Workshop Hands-on course on High Throughput Sequencing data analysis Genomics, Transcriptomics, Epigenomics

Los invitamos al workshop Hands-on course on High Throughput Sequencing data analysis Genomics, Transcriptomics, Epigenomics del 27 al 30 de noviembre en el marco del 2do Foro Internacional de Biología Computacional.

imagen workshop1

Apoyado por:


¿A quién está dirigido?

Este taller teórico-práctico está dirigido a investigadores en ciencias biológicas, ciencias de la computación y áreas afines que estén interesados en el análisis de secuencias (que no requieren uso de la línea de comandos), las cuales explotan el poder computacional disponible en la nube, con servidores gratuitos o que pueden ser alquilados de acuerdo a las necesidades de los grupos de investigación.

  ¿Qué temáticas se tratarán?

The University of Los Andes and the Hub of Bioinformatics and Biostatistics of the C3BI (Center of Bioinformatics Biostatistics and Integrative Biology) at Institut Pasteur will organize this Hands-on course aimed at students/researchers that have produced High Throughput Sequencing (HTS) datasets and would like to learn how to get the most out of it. This course will provide a general introduction to the bioinformatic and statistical aspects of HTS data analysis, alternating theory and practice. The objective is to present the general concepts such as file formats, mapping of sequences, as well as, the specific procedures for each data type: DNA-Seq, RNA-Seq, Chip-Seq. An additional session will be devoted to the pathway and functional analysis for gene set issued from differential or other kind of analysis.

Knowledge of the basic Linux and R commands is highly recommended. Otherwise it is advisable to follow the introductory tutorial available on the course web page.


*Cambios sin previo aviso

Day 1 (Introduction day)

Hora Actividad
8:00 - 8:30 Welcome / registration
8:30 a.m - 12:30 p.m Presentation of the course [T]
Introduction to HTS/NGS technologies (Illumina, PacBio, NanoPore, etc.) [T]
Some basics stats/probability concepts; Particularities of NGS sampling; underlying distributions, etc. [T]
2:00 p.m - 6:00 p.m Quality analysis (error and bias of different technologies, quality metrics in sequencing, etc) [T/P]
Introduction to file formats (FASTA, SAM, BED, BAM...) [T/P]

Day 2 (First HTS day)

Hora Actividad
8:30 a.m - 12:30 p.m Alignment and mapping and algorithms [T]
Mapping against a reference - Mapping for cleaning contaminants [P]
2:00 p.m - 6:00 p.m Assembly [T/P]

Day 3 (Second HTS day)

Hora Actividad
8:30 a.m - 12:30 p.m Transcriptomics: Expression quantification, differential analysis, splice variant analysis [T/P]
2:00 p.m - 6:00 p.m Epigenomics [T/P]: Quality control of IP enrichmnet, peak calling and introduction to differential analysis [T/P]

Day 4 (Annotation and visualization day)

Hora Actividad
8:30 a.m - 12:30 p.m Pathway analysis and functional analysis [T/P]
2:00 p.m - 6:00 p.m Introduction to analysis in Galaxy
Visualization of datasets in the genome browser IGV




Estudiantes* y egresados - 10%: $ 45.000
Afiliados a SisAndes - 20%: $ 40.000
Descuentos para grupos mayores a 10 personas - 30%: $ 35.000

*Los estudiantes deben presentar carnet vigente para ingresar al taller

  Fechay hora

Fecha: 27 de Noviembre - 30 de Noviembre
Hora: 8:00 a.m. a 5:00 p.m.


Waira 2

Universidad de los Andes - Edificio Mario Laserna

Cra. 1 Este No. 19 A - 40


Please fill the following form (in English) in order to apply for participation in the "Hands-on course on High Throughput Sequencing data analysis: Genomics, Transcriptomics, Epigenomics".

The selection will be confirmed on Monday November 20. The deadline for registration and payment is November 24. Remember that the course will be partially taught in English.




Alejandro Reyes Muñoz

Profesor Asociado de la Universidad de los Andes


Claudia Chica

Senior Bioinformatician - C3BI - Institut Pasteur, Paris, Francia.

As a computational biologist I have been involved in various projects seeking to answer different biological questions. Those projects have allowed me to define my main research interest, namely the evolutionary study of the emergence, storage and modulation of information in biological systems assisted by computational methods.

During my research career I have acquired extensive experience in the analysis of sequence data at the DNA and protein level. I’m trained both in NGS bioinformatic protocols (ChIP-seq, ATAC-seq, RNA-seq, genome assembly) and fine detail sequence analysis. Most importantly, I have gained proficiency in the use of the statistical models that are at the basis of the quantitative analysis of low and high throughput sequence data.

Additionally, my experience as a lecturer and instructor has taught me that training researchers about the formal basis of bioinformatic methodologies is the key for a successful collaboration between wet and dry lab. Likewise, I have gained valuable skills by working within two international consortia (TARA Oceans project and TRANSNET): the ability to collaborate with multidisciplinary groups and to coordinate younger researchers.

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Rachel Legendre

Research Engineer - C3BI - Institut Pasteur, Paris, Francia

Rachel Legendre is a bioinformatics engineer. She completed her master degree in apprenticeship for two years at INRA in Jouy-en-Josas in the Genetic Animal department. She was involved in a project aiming at the detection and the expression analysis of micro-RNA involved in an equine disease.

In 2012, she joined the Genomic, Structure and Translation Team at Paris-Sud (Paris XI) university. She worked principally on Ribosome Profiling data analysis, a new technique that allows to identify the position of the ribosome on the mRNA at the nucleotide level.

Since november 2015, she joined the Bioinformatics and Biostatistics HUB at Pasteur Institute and she’s detached to the Biomics Pole in CITECH, where she is in charge of the bioinformatics analyses for Transcriptomic and Epigenetic Platform.

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Información adicional

  • Fecha: Lunes, 27 Noviembre 2017
  • Hora: 8:00am
  • Lugar: Sala Waira
Leído 382 Tiempo Última modificación Martes, 07 Noviembre 2017 09:46