Towards accurate, reference-free differential expression: A comprehensive evaluation of long-read de novo transcriptome assembly https://t.co/CR7YjdjTRW #biorxiv_bioinfo
Our new paper examining how to analyse longread RNA-seq with no reference genome. We compare approaches for assembly and downstream analysis, from transcript accuracy to differential expression. Lead by @alexyfyf. Thnx to all contributors incl. @QGouil for the pea data!
Fantastic day at #ASCS2024 in Okinawa🇯🇵😊 There have been so many wonderful presentations! Feeling very grateful to have had an opportunity to present our tool and R package, IdentifiHR, a model to predict homologous recombination status in #HGSC using ONLY gene expression✨
#BioInfoSummer 24 Day 1⃣: Whole cell modelling
Prof. Markus Covert @Stanford
Dr Megan Coomer #CellBauhaus
Dr Adriana Zanca, Dr Lucy Ham, Dr Kaan Öcal, Dr Augustinas Šukys, Dr Sean Vittadello & Dr Michael Pan @UniMelb@vinisalazar_ @MelBioInf
Register: https://t.co/twOr0weqPw
Maximise your #BioInfoSummer2024 experience by attending in-person at @UniMelb.
Students from AMSI Member Universities can apply for a #TravelGrant which offers on-campus accommodation and travel funding support.
Apply by 14 October: https://t.co/79EOlmYHP6
Multi-institutional effort for the precancer atlas of high grade serous ovarian carcinoma (HGSOC). We have discovered gradual changes in the precancer microenvironment by multimodal spatial profiling, a shift from immune surveillance to immune suppression.
https://t.co/wr0YEEfx4o
IdentifiHR can predict the HR status of one or many HGSC samples and requires only a counts table. We have built this tool as an R package and hope it will be used to extend our understanding of HGSC. IdentifiHR can be access at: https://t.co/bQftxnQJnt
So excited to share our preprint for IdentifiHR 🎉 IdentifiHR is a model to predict homologous recombination (HR) status in high-grade serous ovarian carcinomas (HGSC) using ONLY gene expression!
V. proud to share this new work from @ashleyweir0 in my group. A new gene expression based classifier for HDR in Ovarian Cancer. https://t.co/5R9KngIyPB
Latest paper from us showing PARP inhibitor resistance caused by 2ndry mutations that alter splicing
Nesic, K., Krais, J.J., Wang, Y. et al. BRCA1 secondary splice-site mutations drive exon-skipping and PARP inhibitor resistance. Mol Cancer 23, 158 (2024). https://t.co/5Pr0vqrd6S
Want an easy to use and fast error/SNP tolerate grep-like tool? Have complex barcodes or indices to demultiplex from raw `omics data? Flexiplex is now published, 🥳https://t.co/7oMnclGAQN, with some great software updates for even more flexibility, https://t.co/sgBXA7a3bQ 1/3
Fantastic week at the @EBItraining Summer School in Bioinformatics!! Had a great time investigating genome variation using @ensembl's VEP! Can't wait to put some new computational skills to use!
A huge thank you to all of you that joined us at this week's summer school in #bioinformatics, run in association with @ELIXIREstonia.
Sign up for alerts on the 2024 edition and be the first to know as the course develops: https://t.co/3iVokVCubu
Fantastic week at the #ANZGOG2023ASM! So wonderful to learn about recent advances gynaecological cancers through pure science and clinical #research efforts!
Excited to share our work in the #OTTA consortium! We assess the survival associations #TP53 mutations, through abnormal p53 IHC patterns, in ovarian carcinoma histotypes. Check it out here: https://t.co/8ojUCocf91
I am honoured and excited to have received a @CSL Translational Data Science Scholarship to support my research in drug repurposing for #OvarianCancer!
Congrats to our five PhD students who have received @CSL Translational #DataScience Scholarships! 👏👏
The inaugural funding program is a new WEHI-CSL collaboration aimed at fostering #drugdiscovery research. 🧵 1/3