New release of the Cell Model Passports Database (https://t.co/YZPIe6AAZW). We've updated flagging of germline cancer predisposition variants & added 21 new mesothelioma models with @MesobanK. Thousands of people use our Passports each month - have you tried it yet? @DepMapSanger
New publication from the Sellers lab! We benchmarked 10 CRISPR libraries for dual-gene knockout screens, and a spCas9 system with different tracrRNAs consistently show superior performance. Promising strategy for future paralog & gene interaction screens! https://t.co/d9lXj2AJpA
I'm hiring postdocs to join my team at @CGM_MGH & Broad! We study patterns of rare variation in large genomic datasets (like gnomAD), and leverage those into insights about genetic risk for disease.
If you are interested, please reach out or apply here:
https://t.co/2MOkF3sij8
Incredibly excited to share our paper ‘Somatic mutation rates scale with lifespan across mammals’ now published @nature.
https://t.co/a68IkkTt33
An illustrated & updated tweetorial… [1/24]
Got an RNA-seq dataset with 50, 100, 200+ samples? Plug it into a differential expression tool and hope for the best? No! You need to consider QC, EDA, and modeling technical variation, or else risk generating spurious results. A thread on papers, methods, and best practices:
Just published a multidisciplinary paper where artificial intelligence/machine learning meets biology/proteomics and clinical medicine. New methods to predict single agent activity and rational combinations https://t.co/jj9ShOylQb @ICR_London @cancerBRC @CR_UK@ECMC_UK
New data released on Cell Model Passports (https://t.co/YZPIe6A3ao). We have added mutation, CNV and RNAseq data for more patient-derived organoid cultures. Many of the organoids can be accessed through @officialatcc as part of the Human Cancer Model Initiative. #organoid
We are hiring a Junior Group Leader!
If you are looking to establish an independent research programme within @CRUK_BI and @UofGCancerSci, we are keen to hear from you.
Take a look for more info ➡️https://t.co/8lyXQkj4fx
Fantastic new resource coming out now: proteomics of 1,000 cancer cell lines - adding a new layer to the cancer dependency map
Congratulations to @emanuelvgo @Garnettlab and collaborators for this work
Sanger researchers have just released the largest resource to show possible effective combinations of drugs to target tough-to-treat cancers
#CancerResearch#PrecisionMedicine
Read the full story ➡️ https://t.co/1FHdBQUW2l
Free access here: https://t.co/H9wJjXaXz7 [https://t.co/7A7hMECNM3] & we created a new database GDSC combinations (https://t.co/8FkEPkKeM2) for data mining. We hope the datasets will be a useful resource and are a new data layer for @depmapsanger. @CancerDepMap
Drug combinations can overcome therapy resistance but the number of possible combinations is vast. Today we published @nature a study using pharmacological screens in cancer cell lines and multi-omics analysis to identify effective combinations in defined molecular backgrounds.
We have a postdoc position open at @IMSB_ETH for someone with experience in phosphoproteomics in areas related with the function, dynamics, evolution and misregulation of PTMs (apply by March 20th, flexible starting date) #TeamMassSpec
https://t.co/kcxOpDKo2x
Update Alert for Cell Model Passport database (https://t.co/5GWukci6ll). Upgraded copy number data in 1265 cell lines and organoids, based on WES and mapped to GRch38. Annotation of amplified and deleted cancer driver genes. Thanks to @isidrolauscher and team for processing data.
Don't miss out. If you're a data scientist who loves integrating lots and lots of complex multi-dimensional genomics and CRISPR data this is a great opportunity. Closing Feb 1st.
https://t.co/VfAbiMKY3i
It's early days for me, but I can't imagine regretting my move into industry soon as I get to do what I enjoy most: doing research to save patient's lives.
Great thread on moving from academia into industry
How to leave academia (thread).
1. Make the decision
When it's time to leave academia, you'll know about it. If you're still unsure, it's not time yet. That's when you make a decision. 1/n
@AcademicChatter#AcademicChatter
We're so proud of the way our staff have pulled together, and the work we've managed to achieve this year 🔬🦠🧬
Here are just 2⃣1⃣ of the things we've learned in 2021 ✨
#ScienceTwitter#Genomics2021
https://t.co/zIgGenZBsn