The bioinformatics chat is a podcast about computational biology, bioinformatics, and next generation sequencing.
The bioinformatics chat is produced by Roman Cheplyaka.
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#28 Space-efficient variable-order Markov models with Fabio Cunial
December 28, 2018
This time you’ll hear from Fabio Cunial on the topic of Markov models and space-efficient data structures. First we recall what a Markov model is and why variable-order Markov models are an improvement over the standard, fixed-order models. Next we discuss the various data structures and indexes that allowed Fabio and his collaborators to represent these models in a very small space while still keeping the queries efficient. Burrows-Wheeler transform, suffix trees and arrays, tries and suffix link trees, and more!
#27 Classification of CRISPR-induced mutations and CRISPRpic with HoJoon Lee and Seung Woo Cho
November 29, 2018
In this episode HoJoon Lee and Seung Woo Cho explain how to perform a CRISPR experiment and how to analyze its results. HoJoon and Seung Woo developed an algorithm that analyzes sequenced amplicons containing the CRISPR-induced double-strand break site and figures out what exactly happened there (e.g. a deletion, insertion, substitution etc.)
#26 Feature selection, Relief and STIR with Trang Lê
October 27, 2018
Relief is a statistical method to perform feature selection. It could be used, for instance, to find genomic loci that correlate with a trait or genes whose expression correlate with a condition. Relief can also be made sensitive to interaction effects (known in genetics as epistasis).
In this episode Trang Lê joins me to talk about Relief and her version of Relief called STIR (STatistical Inference Relief). While traditional Relief algorithms could only rank features and needed a user-supplied threshold to decide which features to select, Trang’s reformulation of Relief allowed her to compute p-values and make the selection process less arbitrary.
Previous episodes
#25 Transposons and repeats with Kaushik Panda and Keith Slotkin
#24 Read correction and Bcool with Antoine Limasset
#23 RNA design, EteRNA and NEMO with Fernando Portela
#22 smCounter2: somatic variant calling and UMIs with Chang Xu
#21 Linear mixed models, GWAS, and lme4qtl with Andrey Ziyatdinov
#20 B cell receptor substitution profile prediction and SPURF with Kristian Davidsen and Amrit Dhar
#19 Genome fingerprints with Gustavo Glusman
#18 Bioinformatics Contest 2018 with Alexey Sergushichev and Ekaterina Vyahhi
#17 Rarefaction, alpha diversity, and statistics with Amy Willis
#16 Javier Quilez on what makes large sequencing projects successful
#15 Optimal transport for single-cell expression data with Geoffrey Schiebinger
#14 Generating functions for read mapping with Guillaume Filion
#12 Modelling the immune system and C-ImmSim with Filippo Castiglione
#11 Collective cell migration with Linus Schumacher
#10 Spatially variable genes and SpatialDE with Valentine Svensson
#9 Michael Tessler and Christopher Mason on 16S amplicon vs shotgun sequencing
#8 Perfect k-mer hashing in Sailfish
#5 Relative data analysis and propr with Thom Quinn
#4 ChIP-seq and GenoGAM with Georg Stricker and Julien Gagneur
#3 miRNA target site prediction and seedVicious with Antonio Marco