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Won Cheol Yim
@
ascendox
Reno, NV
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Assistant Professor, UNR
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6.581
Tweetovi
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2.895
Pratim
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1.326
Osobe koje vas prate
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Won Cheol Yim
@ascendox
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11 h |
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RT mike_schatz "JasonWilliamsNY NSF thecarpentries Supercool! Would love to help out if possible"
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Won Cheol Yim
@ascendox
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4. velj |
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RT mike_schatz "GenomeRIK nanopore mattloose samkovaka alexomics Yes! Mutation in the DNA. Most were intronic but there was a heterozygous Alu insertion into MUTYH"
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Won Cheol Yim
@ascendox
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4. velj |
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RT mike_schatz "RT andrewejaffe: Check out our latest paper, and Twitter summary by bradymaherPhD! it's been an awesome collaboration over the years twitter.com/LabMaher/statu…"
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Won Cheol Yim
@ascendox
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4. velj |
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RT mike_schatz "RT Psy_Fer_: mattloose gringene_bio mike_schatz samkovaka timp0 nanopore DeepSeqNotts Indeed it has. Excellent
github.com/nanoporetech/r…"
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Won Cheol Yim
@ascendox
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3. velj |
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RT mike_schatz "andreaswallberg samkovaka timp0 nanopore Stay tuned :)"
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Won Cheol Yim
@ascendox
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3. velj |
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RT mike_schatz "KMS_Meltzy Thank you. Really all the credit goes to samkovaka for the brilliant programming and heroic efforts to get it all working. Im really excited to use this to profile mutations that have never been seen before in cancer and other important diseases"
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Won Cheol Yim
@ascendox
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3. velj |
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RT mike_schatz "KMS_Meltzy this project went from "nah, that will never work" to "hmmm, thats pretty interesting" to full on "HOLY COW, THAT IS AMAZZZZZINGGGGG!!!!!""
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Won Cheol Yim
@ascendox
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3. velj |
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RT mike_schatz "J_MartiCarreras olga_francino aldertzomer samkovaka timp0 nanopore mattloose yes! you can also deplete any genomes/regions that you are not interested in. We did this with a metagenomics sample to deplete the bacteria so that only the eukaryotic yeast remained"
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Won Cheol Yim
@ascendox
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3. velj |
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RT mike_schatz "wholebrainsuite I totally agree!"
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Won Cheol Yim
@ascendox
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3. velj |
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RT mike_schatz "aldertzomer samkovaka timp0 nanopore Great suggestion! I fully expect it would -- we will have to test that out"
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Won Cheol Yim
@ascendox
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3. velj |
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RT mike_schatz "Kevin_McKernan samkovaka timp0 nanopore Yes, coverage over target region has little to no bias and follows a Poisson distribution exactly as expected. pic.twitter.com/vDGmScxBpI"
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Won Cheol Yim
@ascendox
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3. velj |
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RT mike_schatz ".nanopore's write up on how adaptive sequencing works by controlling pore voltages in real time. Amazing that we can have so much control over individual molecules of DNA! nanoporetech.com/about-us/news/… samkovaka mattloose timp0 alexomics #Star… pic.twitter.com/vNOvKkBuD6"
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Won Cheol Yim
@ascendox
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3. velj |
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RT mike_schatz "mattloose nanopore alexomics Rorymatics DeepSeqNotts generoom Beautiful ribbon plots :) marianattestad"
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Won Cheol Yim
@ascendox
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3. velj |
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RT mike_schatz "samkovaka timp0 nanopore UNCALLED works directly from signal data, and complements the amazing work mattloose et al also posted today to demonstrate streaming basecalling for a similar capability: twitter.com/mattloose/stat…"
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Won Cheol Yim
@ascendox
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3. velj |
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RT mike_schatz "samkovaka timp0 nanopore Very exciting day for "adaptive sequencing" - lets us smash through Poisson coverage distributions to turn 5x coverage into 30x over the regions we are actually interested to see"
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Won Cheol Yim
@ascendox
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3. velj |
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RT mike_schatz "samkovaka timp0 nanopore With it we show how you can reach 30x coverage of a 148 gene cancer panel on a single MinION run to yield SV calling 100% concordant to deep coverage ONT or HiFi reads. Crucially, we find twice the number of S… pic.twitter.com/UAtxghTq4S"
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Won Cheol Yim
@ascendox
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3. velj |
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RT mike_schatz "Introducing "Targeted nanopore sequencing by real-time mapping of raw electrical signal with UNCALLED" with samkovaka timp0 et al. Does selective enrichment and depletion of any targeted genomic region purely in software for nanopore … biorxiv.org/content/10.110…"
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Won Cheol Yim
@ascendox
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31. sij |
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RT mike_schatz "jltsiren cHHillee JeffDean melanie_kirsche Cool! Hadn’t seen that one. Sapling is more specialized but I would put it into the same (extended) family of ideas"
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Won Cheol Yim
@ascendox
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30. sij |
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RT mike_schatz "RT DCGenomics: This may be my last tweet for a while about NCBI resources, but an important one for #virologist colleagues. Please R/T! Here are the CoV sequences from Wuhan and US isolates: ncbi.nlm.nih.gov/labs/virus/vss…
linsalrob JasonWilliamsNY jxtx nomad421 DoctorR…
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Won Cheol Yim
@ascendox
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30. sij |
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RT mike_schatz "cHHillee JeffDean melanie_kirsche One major difference is showing a simple piecewise linear model is extremely effective (more effective?) but impossible to do a head to head comparison since they didn’t release anything"
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