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Adding support for K-mer size larger than 32.
# squeakr Squeakr: An Exact and Approximate k -mer Counting System Overview -------- Squeakr is a k-mer-counting and multiset-representation system using the recently-introduced counting quotient filter (CQF) Pandey et al. (2017), a feature-rich approximate membership query (AMQ) data structure. Squeakr is memory-efficient, consuming 1.5X–4.3X less memory than the state-of-the-art. It offers competitive counting performance, and answers queries about a particular k-mer over an order-of- magnitude faster than other systems. The Squeakr representation of the k-mer multiset turns out to be immediately useful for downstream processing (e.g., De Bruijn graph traversal) because it supports fast queries and dynamic k-mer insertion, deletion, and modification. API -------- * 'main': count k-mers in a read dataset * 'query': query k-mers in the Squeakr representation * 'inner-prod': compute inner products of two Squeakr representations Build ------- Library dependencies (given version or higher): - libboost-dev 126.96.36.199ubuntu1 - libssl-dev 1.0.2g-1ubuntu4.6 - zlib1g-dev 1:1.2.8.dfsg-2ubuntu4 - bzip2 1.0.6-8 Squeakr currently only supports fastq files. If any other file formats are passed as input then it will throw a segmentation fault. The CQF code uses two new instructions to implement select on machine words introduced in intel's Haswell line of CPUs. However, there is also an alternate implementation of select on machine words to work on CPUs older than Haswell. To build on an older hardware (older than Haswell) use "NH=1" as a make argument. ```bash $ make main $ ./main 0 20 1 test.fastq ``` Following are the argumenrs to main: - file format: 0 - plain fastq, 1 - gzip compressed fastq, 2 - bzip2 compressed fastq - CQF size: the log of the number of slots in the CQF - num of threads: number of threads to count - file(s): "filename" or "dirname/*" for all the files in a directory The main program creates a files with the extension ".ser" which is the k-mer representation. ```bash $ make query $ ./kmer_query test.fastq.ser 10000 0 ``` Following are the argumenrs to query: - file: dataset Squeakr representation - num of queries: number of queries - random: 0 - query for existing k-mers, 1 - query for random k-mers ```bash $ make inner-prod $ ./kmer_inner_prod file1 file2 ``` Following are the argumenrs to inner-prod: - file1: dataset 1 Squeakr representation - file2: dataset 2 Squeakr representation Contributing ------------ Contributions via GitHub pull requests are welcome. Authors ------- - Prashant Pandey <firstname.lastname@example.org> - Rob Patro <email@example.com> - Rob Johnson <firstname.lastname@example.org>