports, comments, and suggestions. My current contact information is: email: ifkorf@ucdavis.edu web: http://korflab.ucdavis.edu License This software is covered by the MIT License. Files and ...
The quality of automated gene prediction in microbial organisms has improved steadily over the past decade, but there is still room for improvement. Increasing the number of correct identifications, both of genes and of the translation initiation sites f
Non-additive interactions between mutations occur extensively and also change across conditions, making genetic prediction a difficult challenge. To better understand the plasticity of genetic interactions (epistasis), we combine mutations in a single pr
The genemania prediction server: biological network integration for gene prioritization and predicting gene function. Nucleic Acids Res. 2010;38(suppl-2):214–20. Article Google Scholar Li T, Wernersson R, Hansen RB, Horn H, Mercer J, Slodkowicz G, Workman CT, Rigina O, Rapacki K, St...
Because ground truth cell type labels are not available, we instead chose to evaluate performance in the expressed gene prediction task (similar to Fig. 2D, F), where our goal is to predict which individual genes are detected in each cell. To do so, we first used the V1 and ALM SSv4...
A digital signature for breast cancer recurrence prediction Given thatSEQUOIAwas able to predict the transcriptional activity of genes involved in key cancer-related pathways, we next assessed whether these genes have prognostic value. We focused our analysis on breast cancer, in which the highest num...