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High throughput sequencing of RNA (RNA-Seq) can provide us with millions of short fragments of RNA transcripts from a sample. How to better recover the original RNA transcripts from those fragments (RNA-Seq assembly) is still a difficult…

Genomics · Quantitative Biology 2019-02-15 Shunfu Mao , Yihan Jiang , Edwin Basil Mathew , Sreeram Kannan

Nucleus decompositions have been shown to be a useful tool for finding dense subgraphs. The coreness value of a clique represents its density based on the number of other cliques it is adjacent to. One useful output of nucleus decomposition…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-23 Jessica Shi , Laxman Dhulipala , Julian Shun

SweepFinder is a popular program that implements a powerful likelihood-based method for detecting recent positive selection, or selective sweeps. Here, we present SweepFinder2, an extension of SweepFinder with increased sensitivity and…

Populations and Evolution · Quantitative Biology 2015-05-28 Michael DeGiorgio , Christian D. Huber , Melissa J. Hubisz , Ines Hellmann , Rasmus Nielsen

GCsnap2 Cluster is a scalable, high performance tool for genomic context analysis, developed to overcome the limitations of its predecessor, GCsnap1 Desktop. Leveraging distributed computing with mpi4py[.]futures, GCsnap2 Cluster achieved a…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-26 Reto Krummenacher , Osman Seckin Simsek , Michèle Leemann , Leila T. Alexander , Torsten Schwede , Florina M. Ciorba , Joana Pereira

We present first experimental results on the novel BrainScaleS-2 neuromorphic architecture based on an analog neuro-synaptic core and augmented by embedded microprocessors for complex plasticity and experiment control. The high acceleration…

Increasing size of sequence databases caused by the development of high throughput sequencing, poses multiple alignment algorithms to face one of the greatest challenges yet. As we show, well-established techniques employed for increasing…

Quantitative Methods · Quantitative Biology 2018-05-28 Adam Gudys , Sebastian Deorowicz

De novo genome assembly, i.e., rebuilding the sequence of an unknown genome from redundant and erroneous short sequences, is a key but computationally intensive step in many genomics pipelines. The exponential growth of genomic data is…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-12 Giulia Guidi , Gabriel Raulet , Daniel Rokhsar , Leonid Oliker , Katherine Yelick , Aydin Buluc

Comparing strains within the same microbial species has proven effective in the identification of genes and genomic regions responsible for virulence, as well as in the diagnosis and treatment of infectious diseases. In this paper, we…

Quantitative Methods · Quantitative Biology 2013-07-31 Ilya Minkin , Anand Patel , Mikhail Kolmogorov , Nikolay Vyahhi , Son Pham

Advances in genome sequencing technologies generate massive amounts of sequence data that are increasingly analyzed and shared through public repositories. On-demand infrastructure services on cloud computing platforms enable the processing…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-20 Junseok Park , Eduardo A. Maury , Changhoon Oh , Donghoon Shin , Danielle Denisko , Eunjung Alice Lee

Predicting the consensus structure of a set of aligned RNA homologs is a convenient method to find conserved structures in an RNA genome, which has many applications including viral diagnostics and therapeutics. However, the most commonly…

Biomolecules · Quantitative Biology 2024-07-08 Apoorv Malik , Liang Zhang , Milan Gautam , Ning Dai , Sizhen Li , He Zhang , David H. Mathews , Liang Huang

This paper presents verification and implementation methods that have been developed for the design of the BrainScaleS-2 65nm ASICs. The 2nd generation BrainScaleS chips are mixed-signal devices with tight coupling between full-custom…

Hardware Architecture · Computer Science 2020-03-26 Andreas Grübl , Sebastian Billaudelle , Benjamin Cramer , Vitali Karasenko , Johannes Schemmel

The large volumes of sequencing data required to sample complex environments deeply pose new challenges to sequence analysis approaches. De novo metagenomic assembly effectively reduces the total amount of data to be analyzed but requires…

Haplotype-resolved de novo assembly is the ultimate solution to the study of sequence variations in a genome. However, existing algorithms either collapse heterozygous alleles into one consensus copy or fail to cleanly separate the…

Genomics · Quantitative Biology 2021-02-03 Haoyu Cheng , Gregory T Concepcion , Xiaowen Feng , Haowen Zhang , Heng Li

Hierarchical clustering remains a fundamental challenge in data mining, particularly when dealing with large-scale datasets where traditional approaches fail to scale effectively. Recent Chameleon-based algorithms - Chameleon2, M-Chameleon,…

Machine Learning · Computer Science 2025-10-07 Priyanshu Singh , Kapil Ahuja

Automating radiology report generation can significantly reduce the workload of radiologists and enhance the accuracy, consistency, and efficiency of clinical documentation.We propose a novel cross-modal framework that uses MedCLIP as both…

Computer Vision and Pattern Recognition · Computer Science 2024-12-11 Qianhao Han , Junyi Liu , Zengchang Qin , Zheng Zheng

Concurrent multiscale finite element analysis (FE2) is a powerful approach for high-fidelity modeling of materials for which a suitable macroscopic constitutive model is not available. However, the extreme computational effort associated…

Numerical Analysis · Mathematics 2020-07-16 I. B. C. M. Rocha , P. Kerfriden , F. P. van der Meer

Recent advances in DNA sequencing open prospects to make whole-genome analysis rapid and reliable, which is promising for various applications including personalized medicine. However, existing techniques for {\it de novo} genome assembly,…

The high-throughput short-reads RNA-seq protocols often produce paired-end reads, with the middle portion of the fragments being unsequenced. We explore if the full-length fragments can be computationally reconstructed from the sequenced…

Genomics · Quantitative Biology 2023-10-06 Xiang Li , Mingfu Shao

We present a parallel algorithm and scalable implementation for genome analysis, specifically the problem of finding overlaps and alignments for data from "third generation" long read sequencers. While long sequences of DNA offer enormous…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-29 Marquita Ellis , Giulia Guidi , Aydın Buluç , Leonid Oliker , Katherine Yelick

Background: Haplotypes, the ordered lists of single nucleotide variations that distinguish chromosomal sequences from their homologous pairs, may reveal an individual's susceptibility to hereditary and complex diseases and affect how our…

Social and Information Networks · Computer Science 2019-11-28 Abishek Sankararaman , Haris Vikalo , François Baccelli