Sep 30, 2020 · Our algorithm incorporates the unique bias in amino acid sequence substitution in searches without altering the basic sparse matrix model, and ...
Abstract—Identifying similar protein sequences is a core step in many computational biology pipelines such as detection of homologous protein sequences ...
Our algorithm incorporates the unique bias in amino acid sequence substitution in search without altering basic sparse matrix model, and in turn, achieves ideal ...
Our algorithm incorporates the unique bias in amino acid sequence substitution in search without altering basic sparse matrix model, and in turn, achieves ideal ...
Sep 30, 2020 · This work presents a new distributed-memory software PASTIS, which incorporates the unique bias in amino acid sequence substitution in ...
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PASTIS: Distributed Many-to-Many Protein Sequence Alignment Using Sparse Matrices · Prerequisites · Dependencies · Build and Test PASTIS · Run PASTIS · GPU support.
Input sequence partitioning in PASTIS creation and... Distributed Many-to-Many Protein Sequence Alignment using Sparse Matrices. Preprint. Full-text available.
Distributed many-to-many protein sequence alignment using sparse matrices ... Distributed-Memory Parallel Algorithms for Sparse Times Tall-Skinny-Dense Matrix ...
Mar 3, 2023 · using a hybrid CPU-GPU approach. O. Selvitopi et al[17]. PASTIS. Distributed many-to-many protein sequence alignment using sparse matrices.
PASTIS [17] is a sparse-matrix-based distributed protein clustering framework that utilizes local sequence alignment for computing similarity scores and ...