RT @NCIJBSloan: One of my favorite resources is @NCI_CSSI’s #NCIITCR catalog page. And finding #bioinformatics tools for #CancerResearch, together with their code repositories, documentation, and introductory videos, just got easier with this updated interface: https://itcr.cancer.gov/informatics-tools

RT @NCI_CSSI: Need #bioinformatics tools, algorithms, and software to collect, process, analyze, and visualize #CancerResearch data? Check out the revamped #NCIITCR tool catalog to access tools, code repositories, and introductory videos, all free for academic use: https://itcr.cancer.gov/informatics-tools?title=&field_info_tools_new_tool_desc_value=&sort_by=field_info_tools_date_value&items_per_page=20

A number of #proteomics scripts/programs available....

RT @: NCI supports basic, translational, and clinical informatics projects through the ITCR program. #Bioinformatics is of increasing importance in both clinical practice and #CancerResearch. Scroll through the open access, user-friendly #NCIITCR tools: https://itcr.cancer.gov/informatics-tools…

RT @GSEA_MSigDB
MSigDB 2023.1 has been released for the human (2023.1.Hs) and mouse (http://2023.1.Mm) collections with updated sets from @news4go, @reactome, @WikiPathways, @hp_ontology and more. Get it now! https://msigdb.org #nciitcr #Bioinformatics

RT @igvteam@twitter.com

Published in Bioinformatics "igv.js: an embeddable JavaScript implementation of the Integrative Genomics Viewer (IGV)". https://doi.org/10.1093/bioinformatics/btac830 #nciitcr #Bioinformatics

🐦🔗: https://twitter.com/igvteam/status/1612703404903772160

RT @SpyridonBakas@twitter.com

6000 accesses in <7 days!
#Federated #MachineLearning enabling the largest #Glioblastoma study to date, without sharing patient data

@NatureComms@twitter.com: https://www.nature.com/articles/s41467-022-33407-5

#OpenSource #NCIITCR @NCIDataSci@twitter.com @FeTS_AI@twitter.com #OpenFL
#Healthcare #AI
#OpenScience @MeRAQi_lab@twitter.com @IntelAI@twitter.com @Penn@twitter.com https://twitter.com/SpyridonBakas/status/1599963601594241024

🐦🔗: https://twitter.com/SpyridonBakas/status/1602147822870175747

Wow! Great achievement!

RT @SpyridonBakas@twitter.com

6000 accesses in <7 days!
#Federated #MachineLearning enabling the largest #Glioblastoma study to date, without sharing patient data

@NatureComms@twitter.com: https://www.nature.com/articles/s41467-022-33407-5

#OpenSource #NCIITCR @NCIDataSci@twitter.com @FeTS_AI@twitter.com #OpenFL
#Healthcare #AI
#OpenScience @MeRAQi_lab@twitter.com @IntelAI@twitter.com @Penn@twitter.com https://twitter.com/SpyridonBakas/status/1599963601594241024

🐦🔗: https://twitter.com/SpyridonBakas/status/1602147822870175747