Methods | The ABACBS Virtual Conference

genozip: an advanced universal compressor for genomic data files

Divon Lan
genozip is a new universal lossless compressor for...

#data compression #methods #DNA sequencing

ampir: an R package for fast genome-wide prediction of antimicrobial peptides

Legana Fingerhut, Ira Cooke, Jan Strugnell, David Miller, Norelle Daly
Antimicrobial peptides are natural antibiotics, pa...

#machine learning #sequence analysis #antimicrobial peptides

Session Talk

Transfer learning for data integration of single-cell RNA-seq and ATAC-seq

Yingxin Lin, Tung-Yu Wu, Sheng Wan, Jean Yang, Wing H. Wong, Y. X. Rachel Wang
Single-cell transcriptomics profiling with single-...

#single cell #machine learning

Systematic Benchmark of aDNA Mapping Bias

Adrien Oliva, Raymond Tobler, Bastien Llamas, Alan Cooper, Yassine Souilmi
Recent advances in molecular techniques, as well a...

#ancient DNA #sequence alignment #benchmarking

Secondary analysis of publicly available omics data across almost 3 million publications

Nicholas Darci-Maher, Serghei Mangul, Kerui Peng, Dat Duong, Eleazar Eskin, Jaqueline Brito, Anushka Rajesh, Andrew Smith, Reid F. Thompson, Abhinav Nellore, Casey Greene, Jonathan Jacobs
As today’s high throughput sequencing techniques...

#reproducibility #data sharing #DNA sequencing

Optimising genomic approaches for detection of vancomycin resistant Enterococcus faecium transmission in the hospital environment

Charlie Higgs, Claire Gorrie, Norelle Sherry, Ben Howden
Objectives:

Vancomycin-resistant Enteroco...

#genomics #epidemiology #resistance #disease

Invited Keynote

Navigating through ‘omics data: a multivariate perspective

Kim-Anh Lê Cao
Technological improvements have allowed for the co...

#statistics #data integration #biomarkers

Machine Learning in Dynamic Microscopy

Khelina Fedorchuk, Damien Hicks, Sarah Russel, Kajal Zibaei
The tracking of individual, proliferating cells ov...

#deep learning #microscopy #image analysis #machine learning #immunology

Session Talk

Long short-term memory RNN for mirtron identification

Ke Ding, Jiayu Wen
MicroRNAs are small regulatory RNAs mediate extens...

#transcriptomics #deep learning #machine learning #non-coding RNA #methods

Session Talk

Learning Distance-Dependent Motif Interactions: An Interpretable CNN Model of Genomic Events

Thomas Quinn, Dang Nguyen, Phuoc Nguyen, Sunil Gupta, Svetha Venkatesh
In most biological studies, prediction is used pri...

#deep learning #RNA splicing #machine learning #model interpretation

Session Talk

Integrating multi-modal single-cell studies with a latent component-based approach

Al J Abadi, Kim-Anh Lêcao
Single-cell multi-modal sequencing offers unpreced...

#single cell #statistics

Session Talk

Image-based Predictive Modelling for the Characterisation of Cellular Senescence

Ebony Watson, Atefeh Taherian Fard, Farhad Soheilmoghaddam, Ernst Eolvetang, Jessica Mar
Senescence is a cellular stress response character...

#machine learning #single cell #image analysis #senescence #ageing

Session Talk

How does gene expression entropy change along developmental trajectories?

Elisabeth Roesch, Anissa Guillemin, Michael P.H. Stumpf, Megan Anne Coomer
The differentiation of stem or progenitor cells is...

#single cell #transcriptomics #gene expression #gene regulation #development

Session Talk

The ABACBS Virtual Conference 2020

/Methods

genozip: an advanced universal compressor for genomic data files

ampir: an R package for fast genome-wide prediction of antimicrobial peptides

Transfer learning for data integration of single-cell RNA-seq and ATAC-seq

Systematic Benchmark of aDNA Mapping Bias

Secondary analysis of publicly available omics data across almost 3 million publications

Optimising genomic approaches for detection of vancomycin resistant Enterococcus faecium transmission in the hospital environment

Navigating through ‘omics data: a multivariate perspective

Machine Learning in Dynamic Microscopy

Long short-term memory RNN for mirtron identification

Learning Distance-Dependent Motif Interactions: An Interpretable CNN Model of Genomic Events

Integrating multi-modal single-cell studies with a latent component-based approach

Image-based Predictive Modelling for the Characterisation of Cellular Senescence

How does gene expression entropy change along developmental trajectories?

Exploring Neural Network models for CNV detection from Exome Data

Evaluation of recombination detection methods for viral sequence analysis

Developing a computational analysis to identify differentially allelic expressed loci in patient-derived stem cells

Best practices for bioinformatics command-line software with Bionitio