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Top Tweets for #hitseq19

GenscaleTeam's profile image
GenScale Team @GenscaleTeam
Congrats to @LolitaLecompte who presented SVJedi, our new tool to genotype SVs with long reads, at #HiTSeq19 in Basel!
GenscaleTeam's tweet photo. Congrats to @LolitaLecompte who presented SVJedi, our new tool to genotype SVs with long reads, at #HiTSeq19 in Basel! https://t.co/Wy14XsaQxu
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HiTSeq's profile image
HiTSeq 2026 @HiTSeq
Numbers are in. 536 registrations for #hitseq19! #wearethechampions
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HiTSeq's profile image
HiTSeq 2026 @HiTSeq
We would like to thank our sponsor, @awscloud for supporting @HiTSeq #hitseq19
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ZaminIqbal's profile image
Zamin Iqbal @ZaminIqbal
Great views of Basel with @richardneher and @firefoxx66 at #HiTSeq19
ZaminIqbal's tweet photo. Great views of Basel with @richardneher and @firefoxx66 at #HiTSeq19 https://t.co/wJNflA50IN
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holtjma's profile image
Matt Holt @holtjma
PL #HiTSeq19 #ISMBECCB: with the number of bisulphite tools available, there are over 2500 combinations of workflows; does the choice matter? Are there significant differences in workflow?
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HiTSeq's profile image
HiTSeq 2026 @HiTSeq
Session will be closed by @pavlo_lutsik: "PipelineOlympics: Benchmarking of processing workflows for bisulfite sequencing data" #hitseq19
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HiTSeq's profile image
HiTSeq 2026 @HiTSeq
Moving to CRSPR with @hyunhwanj: "Beta-binomial modeling of CRISPR pooled screen data identifies target genes with greater sensitivity and fewer false negatives" #hitseq19
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HiTSeq's profile image
HiTSeq 2026 @HiTSeq
More SVs! @LolitaLecompte presents "Genotyping structural variations using long reads data" #hitseq19
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HiTSeq's profile image
HiTSeq 2026 @HiTSeq
Afternoon session starts with @calkan_cs: "Characterization of large-scale structural variants using Linked-Reads" #Hitseq19
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holtjma's profile image
Matt Holt @holtjma
QL #HiTSeq19 #ISMBECCB: results - hicGAN recovers meaningful chromatin loops (as identified with Fit-HiC), ~90% recall, ~75% precision; ~30% increase over low-res original sample and is comparable to hi-res sample; model can also help identify cell-type specific domains
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anaconesa's profile image
AnaConesa @anaconesa
Today chairing the Tuesday #Hitseq19 session. Our keynote Andrew Adey is a pioneer on ATAC-seq, talking about single-cell combinatorial ATAC-seq. #ISMBECCB2019
anaconesa's tweet photo. Today chairing the Tuesday #Hitseq19 session. Our keynote Andrew Adey is a pioneer on ATAC-seq, talking about single-cell combinatorial ATAC-seq. #ISMBECCB2019 https://t.co/gickoWGi38
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TheMarcelSchulz's profile image
Marcel Schulz - @[email protected] @TheMarcelSchulz
If you are working with #bisulfite-seq data don't miss the talk by Jonas Fischer at 3:20 pm in #hitseq19 about our FAME tool for fast estimation of CpG methylation in bulk and #single cell data https://t.co/gbuR0Br7vm #ISMBECCB2019
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HiTSeq's profile image
HiTSeq 2026 @HiTSeq
Good morning #hitseq19! We start the second day with a keynote by @acadey80: "Advances in single-cell epigenomics using combinatorial indexing"
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HiTSeq's profile image
HiTSeq 2026 @HiTSeq
First day of #hitseq19 concludes. Thanks to our speakers, and keynote speakers @cncurtis and @ZaminIqbal. Poster session starts at 18:00.
HiTSeq's tweet photo. First day of #hitseq19 concludes. Thanks to our speakers, and keynote speakers @cncurtis and @ZaminIqbal. Poster session starts at 18:00. https://t.co/4X15xTBnwJ
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holtjma's profile image
Matt Holt @holtjma
ZI #HiTSeq19 #ISMBECCB: Pandora is still a work in progress, but the current version is available on GitHub: https://t.co/O2ssgGnf82
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GigaScience's profile image
GigaScience @GigaScience
· Basel-City
.@ZaminIqbal taking pangenomes in #HiTSeq19 and referencing the Piggy intergenics we published from @EpicFeil_ https://t.co/1ZSWYPDJiJ #ISMBECCB19 #ISMBECCB
GigaScience's tweet photo. .@ZaminIqbal taking pangenomes in #HiTSeq19 and referencing the Piggy intergenics we published from @EpicFeil_ https://t.co/1ZSWYPDJiJ #ISMBECCB19 #ISMBECCB https://t.co/hPPW7gEMlx
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holtjma's profile image
Matt Holt @holtjma
ZI #HiTSeq19 #ISMBECCB: Pandora built a graph from 350 genomes (>23k genes); 50 min to index it (16 threads)
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anaconesa's profile image
AnaConesa @anaconesa
"Two random E.coli genomes will contain ONY 60% common genes" Zam Iqbal says at #hitseq19 #ISMBECCB19 . Interesting....
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holtjma's profile image
Matt Holt @holtjma
ZI #HiTSeq19 #ISMBECCB: background on bacteria - many different processes that can cause genetic variation; leads to a bacterial pan-genome; most of genome is genic and only ~60% of genes are identical (he contrasted this to humans with mostly non-genic and >99% identity)
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holtjma's profile image
Matt Holt @holtjma
ZI #HiTSeq19 #ISMBECCB: he has the absolute best lab photo of all time (@ZaminIqbal)
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