Faraz Hach retweeted
Our work on Freddie, an annotation-indepented isoform discovery using long-reads tool, is finally published at @NAR_Open! Check the open access code and paper:
📄: academic.oup.com/nar/advance…
💾: github.com/vpc-ccg/freddie/
🐍: conda install -c bioconda freddie
Faraz Hach retweeted
Call For Papers is out, key dates announced:
Paper submission: Oct 7, 2022
Notification: Nov 20, 2022
Final versions due: Jan 8, 2023
More at recomb2023.bilkent.edu.tr/ke… and recomb2023.bilkent.edu.tr/ca…
Faraz Hach retweeted
Our latest manuscript by Ghazal Ebrahimi and @baraaorabi is now published by @iScience_CP!
"Fast and accurate matching of cellular barcodes across short-reads and long-reads of single-cell RNA-seq experiments"
💾: github.com/vpc-ccg/scTagger
📃: sciencedirect.com/science/ar…
Faraz Hach retweeted
If you are at @RECOMBseq, make sure to attend our grad student podium presentation by Ghazal Ebrahimi on scTagger:
📜: biorxiv.org/content/10.1101/…
💿: github.com/vpc-ccg/scTagger
Faraz Hach retweeted
Read our latest research published by @SpringerNature's @BioMedCentral on gene fusion detection using long-reads. Our latest tool, Genion, is developed by our PhD student @fkaraoglan_cs
📜: bmcgenomics.biomedcentral.co…
💻: github.com/vpc-ccg/genion
🐍: anaconda.org/bioconda/genion
Faraz Hach retweeted
RECOMB-Seq now has an official YouTube channel! Most talks from 2020 and 2021 are now available here:
youtube.com/channel/UCYdQZ9e…
Faraz Hach retweeted
📢ANNOUNCEMENT: The 2021 Scholar & Research Trainee awardees are advancing science and contributing to world-class #health #research in BC to ultimately improve the health of British Columbians. Meet the 86 recipients: bit.ly/3nmkcyn #MSFHRCommunity
Faraz Hach retweeted
I'll also be talking about mdBG in this year's RECOMB on Tuesday, August 31 at 3PM. Happening virtually, and free! xitter.cf/recomb21/status/142222…
Some updates! 🎆
The program for #RECOMB2021, featuring six distinguished keynote speakers, is now available!
recomb2021.org/program
To maximize the opportunity for every member of the community to join #RECOMB2021, we will offer #free registration to the conference! ⬇️
BISER extends our earlier SD-detection tool, SEDEF, to multiple genomes and will be presented in WABI 2021. Thanks to @msfhr and @NSERC_CRSNG for support :)
BISER: github.com/0xTCG/biser
SEDEF: github.com/vpc-ccg/sedef
New paper w/ #HamzaIseric, @f_hach and #IbrahimNumanagic, to be presented at WABI 2021: "BISER: fast characterization of segmental
duplication structure in multiple genome
assemblies" is now available online: drops.dagstuhl.de/opus/vollt…
Faraz Hach retweeted
Very proud of the latest work from our lab were we aimed to understand why there are vastly more androgen receptor binding sites (ARBS) than AR-regulated genes. We functional tested all common clinical binding sites and found.....genomebiology.biomedcentral.…👇1/n
Faraz Hach retweeted
The paper deadline for RECOMB-Seq 2021 is coming up on March 22! Check out the website for more information. recomb2021.org/recomb-seq-sa…
Faraz Hach retweeted
Our paper on annotation-free detection and discovery of alternative splicing has been accepted to @recomb2020! Congrats to our PhD student @baraaorabi and @VanProstateCtr and thanks to @NSERC_CRSNG and @msfhr for funding!
📰: biorxiv.org/content/10.1101/…
💾: github.com/vpc-ccg/freddie/
Replying to @ZaminIqbal
I am looking forward to an exciting talk by our invited speaker @ZaminIqbal at @VanBUG_ seminar this Wed. vanbug.org/2020/zamin-iqbal/
Faraz Hach retweeted
Today is #WorldCancerResearchDay and we can't think of a better way to celebrate it than to share this picture of TFRI-funded researchers coming together to honour Terry's legacy.
We want the world to know how committed we are to finding new cures for cancer...TOGETHER.
Faraz Hach retweeted
Checkmate, Chromosome 8: The First End-to-End Sequence of a Human Autosome. Congrats to @glennis_logsdon & the #T2T team on this amazing work! ow.ly/C6xx50Bx40T #HiFiReads
Replying to @VanBUG_
@VanBUG_ talk is happening now. Main talk by @RayanChikhi.
Great talk by @RayanChikhi on efficient indexing of k-mer presence and abundance!

















