An Efficient, Scalable and Exact Representation of High-Dimensional Color Information Enabled Via de Bruijn Graph Search -- Identifying Clinical Terms in Free-Text Notes Using Ontology-Guided Machine Learning -- ModHMM: A Modular Supra-Bayesian Genome Segmentation Method -- Learning Robust Multi-Label Sample Specific Distances for Identifying HIV-1 Drug Resistance -- MethCP: Differentially Methylated Region Detection with Change Point Models -- On the Complexity of Sequence to Graph Alignment -- Minimization-Aware Recursive K* (MARK*): A Novel, Provable Algorithm that Accelerates Ensemble-based Protein Design and Provably Approximates the Energy Landscape -- Sparse Binary Relation Representations for Genome Graph Annotation -- How Many Subpopulations is Too Many? Exponential Lower Bounds for Inferring Population Histories -- Efficient Construction of a Complete Index for Pan-Genomics Read Alignment -- Tumor Copy Number Deconvolution Integrating Bulk and Single-Cell Sequencing Data -- OMGS: Optical Map-based Genome Scaffolding -- Fast Approximation of Frequent k-mers and Applications to Metagenomics -- De Novo Clustering of Long-Read Transcriptome Data Using a Greedy, Quality-Value Based Algorithm -- A Sticky Multinomial Mixture Model of Strand-Coordinated Mutational Processes in Cancer -- Disentangled Representations of Cellular Identity -- RENET: A Deep Learning Approach for Extracting Gene-Disease Associations from Literature -- APPLES: Fast Distance Based Phylogenetic Placement -- De Novo Peptide Sequencing Reveals a Vast Cyclopeptidome in Human Gut and Other environments -- Biological Sequence Modeling with Convolutional Kernel Networks -- Dynamic Pseudo-Time Warping of Complex Single-Cell Trajectories -- netNMF-sc: A Network Regularization Algorithm for Dimensionality Reduction and Imputation of Single-Cell Expression Data -- Geometric Sketching of Single-Cell Data Preserves Transcriptional Structure -- Sketching Algorithms for Genomic Data Analysis and Querying in a Secure Enclave -- Mitigating Data Scarcity in Protein Binding Prediction Using Meta-Learning -- Efficient Estimation and Applications of Cross-Validated Genetic Predictions -- Inferring Tumor Evolution from Longitudinal Samples -- Scalable Multi-Component Linear Mixed Models with Application to SNP Heritability Estimation -- A Note on Computing Interval Overlap Statistics -- Distinguishing Biological from Technical Sources of Variation by Leveraging Multiple Methylation Datasets -- GRep: Gene Set Representation via Gaussian Embedding -- Accurate Sub-Population Detection and Mapping Across Single Cell Experiments with PopCorn -- Fast Estimation of Genetic Correlation for Biobank-Scale Data -- Distance-Based Protein Folding Powered by Deep Learning -- Comparing 3D Genome Organization in Multiple Species Using Phylo-HMRF -- Towards a Post-Clustering Test for Didderential Expression -- AdaFDR: a Fast, Powerful and Covariate-Adaptive Approach for Multiple Hypothesis Testing.