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NEWS

 

2020-07-09

July Session Oral Defense MT

When: Wed, 15 July, 09:15am – 14:00pm

Where: Teams (link

Program:

09.15 Carlos Pintado

Predicting pH-dependent aggregation of Intrinsically Disordered Proteins: SolupHred web server and DisProt characterization

Xavier Daura, Laura Masgrau, Leonardo Pardo

10.00 Jakub Wikawski

Analysis of parent-of-origin specific allelic expression in preimplantation mouse embryos

Marta Coronado, Bàrbara Negre, Isaac Salazar

10.30 Natalia Carreras

Mediation analysis of the association between polymorphic inversions and human traits with multi-omic data

Antonio Barbadilla, Juan Ramón González, Marta Puig

11.00 Laura Balagué

Common inversion polymorphisms and their role in Autism Spectrum Disorders

Antonio Barbadilla, Raquel Egea, Juan Ramón González

11.30 Break

12.00 Marta Benegas

Comparative analysis of Single-cell RNA sequencing analysis pipelines

Sònia Casillas, Marta Coronado, Raquel Egea

12.30 Pablo Francisco Carrión

Ancient genomes at the Roman Empire Frontier

Sònia Casillas, Marta Coronado, Raquel Egea

13.00 Sergio Aguilar

Weighted gene co-expression network analysis on PCAWG data

Antonio Barbadilla, Sònia Casillas, Raquel Egea

13.30 Maria del Carmen Romero

Defining the molecular and functional fingerprints of MPP5 cells at the single cell level

Antonio Barbadilla, Sònia Casillas, Raquel Egea

 

2020-02-19

Workshop on Master Thesis dissertations

When: Fri, 28th February, 09:30 am – 12:30 pm
WhereSala seminari Lynn Margulis (C3/023), Dpt de Genètica i Microbiologia, Facultat de Ciències i Biociències (map)

Program
  • 09:30-11:00 - Antonio Barbadilla: Guidance on the Master’s Thesis Dissertation and Tools
  • 11:30-12:30 - Margarita Navia: Bioinformatics Opportunities in Europe

 



Workshop on Entrepreneurship and Bioinformatics by Dr. Jordi Vinaixa (Academic Director at ESADE Entrepreneurship Institute)

When: Wed, 26th February, 09:30 – 13:30

Where: Sala Lynn Margulis (C3/023). Dpt de Genètica i Microbiologia, Facultat Ciències i Biociències, Universitat Autònoma Barcelona

Description: 
  • Entrepreneurship and Bioinformatics. Entrepreneurship in Biotech projects Dr. Jordi Vinaixa Academic Director at ESADE Entrepreneurship Institute. Webpage 

 


 

Visit to Barcelona Supercomputing Center (BSC

 

When: Wed, 19th Feb, 08:30 am – 09:30 am

Where: Barcelona Supercomputing Center-Centro Nacional de Supercomputación, Carrer de Jordi Girona, Barcelona, Espanya (map)

Description:

  • Visit to the 'Mare Nostrum' computer room. 
  • Conference

 

 


 

Visit to Centre Nacional de Análisis Genómico (CNAG)

When: Wed, 19th Feb, 10:00 – 12:00

WhereParc Científic de Barcelona, Baldiri i Reixac núm.4. (map)

Description Programme:

  • 10:30 Simon Heath "Applications of next generation sequencing to the study of DNA methylation"
  • 11.00 Marc Martí Renom "Integrative modeling of genomes and genomic domains"
  • 11:30 Visit to the Lab and the CPD

 


 

 

Student´s seminar session module 3

Mon, 10th February, 09:30 – 14:00

The last session of the module 3, on Monday 10th February, student's seminar session.

Where: Sala Lynn Margulis (C3/023). Facultat Ciències i Biociències, UAB   

See Session Program here

 


 

Closing conference Module 4: "SOM Biotech: drug re-innovation in rare diseases"

Who: Dra. Núria Reig, Chief Scientific Officer SOM Biotech     
When: Friday, 14th February, 15:00 
Where: Sala de Graus II, Facultat de Ciències i Biociències, UAB. 

Conference Announcement Poster 


DON'T MISS IT OUT!

NReig

 


 

Closing conference Module 3: "Paleogenomics and the reconstruction of past migrations and social processes; the case of the Iberian Peninsula"

Who: Dr. Carles Lalueza Fox, Group leader of the Paleogenomics Lab at IBE and CSIC Research Professor at UPF - City of Barcelona Prize for Scientific Research in 2007.      
When: Friday, 14th February, 12:30 
Where: Sala d'Actes, Facultat de Ciències i Biociències, UAB.

Conference Announcement Poster 


DON'T MISS IT OUT!

clalueza

 


 

SRGE Invited Seminars Calendar
Dr. OSCAR LAO: NATURAL COMPUTING APPLIED TO POPULATION GENOMICS

Sala Auditori | Centre de Recerca Matemàtica                        

                                                                            Dr. Oscar Lao

                                                            Group Leader Population Genomics Group

                                                                              CNAG-CRG

https://gbbe.uab.cat/srge-events/oscar-lao-natural-computing-applied-to-population-genomics/ 



Closing Conference Module 2: "The mutational footprints of cancer therapies"


Dr. Núria López Bigas
Group Leader UPF, ICREA y ERC
Prize Banc Sabadell Research 2016
WhenMon, 2 December, 12pm – 2pm
WhereAuditorium, Centre de Recerca Matemàtica (map)

 

               Poster of the conference

 

DON'T MISS IT OUT!


Núria López Bigas              


 

 

Closing conference Module 1: "Bioinformatics for Rare Disease research"

Who: Dr. Sergi BeltránHead of the Bioinformatics Unit, CNAG-CRG

When: Friday, 22nd November, 12:00 

Where: Sala de Graus, Facultat de Ciències i Biociències, UAB.

 

        Poster of the conference

 

DON'T MISS IT OUT!

SBeltran
Sergi Beltrán 

  

2019-09-26

The new course starts next Monday, September 30th!

We welcome all you to the new edition of the MSc in Bioinformatics at the Universitat Autònoma de Barcelona. As you know, the course starts next Monday, September 30th, at 9:30h in the C5/058 classroom of the Facultat de Biociències. Let me remind you that in the students master web page you will find the complete schedule of the course, as well as a map of the faculty with the exact location of your classroom. You can incorporate it in your personal Google calendar to be aware of the latest changes by clicking in this icon  + Google calendar of this  link.

You will have complete access to the student Web page using your NIU (Student Identification Number). 

In order to bring you to the classroom the first day, I invite you to meet Antonio Barbadilla and Raquel Egea at 09:15h at the main entrance of the Facultat de Biociències (central axis), right next to the concierge (main entrance). We will guide you to the classroom and will present several important aspects about the master before the class begins. If you have any problems/suggestions/questions, do not hesitate to contact me (the first days and also during the rest of the course). 

Regarding the classroom, it is a bioinformatics lab with one computer per student and it is devoted exclusively for students of this master during the first semester. You will have open access to it during the first semester, even if there are no programmed classes. In the following links you have the UAB normative of these spaces (in Spanish and English) and you should sign the last sheet for accepting the regulations and deliver it to me the first day.

 

We wish that this master fills completely your expectations and it becomes the decisive boost for your professional success.

Kind regards,

Raquel Egea

Master Manager
Master in Bioinformatics UAB

Parc de Recerca - Mòdul B, Espai MRB/018
Universitat Autònoma de Barcelona
08193 Bellaterra (Barcelona)
Tel.: +34 935868942
 

 

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Student's Area Master Bioinformatics UAB
Web 2.0 Learning Platform

7th Bioinformatics and Genomics Symposium

17 de desembre - Campus Nord de la UPC

See Final Program



Related news

 

Recent papers dealing with Computational Biology and/or Bioinformatics 


Computational Biology from ScienceDaily
Recent Headlines

Title Summary
Algorithm created by deep learning finds potential therapeutic targets throughout genome A team of researchers have developed an algorithm through machine learning that helps predict sites of DNA methylation - a process that can change the activity of DNA without changing its overall structure - and could identify disease-causing mechanisms that would otherwise be missed by conventional screening methods.

Sustainable chemistry at the quantum level Scientists are now using new quantum chemistry computing procedures to categorize hypothetical electrocatalysts that are 'too slow' or 'too expensive', far more thoroughly and quickly than was considered possible a few years ago.

AI and single-cell genomics The study of cellular dynamics is crucial to understand how cells develop and how diseases progress. Scientist have now created 'scVelo' - a machine learning method and open source software to estimate the dynamics of gene activity in single cells. This allows biologists to robustly predict the future state of individual cells.

Janggu makes deep learning a breeze Researchers have developed a new tool that makes it easier to maximize the power of deep learning for studying genomics.

Novel software reveals molecular barcodes that distinguish different cell types A new set of computational methods allows researchers to identify cell-type specific methylation patterns -- molecular barcodes -- in complex cell mixtures. The new tools can be applied to existing whole-genome methylation datasets from any species.

New computational method unravels single-cell data from multiple people
A new computational method for assigning the donor in single cell RNA sequencing experiments provides an accurate way to unravel data from a mixture of people. The Souporcell method could help study how genetic variants in different people affect which genes are expressed during infection or response to drugs, and help research into transplants, pe [+]


Computational human cell reveals new insight on genetic information processing
Researchers have developed the first computational model of a human cell and simulated its behavior for 15 minutes -- the longest time achieved for a biological system of this complexity. In a new study, simulations reveal the effects of spatial organization within cells on some of the genetic processes that control the regulation and development o [+]


Seeing is believing: Visualizing differences in RNA biology between single cells
Researchers developed the novel and publicly available computational tool Millefy to visualize heterogeneity in RNA biology between single cells. Using mouse embryonic stem cells and cells from triple-negative breast cancer patients, they demonstrated the utility of Millefy to identify cell-to-cell variability in read coverage in scRNA-seq data. Th [+]


Using deep learning to predict disease-associated mutations A research team implemented a robust deep learning approach to predict disease-associated mutations of the metal-binding sites in a protein. This is the first deep learning approach for the prediction of disease-associated metal-relevant site mutations in metalloproteins, providing a new platform to tackle human diseases.

Finally, machine learning interprets gene regulation clearly A new brand of artificial neural network has solved an interpretability problem that has frustrated biologists. With it, scientists may solve mysteries about gene regulation and drug discovery.

An algorithm for large-scale genomic analysis
The examination of Haplotypes makes it possible to understand the heritability of certain complex traits. However, genome analysis of family members is usually necessary, a tedious and expensive process. Researchers have developed SHAPEIT4, a powerful computer algorithm that allows the haplotypes of hundreds of thousands of unrelated individuals to [+]


AI helps reduce Amazon hydropower dams' carbon footprint A team of scientists has developed a computational model that uses artificial intelligence to find sites for hydropower dams in order to help reduce greenhouse gas emissions.

AI-powered tool predicts cell behaviors during disease and treatment Scientists have developed a tool that promises to reshape the way we study disease and disease treatment on a cellular level. Scientists have developed scGen, an AI-powered tool for predicting a cell's behavior in silico. scGen will help map and study cellular response to disease and treatment beyond experimentally available data.

Top tools for pinpointing genetic drivers of disease A new benchmarking study has determined the best analysis tools for identifying errors in a patient's DNA that are responsible for driving disease. Being able to pinpoint these 'genomic rearrangements' is vital for understanding how illnesses occur, and therefore, how best to treat them.

Take flight! Automating complex design of universal controller for hybrid drones
Hybrid unmanned aerial vehicles, or UAVs, are drones that combine the advantages of multi-copters and fixed-wing planes. These drones are equipped to vertically take off and land like multi-copters, yet also have the strong aerodynamic performance and energy-saving capabilities of traditional planes. As hybrid UAVs continue to evolve, however, cont [+]