bioinformatics chat

The bioinformatics chat is a podcast about computational biology, bioinformatics, and next generation sequencing.

The bioinformatics chat is produced by Roman Cheplyaka and hosted by Roman and Jacob Schreiber.

Don't miss the next episode! Subscribe on Apple Podcasts, Google Podcasts, Spotify, or via the RSS feed link. You can also follow the podcast on Twitter and Mastodon.

Enformer: predicting gene expression from sequence with Žiga Avsec (#64)

November 9, 2021

In this episode, Jacob Schreiber interviews Žiga Avsec about a recently released model, Enformer. Their discussion begins with life differences between academia and industry, specifically about how research is conducted in the two settings. Then, they discuss the Enformer model, how it builds on previous work, and the potential that models like it have for genomics research in the future. Finally, they have a high-level discussion on the state of modern deep learning libraries and which ones they use in their day-to-day developing.

Bioinformatics Contest 2021 with Maksym Kovalchuk and James Matthew Holt (#63)

September 27, 2021

The Bioinformatics Contest is back this year, and we are back to discuss it!

This year’s contest winners Maksym Kovalchuk (1st prize) and Matt Holt (2nd prize) talk about how they approach participating in the contest and what strategies have earned them the top scores.

Steady states of metabolic networks and Dingo with Apostolos Chalkis (#62)

July 28, 2021

In this episode, Apostolos Chalkis presents sampling steady states of metabolic networks as an alternative to the widely used flux balance analysis (FBA). We also discuss dingo, a Python package written by Apostolos that employs geometric random walks to sample steady states. You can see dingo in action here.

Previous episodes

3D genome organization and GRiNCH with Da-Inn Erika Lee (#61)

Differential gene expression and DESeq2 with Michael Love (#60)

Proteomics calibration with Lindsay Pino (#59)

B cell maturation and class switching with Hamish King (#58)

Enhancers with Molly Gasperini (#57)

Polygenic risk scores in admixed populations with Bárbara Bitarello (#56)

Phylogenetics and the likelihood gradient with Xiang Ji (#55)

Seeding methods for read alignment with Markus Schmidt (#54)

Real-time quantitative proteomics with Devin Schweppe (#53)

How 23andMe finds identical-by-descent segments with William Freyman (#52)

Basset and Basenji with David Kelley (#51)

ENCODE3 with Jill Moore (#50)

Most Permissive Boolean Networks with Loïc Paulevé (#49)

Machine learning for drug development with Marinka Zitnik (#48)

Reproducible pipelines and NGLess with Luis Pedro Coelho (#47)

HiFi reads and HiCanu with Sergey Nurk and Sergey Koren (#46)

Genome assembly and Canu with Sergey Koren and Sergey Nurk (#45)

DNA tagging and Porcupine with Kathryn Doroschak (#44)

Generalized PCA for single-cell data with William Townes (#43)

Spectrum-preserving string sets and simplitigs with Amatur Rahman and Karel Břinda (#42)

Epidemic models with Kris Parag (#41)

Plasmid classification and binning with Sergio Arredondo-Alonso and Anita Schürch (#40)

Amplicon sequence variants and bias with Benjamin Callahan (#39)

Issues in legacy genomes with Luke Anderson-Trocmé (#38)

Causality and potential outcomes with Irineo Cabreros (#37)

scVI with Romain Lopez and Gabriel Misrachi (#36)

The role of the DNA shape in transcription factor binding with Hassan Samee (#35)

Power laws and T-cell receptors with Kristina Grigaityte (#34)

Genome assembly from long reads and Flye with Mikhail Kolmogorov (#33)

Deep tensor factorization and a pitfall for machine learning methods with Jacob Schreiber (#32)

Bioinformatics Contest 2019 with Alexey Sergushichev and Gennady Korotkevich (#31)

Bayesian inference of chromatin structure from Hi-C data with Simeon Carstens (#30)

Haplotype-aware genotyping from long reads with Trevor Pesout (#29)

Space-efficient variable-order Markov models with Fabio Cunial (#28)

Classification of CRISPR-induced mutations and CRISPRpic with HoJoon Lee and Seung Woo Cho (#27)

Feature selection, Relief and STIR with Trang Lê (#26)

Transposons and repeats with Kaushik Panda and Keith Slotkin (#25)

Read correction and Bcool with Antoine Limasset (#24)

RNA design, EteRNA and NEMO with Fernando Portela (#23)

smCounter2: somatic variant calling and UMIs with Chang Xu (#22)

Linear mixed models, GWAS, and lme4qtl with Andrey Ziyatdinov (#21)

B cell receptor substitution profile prediction and SPURF with Kristian Davidsen and Amrit Dhar (#20)

Genome fingerprints with Gustavo Glusman (#19)

Bioinformatics Contest 2018 with Alexey Sergushichev and Ekaterina Vyahhi (#18)

Rarefaction, alpha diversity, and statistics with Amy Willis (#17)

Javier Quilez on what makes large sequencing projects successful (#16)

Optimal transport for single-cell expression data with Geoffrey Schiebinger (#15)

Generating functions for read mapping with Guillaume Filion (#14)

Bracken with Jennifer Lu (#13)

Modelling the immune system and C-ImmSim with Filippo Castiglione (#12)

Collective cell migration with Linus Schumacher (#11)

Spatially variable genes and SpatialDE with Valentine Svensson (#10)

Michael Tessler and Christopher Mason on 16S amplicon vs shotgun sequencing (#9)

Perfect k-mer hashing in Sailfish (#8)

Metagenomics and Kraken (#7)

Allele-specific expression (#6)

Relative data analysis and propr with Thom Quinn (#5)

ChIP-seq and GenoGAM with Georg Stricker and Julien Gagneur (#4)

miRNA target site prediction and seedVicious with Antonio Marco (#3)

Single-cell RNA sequencing with Aleksandra Kolodziejczyk (#2)

Transcriptome assembly and Scallop with Mingfu Shao (#1)