I'm very happy to add that Bioconductor has linked our (LCG) previous courses on R or Bioconductor at their workshop pages: http://bioconductor.org/workshops/2008 and http://bioconductor.org/workshops/2009 Those were mostly in Spanish.
Also, this semester I'll be teaching our first 32hr Bioconductor only course at LCG aimed at the 3rd semester students. It'll start this friday and end in December and we plan on preparing the material both in Spanish and English, talk in English on the classes and video record them. You can find more information and the syllabus at the course site: http://www.lcg.unam.mx/~lcollado/B/
Hoping to see you visit us,
Leonardo
PS LCG is short in Spanish for Undergraduate Program on Genomic Sciences
UNAM is short in Spanish for National Autonomous University of Mexico
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Hello from Mexico ^^
Hello,
I recently finished my undergrad at LCG-UNAM at Cuernavaca, Mexico. While looking for a graduate program for 2010, I'll be working for a year at a lab that is just getting started with NGS using Illumina/Solexa. As this lab will provide a sequencing and analysis service, we'll have all kind of projects from virus diversity, de novo sequencing & assembly (my 1st task to learn), promoter mapping, etc.
I'm a newbie with all the software involved in NGS and I'm here to learn
As for preferences, I like using R 
and I'm learning to use ubuntu.
See you around!
LeonardoLast edited by lcollado; 08-12-2009, 09:30 AM.
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Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.
The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
...06-02-2026, 10:05 AM -
With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.
Introduction
Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...05-22-2026, 06:42 AM
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