The Genomic Basis of Adaptation: Q&A with our instructors

Posted on 5th July, 2020 by Carlo Pecoraro

Deep Learning in Biology: a chat with our instructors.

Posted on 26th June, 2020 by Carlo Pecoraro

Biology and medicine studies are nowadays producing an incredible amount of data, which are opening new opportunities, but also pose new challenges. In this context, Deep Learning (DL), which is a set of techniques that permits machines to predict outputs from a layered set of inputs, is always more used across several fields.- Continue reading


Discovering the world of the Long-read nanopore Sequencing

Posted on 12th December, 2019 by Carlo Pecoraro

Nanopore sequencing technology is an emerging and a promising sequencing technology, which promises high sequencing throughput, low cost and longer read length. Despite all these advantageous characteristics, nanopore sequencing has one major drawback: high error rates! - Continue reading

Geometric Morphometrics: the importance of the shapes

Posted on 4th October, 2018 by Carlo Pecoraro


Geometric morphometrics (GM) has become a standard in biological research because it combines statistical rigour and ease of interpretation.  Continue reading

The Genomics of Speciation: the origin of new species

Posted on 11th August, 2018 by Carlo Pecoraro


Speciation is a fundamental process responsible for creating the diversity of life on the Earth. How do new species form?  Continue reading

Mobile DNA segments: Transposable elements

Posted on 01st March, 2018 by Carlo Pecoraro


Transposable elements (TEs), also known as "jumping genes" or transposons, are sequences of DNA that move (or jump) from one location in the genome to another.  Continue reading

metabarcoding: Transforming the way in which biodiversity can be surveyed

Posted on 09th January, 2018 by Elizabeth Bourne


In the last 15 years, DNA barcoding has transformed the traditional way we can study biodiversity. Now the field is shifting from barcoding individuals to metabarcoding communities. Metabarcoding is a rapid method of biodiversity assessment that involves high-throughput DNA sequencing, bioinformatics pipelines, computational infrastructure, and experimental designs. Continue reading

dealing with radseq data: some tips from our instructors

Posted on 16 October, 2017 by Carlo Pecoraro


The rapid advent of next-generation sequencing (NGS)-based genotyping methods has significantly improved our ability to analyse thousands of molecular markers across the entire genome, at an unprecedented cost and speed. Restriction-site-associated DNA sequencing (RAD-seq) and related approaches are the most popular among those methods (i.e. the original RADseq papers, published in 2007 and 2008, have almost 2000 citations in Google Scholar). Continue reading

Visualizing genomic data: techniques and challenges.

Posted on 27 June, 2017 by Carlo Pecoraro


The advent of Next Generation Sequencing technologies has allowed the rapid production of massive amounts of genomic data, and created a corresponding need for new tools and methods for visualizing and interpreting these data in order to extract relevant biological information. Continue reading


R without fear

Posted on 18 May, 2017 by Carlo Pecoraro

At the R Project  website, R is defined as a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. Continue reading


RNA-seq data analysis

Posted on 08 March, 2017 by Marianna Pauletto


RNA-Seq (RNA sequencing), has revolutionized the manner in which eukaryotic transcriptomes are analysed, at an unprecedented scale and speed, even in non-model organisms.  Continue reading

Switching from population genetics to Population genomics

Posted on 25 February, 2017 by Carlo Pecoraro


The term ‘population genomics’ started to appear in the literature from the late 1990s, mainly in the context of large-scale polymorphism analyses in humans. Continue reading

Want to learn more about data visualization with Python?

Posted on 10 January, 2017 by Carlo Pecoraro



Data visualization is an important part of being able to explore data and communicate results. Continue reading