Bioinformatics Advances (@bioinfoadv) 's Twitter Profile
Bioinformatics Advances

@bioinfoadv

A fully open access, peer-reviewed journal published jointly by Oxford University Press and the International Society for Computational Biology.

ID: 1377623691278876682

linkhttps://academic.oup.com/bioinformaticsadvances calendar_today01-04-2021 14:07:49

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🔧 Enhance your genomic research with EagleImp! This free #software combines genotype phasing and imputation in one tool, now with #FPGA acceleration for up to 93% faster processing! Get it here: github.com/ikmb/eagleimp 🧬💻 #OpenSource #Bioinformatics

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📢 Check out "gwid: An R Package and Shiny Application for Genome-Wide Analysis of IBD Data." This #Rpackage offers powerful tools to analyze & visualize IBD data for dichotomous traits 📊 Dive into the details: doi.org/10.1093/bioadv… #Bioinformatics #Genomics

📢 Check out "gwid: An R Package and Shiny Application for Genome-Wide Analysis of IBD Data." This #Rpackage offers powerful tools to analyze & visualize IBD data for dichotomous traits 📊 

Dive into the details: doi.org/10.1093/bioadv… 

#Bioinformatics #Genomics
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🛠️ Discover the gwid R package, available on CRAN for all major OS! The development version is on GitHub: github.com/soroushmdg/gwid. Enjoy an interactive experience with the R Shiny dashboard! #DataScience #OpenSource #Rstats

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✨Exciting advancements in #cancerresearch! "C2CDB: An advanced platform integrating comprehensive information and analysis tools of cancer-related circRNAs" to dive into the world of #circRNAs and their role in tumorigenesis. doi.org/10.1093/bioadv…

✨Exciting advancements in #cancerresearch! "C2CDB: An advanced platform integrating comprehensive information and analysis tools of cancer-related circRNAs" to dive into the world of #circRNAs and their role in tumorigenesis. doi.org/10.1093/bioadv…
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🧰 The CircRNA to Cancer Database (C2CDB) is now live and freely available! Access over 318,000 cancer-related circRNAs with integrated analysis tools at pengyonglab.com/c2cdb. #DataScience #CancerResearch #Bioinformatics

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🔬 "In the twilight zone of protein sequence homology: Do protein language models learn protein structure?" explores how transformer-based PLMs tackle remote homology prediction. doi.org/10.1093/bioadv… #Bioinformatics #ProteinStructure #AI Yana Bromberg

🔬 "In the twilight zone of protein sequence homology: Do protein language models learn protein structure?" explores how transformer-based PLMs tackle remote homology prediction. doi.org/10.1093/bioadv… #Bioinformatics #ProteinStructure #AI <a href="/y_bromberg/">Yana Bromberg</a>
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🛠️ Curious about the tools used in the “Twilight zone of protein sequence homology” paper? All evaluation code, benchmark datasets, & models are freely available!: github.com/amoldwin/plm-z… #OpenScience #MachineLearning

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🔎"Improving protein function prediction by learning and integrating representations of protein sequences and function labels" introduces TransFew, a powerful transformer model for enhanced #proteinfunction prediction. doi.org/10.1093/bioadv… #Bioinformatics #AI Jianlin Cheng

🔎"Improving protein function prediction by learning and integrating representations of protein sequences and function labels" introduces TransFew, a powerful transformer model for enhanced #proteinfunction prediction. doi.org/10.1093/bioadv… #Bioinformatics #AI <a href="/jianlincheng/">Jianlin Cheng</a>
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🔨🧰 All the tools and data used in the TransFew model are open and accessible! Explore the code, datasets, and more at: github.com/BioinfoMachine…. A valuable resource for researchers worldwide! #OpenScience #MachineLearning #Bioinformatics

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🧬 "Splicekit: An integrative toolkit for splicing analysis from short-read RNA-seq" is revolutionizing alternative splicing analysis by simplifying complex processes of #RNAseq data analysis, offering powerful tools for #splicing studies. doi.org/10.1093/bioadv…

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🌐 🛠️ Ready to dive into splicing analysis? The splicekit #software is #opensource and available on GitHub and PyPI! Access the toolkit here: github.com/bedapub/splice… #OpenScience #RNASeq

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🧬 "IVEA: An integrative variational Bayesian inference method for predicting enhancer–gene regulatory interactions" presents a novel approach to predict enhancer-gene interactions with high accuracy. Read more: doi.org/10.1093/bioadv… #Genomics #GeneRegulation

🧬 "IVEA: An integrative variational Bayesian inference method for predicting enhancer–gene regulatory interactions" presents a novel approach to predict enhancer-gene interactions with high accuracy. Read more: doi.org/10.1093/bioadv… #Genomics #GeneRegulation
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💻The IVEA software is now available! Access the code on GitHub and start exploring enhancer-gene interactions with cutting-edge Bayesian inference. Get started here: github.com/yasumasak/ivea #OpenSource #DataScience #Bioinformatics

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🌐 Access the CoNECo corpus and all related resources, including annotated data and code, on Zenodo and GitHub! A must-have for researchers working on #proteincomplex recognition. Find more here: zenodo.org/records/112631… #OpenScience #Bioinformatics #NER

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🧬"Utilising biological experimental data and molecular dynamics for the classification of mutational hotspots through machine learning" shares a powerful approach to analyzing DNA repair processes w/ #machinelearning. Read it here: doi.org/10.1093/bioadv… Dr. Georgina Menzies

🧬"Utilising biological experimental data and molecular dynamics for the classification of mutational hotspots through machine learning" shares a powerful approach to analyzing DNA repair processes w/ #machinelearning. Read it here: doi.org/10.1093/bioadv…  <a href="/dr_menzies/">Dr. Georgina Menzies</a>
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💻 The code for comparing #machinelearning classifiers and analyzing #DNAstructure is now available! Use these tools to dive deeper into mutational hotspots. Check it out here: github.com/jdavies24/ML-C… #OpenSource #Bioinformatics #ResearchTools #DNA

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🔬The paper "Meta-Analysis of RNA interaction profiles of RNA binding protein using the RBPInper tool" explores the complexities of RBP interactomes using advanced statistical data fusion. Explore the details: doi.org/10.1093/bioadv… #RNA #Bioinformatics #RBP

🔬The paper "Meta-Analysis of RNA interaction profiles of RNA binding protein using the RBPInper tool" explores the complexities of RBP interactomes using advanced statistical data fusion. Explore the details: doi.org/10.1093/bioadv… #RNA #Bioinformatics #RBP
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🛠️ Exciting news for researchers! The RBPInper tool is now available on GitHub. Easily integrate multiple datasets to map global RBP interactomes. Explore the tool here: github.com/AneneLab/RBPIn… #OpenSource #Bioinformatics #ResearchTools

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🔍 "An extension of latent unknown clustering integrating multi-omics data (LUCID) incorporating incomplete omics data" offers a solution to the challenge of missing data in #multiomics analysis. doi.org/10.1093/bioadv… #Bioinformatics Yinqi Zhao Jesse Goodrich Burcu Darst

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📊The LUCIDus #Rpackage, featuring the latest methods to handle incomplete multi-omics data, is now available! Its cutting-edge imputation techniques can help enhance your data analysis. Explore the tool here: github.com/USCbiostats/LU… #OpenSource #Bioinformatics