Tirso Pons

Recycled theoretical physicist working on Structural Bioinformatics, Computational Biology and functional annotation of variants.

[Marisol Soengas @msmelanoma]

@twitamit_es: El 50% de los Jefes de Investigación del CNIO (la mitad mujeres), hemos solicitado un proceso de recambio de la dirección científica del centro. Esta petición está basada en argumentos contrastables que de ninguna manera incluyen un componente de género.
@CienciaGob

[Steve Pettitt @stveep]

Updated https://t.co/I41HW1bKGH to include lots of new cases, including from our recent paper (https://t.co/AxhADKLR6Z). Now includes 759 reversions from 382 patients. Big thanks to @LorenaMagraner and @RachelAlcraft for annotations & maintenance @ICR_London @BreastCancerNow!

[Tirso Pons @tp_hernandez]

@eportacangen @victoriaISruiz Another tool that isn't listed in Table S1 is Structure-PPi (https://t.co/u5X42c6k7P)

[Laura Valle @LValleResearch]

Circulating microRNA signature predicts cancer incidence in Lynch syndrome – a pilot study

Interesting: BMI-associated c-miRs predict LS cancer incidence within four years.

https://t.co/YkBx9yRbqv

[Tirso Pons @tp_hernandez]

Dido1 and diet-induced obesity
1- PNAS: https://t.co/utH8bq0M9w
2- EL PAÍS: https://t.co/dtSDznqJgl

[Hao Yin @HaoYin20]

A guidebook of spatial transcriptomic technologies, data resources & analysis approaches🤠

A great ending for my 2-wk learning of #SpatialTranscriptomics tools

Start reading real-world #SpatialOmics
& preparing for @IVBM2024😆

@CSB_Journal 👉Jan 2023
https://t.co/E1pCkDlg55

[Jesus Perez Gil @birloque]

¿Cómo que no hay investigadores en Biociencias de menos de 40 años en la @ComunidadMadrid a quien pueda merecer premiar?
¡No se puede creer!

https://t.co/pJFSbOxxj0

[🔬 R-loop @R_loop_papers]

R-loop-derived cytoplasmic RNA-DNA hybrids activate an immune response https://t.co/IvoVl6g2cs

[Rafael Irizarry @rafalab]

Clustering algorithms report clusters even when none exist. In single-cell RNA-Seq pipelines, novel cell types are often identified by clustering algorithms. Expanding on Kimes et al.'s work, we introduce significance analysis for single-cell RNA-Seq data: https://t.co/ut1kPjKVCM

[Steven Ge @StevenXGe]

Top 50 most popular tools for pathway analysis.
1. Overrepresentation analysis (ORA) using a gene list
2. Functional class scoring (FCS) using expression data or some metrics.
Based on a survey by @mdziemann's group https://t.co/pjY000GMBu

[Laura Valle @LValleResearch]

This is AMAZING; a piece of art that puts into historical context the discovery of the pathogenetic basis of colorectal cancer: RAS, APC, MSI, MMR genes in Lynch syndrome.

Thank you Rick Boland, @MattYurgelun et al. for this article.

https://t.co/2iMwtvQVEl

[antisense. @razoralign]

A draft human pangenome reference https://t.co/fI5E1Pbu7z

[Laura Valle @LValleResearch]

Lynch syndrome: a single hereditary cancer syndrome or multiple syndromes defined by different mismatch repair gene… https://t.co/3KQYxbX0aM

[Ahmed Moustafa @AhmedMoustafa]

NCBI just released the count matrices for thousands of RNA-Seq 🧬 experiments on GEO 🎉 an amazing resource 🤩 #RNASeq #Transcriptomics #Bioinformatics #OpenScience #OpenData https://t.co/k8Ii7b7Ch1

[Laura Valle @LValleResearch]

New data from our group and analysis of previous evidence question the causal role of germline WWP1 variants in PTEN-hamartoma-tumor syndrome (PHTS)-like and gastrointestinal polyposis predisposition as an alternative to PTEN mutations.

https://t.co/F5chYeswpc

[Laura Valle @LValleResearch]

Integrated multi-omics approach to distinct molecular characterization and classification of early-onset colorectal cancer https://t.co/Q9HJOOSy7t

[Vipin Singh @dr_vipin_singh]

R for Biologists !
Follow the link
#R #rprogram #classroom_vipin #biotech #bioinformatics

https://t.co/YgoKUxPyK4

[bioRxiv Bioinfo @biorxiv_bioinfo]

RNA-seq preprocessing and sample size considerations for gene network inference https://t.co/dYGwHIbAFX #biorxiv_bioinfo

[🔬 R-loop @R_loop_papers]

Pathophysiological Role and Diagnostic Potential of R-Loops in Cancer and Beyond https://t.co/IeRau1jl9v

[Ceres Fernandez @Ce_recilla]

It’s finally out! Go check how we’ve integrated genomic, transcriptomic & methylomic data to obtain the most comprehensive map of CRC genetic predisposition ⁦@idis_research⁩ ⁦@GMXenomica⁩ https://t.co/itcxpAk1s4