News from the Genomics of Gene Expression Lab at @i2sysbio @CSIC. Led by @anaconesa
Valencia
Joined January 2023
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Conesa Lab retweeted
🔬¿Te interesa la bioinformática?Beca JAE Intro en @I2SysBio
Desarrolla HaploScope, un pipeline híbrido (Illumina+Nanopore/PacBio) para reconstruir haplotipos bacterianos y virales
Código: JAEINT25_EX_1603
🗓️Hasta 2 mayo
👉rb.gy/c6c8p2
#Bioinformática #JAEIntro #CSIC
Conesa Lab retweeted
LongTREC consortium is organizing a Long-reads Bioinformatics Summer School at @EarlhamInst from 14-17th July.
Check the link for more information: earlham.ac.uk/events/long-re… or contact us if you have questions: longtrec.eu/contact/
Conesa Lab retweeted
We are migrating to Bluesky! Super excited with the change and looking forward to lots of scientific discussions! Follow us at @conesalab.bsky.social 🥳🎉
We will close this account soon👋 Hope to see you on the other side!
Conesa Lab retweeted
The latest preprint from GENCODE focuses on expanding and unifying lncRNA annotations. GENCODE: massively expanding the lncRNA catalog through capture long-read RNA sequencing biorxiv.org/content/10.1101/… @_Rory_Johnson_ @GOLDLab_UCD @GuigoLab @RodericGuigo @GencodeGenes
Conesa Lab retweeted
Now listening to Ralf @drherwig from @LongtrecEU talking about the relevance of splicing in SF3BI mutations in cancers. Many novel transcripts with high expression and a significant contribution of alternative TTS and intron detection to the disease.
Conesa Lab retweeted
Alba Arévalo finalist of the “Promega Rising Researchers” Awards uv.es/institute-integrative-…
Conesa Lab retweeted
@LongtrecEU featured in the #LRUA24 #long-reads Conference opening ceremony by our partner @_adameur @scilifelab
Conesa Lab retweeted
📢¡No te lo pierdas!📅Mañana, viernes 18, de 11 a 12:30h, sigue en vivo el Workshop on Strategies for International Funding of BCB Groups, organizado por el HubBCB. Si no estás en el Congreso SEBiBC, ¡puedes verlo en nuestro canal de YouTube! 🎥youtube.com/live/PilN4OOesyU…
Conesa Lab retweeted
Wide proteomics evidence of extended UTR translation with non canonical features and poor conservation reveals a hidden protemics diversity. It can have effect on extra cellular proteins, by Mike Tress @SEBiBC_es @BCBHubCSIC
Conesa Lab retweeted
Second day of the @SEBiBC_es conference starts with @LuzGarAl , CellphoneDB developer talking about her impressive work on creating cell atlases of the female reproductive system #single-cell @BCBHubCSIC @INB_Official
Conesa Lab retweeted
Enjoyable and inspiring talk by @ChristineOrengo at the @SEBiBC_es Conference about her The Enciclopedia of Domains to understand protein structure, families, functional plasticity and evolution @ELIXIREurope @iscb sponsored by @BCBHubCSIC
Conesa Lab retweeted
Inspiring talk by @CarolMonzo, postdoc from @Conesa_Lab about her amazing career path in #bioinformatics. Follow her and will see! She is @RSGSpain member and now chair of the JuniorHUB from @BCBHubCSIC. @CSIC Soooo proud 😍
Conesa Lab retweeted
great PhD defense by Fran today in Valencia, long read transcriptomics is the way forward!
Thanks a lot to @FJPardoPalacios' supervisors @anaconesa and Sonia Tarazona. And his outstanding examination committee @falshahrour, @maralbasoler and @jblanca42.
Conesa Lab retweeted
📡The workshop Strategies for International Funding of Computational Biology and Bioinformatics Groups sponsored by @BCBHubCSIC @SEBiBC_es @Europeos_CSIC will be live-streamed on our YouTube channel!
👉youtube.com/live/PilN4OOesyU…. 📺🗓️Don´t miss it!
Conesa Lab retweeted
Gracias a María José Terrón de @concieMcia por este regalo de cumpleaños y por su incansable trabajo difundiendo la labor de las mujeres en ciencia @UMyC_Ciencia @MujerIng_UCLM @RAI_Ingenieria @CSIC @BCBHubCSIC
Conesa Lab retweeted
The researcher Emilia Matallana, @EmiliaMatallana protagonist of the mural Dones de Ciència (Women of Science) uv.es/institute-integrative-…
Conesa Lab retweeted
If you liked #SQANTI, you're gonna love our latest #SQANTI-reads to support raw-long-read QC in multi-sample experiments. Detect outliers, find biases, and assess discovery power in your LRS dataset. Great collaboration with @LaurenMMcIntyr1 team. Preprint biorxiv.org/content/10.1101/…
