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Add Eagle2 #51851

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Nov 4, 2024
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23 changes: 23 additions & 0 deletions recipes/eagle2/build.sh
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#!/bin/bash
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set -euo pipefail

echo "Building Eagle2 version ${PKG_VERSION}"

make \
-e -j ${CPU_COUNT} \
DYN_LIBS="-lz -lpthread -lbz2 -lblas" \
CXX="$CXX -std=c++11" \
CXXFLAG="$CXXFLAGS" \
LDFLAG="$LDFLAGS" \
PREFIX="${PREFIX}" \
HTSLIB_INC="$PREFIX" \
HTSLIB_LIB="-lhts" \
BOOST_INC="$PREFIX/include"\
BOOST_LIB_IO="-lboost_iostreams" \
BOOST_LIB_PO="-lboost_program_options" \
BOOST_LIB_SE="-lboost_serialization" || exit 1

echo "Installing Eagle2..."
mkdir -p "${PREFIX}/bin"
install -m 755 bin/eagle "${PREFIX}/bin/"
echo "Eagle2 installation completed successfully"
5 changes: 5 additions & 0 deletions recipes/eagle2/conda_build_config.yaml
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# current version does not build with newer compilers
cxx_compiler_version:
- 11 # [osx]
c_compiler_version:
- 11 # [osx]
45 changes: 45 additions & 0 deletions recipes/eagle2/meta.yaml
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{% set version = "2.4.1" %}

package:
name: eagle2
version: {{ version }}

build:
number: 0

source:
url: https://github.com/poruloh/Eagle/archive/refs/tags/v{{ version }}.tar.gz
sha256: 85804bfe972186ccb66e602856d6e04044302e5c0dbf9309849b0cde981e3432

requirements:
build:
- make
- {{ compiler('c') }}
- {{ compiler('cxx') }}
host:
- htslib >=1.9
- bzip2
- zlib
- boost-cpp >=1.58
- blas >=0.2.19
run:
- {{ pin_compatible('htslib') }}
- {{ pin_compatible('bzip2') }}
- {{ pin_compatible('boost-cpp') }}
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test:
commands:
- eagle --help

about:
home: https://github.com/poruloh/Eagle
license: GPLv3
summary: The Eagle software estimates haplotype phase either within a genotyped cohort or using a phased reference panel.
description:
Eagle2 is now the default phasing method used by the Sanger and Michigan imputation servers and uses a new
very fast HMM-based algorithm that improves speed and accuracy over existing methods via two key ideas;
a new data structure based on the positional Burrows-Wheeler transform and a rapid search algorithm that
explores only the most relevant paths through the HMM. Compared to the Eagle1 algorithm, Eagle2 has similar
speed but much greater accuracy at sample sizes <50,000; as such, we have made the Eagle2 algorithm the default option.
(The Eagle1 algorithm can be accessed via the --v1 flag.) Eagle v2.3+ supports phasing sequence data with or without
a reference and also supports phasing chrX.
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