[ 原始碼: mhap ]
套件:mhap(2.1.3+dfsg-3)
locality-sensitive hashing to detect long-read overlaps
The MinHash Alignment Process (MHAP--pronounced MAP) is a reference implementation of a probabilistic sequence overlapping algorithm. Designed to efficiently detect all overlaps between noisy long-read sequence data. It efficiently estimates Jaccard similarity by compressing sequences to their representative fingerprints composed on min-mers (minimum k-mer).
其他與 mhap 有關的套件
|
|
|
|
-
- dep: default-jre-headless
- Standard Java or Java compatible Runtime (headless)
-
- dep: jaligner
- Smith-Waterman algorithm with Gotoh's improvement
-
- dep: jarwrapper
- Run executable Java .jar files
-
- dep: libcommons-compress-java
- Java API for working with compression and archive formats
-
- dep: libfastutil-java
- Java API providing type-specific maps, sets, lists and queues
-
- dep: libguava-java (>= 19)
- Suite of Google common libraries for Java
-
- dep: libssw-java
- Java bindings for libssw