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Found 5 papers, 5 papers with code
MetaTrinity: Enabling Fast Metagenomic Classification via Seed Counting and Edit Distance Approximation
This dual comparison positions MetaTrinity as a broadly applicable solution for metagenomic classification, combining advantages of both ends of the spectrum: speed and accuracy.
SequenceLab: A Comprehensive Benchmark of Computational Methods for Comparing Genomic Sequences
Comparing genomic sequences is one of the most fundamental computational steps in most genomic analyses.
RawHash: Enabling Fast and Accurate Real-Time Analysis of Raw Nanopore Signals for Large Genomes
RawHash achieves an accurate hash-based similarity search via an effective quantization of the raw signals such that signals corresponding to the same DNA content have the same quantized value and, subsequently, the same hash value.
ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis
We identify an urgent need for a flexible, high-performance, and energy-efficient HW/SW co-design to address the major inefficiencies in the Baum-Welch algorithm for pHMMs.
Going From Molecules to Genomic Variations to Scientific Discovery: Intelligent Algorithms and Architectures for Intelligent Genome Analysis
We hope that these efforts and the challenges we discuss provide a foundation for future work in making genome analysis more intelligent.
