Chris McFarland

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Chris McFarland

Chris McFarland

@CancerEvoLab

Professional news from the Cancer Evolution Group @cwru.

Cleveland, OH Присоединился Eylül 2015
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Jeff Maltas
Jeff Maltas@JeffMaltas·
Our recent @PRX_Life paper was selected as the very first journal cover and it looks great :) Past thread explaining why we're are just so excited about this result below:
Jeff Maltas tweet media
Jeff Maltas@JeffMaltas

Incredibly excited that our paper examining the role of ecological interactions in preexisting drug resistance is out! We tackle the apparent paradox between the cost of resistance in the absence of treatment, and the ubiquity of preexistence. 1/20 Link: go.aps.org/4c5FmH4

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Jake Scott
Jake Scott@CancerConnector·
Add in some good statistical approaches to fit non-monotone growth rates and you have a nice complete method. Comments welcome!!
Jake Scott tweet mediaJake Scott tweet media
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Athar Khalil
Athar Khalil@AtharKhalil17·
Come check my poster @aacr NCI-EROTIC international conference on Molecular Targets and Cancer Therapeutics A177 #Boston @CancerEvoLab
Athar Khalil tweet media
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Dr. Stacey Finley (USC Systems Bio Lab)
first time presenting this exciting new work from @colincess! he will have to do a #tweetorial when the paper comes out! #mathonco
Sandy Anderson@ara_anderson

Stacey now shows cool just accepted work in @PLOSCompBiol on modeling the tumor-immune ecosystem at the tissue scale. Love the idea of using a feed forward network to make macrophage state decisions facilitating a massive speed up in computational time!

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Chris McFarland
Chris McFarland@CancerEvoLab·
We have our first graduate: Xiangzhen Wei successfully defended his Master Thesis! Xiangzhen has been working collaboratively to extend TuBa-seq to model heterozygous losses for pharmacogenomic modeling. Congrats!!!
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Chris McFarland
Chris McFarland@CancerEvoLab·
@skryazhi This raises another question: given that sequencing is the biggest cost, shouldn't barcode lengths be a commonly-ordered read length (e.g. either 50, 100, or 150 bp)?
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Sergey Kryazhimskiy 🇺🇦
@CancerEvoLab It's a potentially good idea. I haven't thought too much about it. My initial thoughts: (1) the biggest cost is in sequencing, so length matters little until your barcode primers get too big and your reads get too long. The 38bp NNNWS barcode we propose does not hit these limits.
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Sergey Kryazhimskiy 🇺🇦
Do you use DNA barcodes to track lineages? Ever wondered how to design random barcodes and process sequencing data? @_miloj, @s_venkataram and I have a new pre-print for you! Best practices in designing, sequencing and identifying random DNA barcodes ecoevorxiv.org/t58xw/
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Chris McFarland
Chris McFarland@CancerEvoLab·
@skryazhi Very useful! I wonder if you have thoughts on paired-end sequencing? With Hi-Fi PCR, it can theoretically square sequencing errors without costing double. However in Fig. 3, a 60-bit barcode more than doubles the average hamming distance between barcodes relative to 30 bits.
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Sergey Kryazhimskiy 🇺🇦
We hope people find this work useful! And we love to get any feedback on the manuscript, here or by email.
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Chris McFarland
Chris McFarland@CancerEvoLab·
Thank you to Slava Tkachenko for helping us address all the reviewer concerns!
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Chris McFarland
Chris McFarland@CancerEvoLab·
Susanne, Christina Curtis and Dmitri recently characterized the proteotoxic response mechanisms to mutational load and experimentally-validated this model: biorxiv.org/content/10.110…
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