The leading peer-reviewed journal in computational biology and bioinformatics.
New Rochelle, New York
Joined August 2021
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Journal of Computational Biology retweeted
Many extended #RECOMB2024 papers will be published in @JournalCompBio, a long-standing partnership. Some will also appear in the partner journal @CellSystemsCP. Stay tuned for more!
Journal of Computational Biology retweeted
Very happy to have this work --- a *substantial* extension of our RECOMB 2024 paper --- accepted to @JournalCompBio!
Journal of Computational Biology retweeted
Excited to share "GS-TCGA: Gene Set-Based Analysis of The Cancer Genome Atlas" published this week @JournalCompBio. GS-TCGA comprises online tools to enable exploration of #TCGA data using gene set-based analyses.
liebertpub.com/doi/10.1089/c… @CamPathology @CRUKCamCentre
Journal of Computational Biology retweeted
Testing for Phylogenetic Signal in Single-Cell RNA-Seq Data
New findings open up a new direction of somatic phylogenetics based on scRNA-seq data: ow.ly/8Hrv50Mf94A
#Cancer #Phylogenetics #RNAseq @JournalCompBio
Journal of Computational Biology retweeted
Time for the announcement. #RECOMB2023 will be in İstanbul on April 16-19, 2023. Satellites on April 14-15, 2023. Save the date!
Journal of Computational Biology retweeted
Day 150 of #APaperADay. I read @JournalCompBio article on DNA alignment. This paper introduces a greedy alignment algorithm that computes the exact alignment 10 times faster on appropriate data. This algorithm is currently used in an MSA at the @NCBI.
liebertpub.com/doi/10.1089/1…
Journal of Computational Biology retweeted
Trade-offs of #LinearMixedModels in #GenomeWideAssociationStudies (GWAS)
Motivated by empirical arguments that are well known from the #GWAS literature, researchers study the statistical properties of linear mixed models applied to GWAS: ow.ly/R8B350IrpVq @JournalCompBio
Journal of Computational Biology retweeted
Cool new paper from Magda Julkowska describing a mathematical model for analyzing root structures, to gain insight into root efficiency and adaptability to stress conditions. 🌱🖥️💪 @mmjulkowska @JournalCompBio liebertpub.com/doi/10.1089/c…
Journal of Computational Biology retweeted
Deriving Ranges of Optimal Estimated Transcript Expression due to Nonidentifiability: ow.ly/qAxb50HR2E2 @JournalCompBio
Journal of Computational Biology retweeted
Researchers propose novel algorithm ISFMDA that can effectively learn interactions of selected features-based method for predicting potential microRNA-disease associations: ow.ly/wBOM50Hm8hA
#DeepNeuralNetwork #microRNA #microRNAdisease #ComputationalBiology @JournalCompBio
Journal of Computational Biology retweeted
it is difficult to overstate the impact this method had on the field and over such a long period of time.
