Pinned Repositories
django-material
Material Design for Django
empanada
hazeldoopdbg
Build and compress de bruijn graphs on a cluster using hadoop and hazelcast
hiccup
A zeromq style high-performance concurrency and communication package using GASNet
hiper3ga
Distributed direct assembler for long-reads
LSU-ETD-Latex-Template
Latex template for formatting electronic theses and dissertations at LSU in accordance with the revised guidelines published on April 2019
minimap2
A versatile pairwise aligner for genomic and spliced nucleotide sequences
pybind11_cuda_array_interface
pybind11 headers supporting the __cuda_array_interface__
RawHash
RawHash is the first mechanism that can accurately and efficiently map raw nanopore signals to large reference genomes (e.g., a human reference genome) in real-time without using powerful computational resources (e.g., GPUs). Described by Firtina et al. (published at https://academic.oup.com/bioinformatics/article/39/Supplement_1/i297/7210440)
ReadBouncer
Fast and scalable nanopore adaptive sampling
sayangoswami's Repositories
sayangoswami/django-material
Material Design for Django
sayangoswami/empanada
sayangoswami/hazeldoopdbg
Build and compress de bruijn graphs on a cluster using hadoop and hazelcast
sayangoswami/hiccup
A zeromq style high-performance concurrency and communication package using GASNet
sayangoswami/hiper3ga
Distributed direct assembler for long-reads
sayangoswami/LSU-ETD-Latex-Template
Latex template for formatting electronic theses and dissertations at LSU in accordance with the revised guidelines published on April 2019
sayangoswami/minimap2
A versatile pairwise aligner for genomic and spliced nucleotide sequences
sayangoswami/pybind11_cuda_array_interface
pybind11 headers supporting the __cuda_array_interface__
sayangoswami/RawHash
RawHash is the first mechanism that can accurately and efficiently map raw nanopore signals to large reference genomes (e.g., a human reference genome) in real-time without using powerful computational resources (e.g., GPUs). Described by Firtina et al. (published at https://academic.oup.com/bioinformatics/article/39/Supplement_1/i297/7210440)
sayangoswami/ReadBouncer
Fast and scalable nanopore adaptive sampling
sayangoswami/readfish
CLI tool for flexible and fast adaptive sampling on ONT sequencers
sayangoswami/sayangoswami.github.io
sayangoswami/sigmap
A streaming method for mapping nanopore raw signals
sayangoswami/sigmoni
Nanopore signal-based classification using compressed indexing and matching statistics
sayangoswami/spumoni
Pan-Genomic Matching Statistics
sayangoswami/starter-hugo-academic
sayangoswami/UNCALLED
Raw nanopore signal mapper that enables real-time targeted sequencing