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- #!/bin/sh -e
- INPUT="$1"
- OUTPUT="$2"
- THREADS=""
- if [ -n "$3" ]; then
- THREADS="--threads $3"
- fi
- MPI="$4"
- #command -v "$(echo "$MPI" | cut -d " " -f1)" >/dev/null 2>&1
- #if [ "$?" -eq "1" ]; then
- # echo "MPI will not be used"
- # unset MPI
- #fi
- if [ "$#" -lt 2 ]; then
- echo "createdb.sh input output [threads] '[mpirun --mpi-params]'"
- echo "Create HH-suite datebase from MMseqs2 input"
- echo "Example:"
- echo " conda create -n hhdb mmseqs2 famsa hhsuite"
- echo " conda activate hhdb"
- echo " mmseqs createdb input.fas input"
- echo " mmseqs cluster input clu tmp"
- echo " mmseqs createseqfiledb input clu seqfiledb"
- echo " createdb.sh seqfiledb hhdatabase"
- exit 1
- fi
- > "make_msa.sh" cat <<EOF
- #!/bin/sh -e
- famsa -t 1 STDIN STDOUT | hhconsensus -maxres 65535 -i stdin -o stdout -v 0 2> /dev/null
- EOF
- chmod +x make_msa.sh
- echo "calculate alignments"
- $MPI mmseqs apply "${INPUT}" "${OUTPUT}_a3m" $THREADS -- "./make_msa.sh" 2> /dev/null
- rm -f "make_msa.sh"
- echo "calculate hidden markov models of large MSAs"
- $MPI mmseqs apply "${OUTPUT}_a3m" "${OUTPUT}_hhm_sizes" $THREADS -- awk '/^>/{cnt++;} cnt>51 {print "1"; exit }'
- awk 'FNR==NR && $3 > 1 {f[$1]=1; next} $1 in f {print}' "${OUTPUT}_hhm_sizes.index" "${OUTPUT}_a3m.index" > "${OUTPUT}_a3m_large.index"
- ln -fs "${OUTPUT}_a3m" "${OUTPUT}_a3m_large"
- $MPI mmseqs apply "${OUTPUT}_a3m_large" "${OUTPUT}_hhm" $THREADS -- hhmake -i stdin -o stdout -v 0
- rm -f "${OUTPUT}_a3m_large" "${OUTPUT}_a3m_large.index" "${OUTPUT}_hhm_sizes.ffindex"
- echo "calculate context states"
- ln -fs "${OUTPUT}_a3m" "${OUTPUT}_a3m.ffdata"
- ln -fs "${OUTPUT}_a3m.index" "${OUTPUT}_a3m.ffindex"
- if [ "$MPI" = "" ]; then
- cstranslate -x 0.3 -c 4 --ffindex -I a3m -i "${OUTPUT}_a3m" -o "${OUTPUT}_cs219" > /dev/null
- else
- $MPI cstranslate_mpi -x 0.3 -c 4 -I a3m -i "${OUTPUT}_a3m" -o "${OUTPUT}_cs219" 2> /dev/null
- fi
- ln -f "${OUTPUT}_cs219.ffdata" "${OUTPUT}_cs219"
- ln -f "${OUTPUT}_cs219.ffindex" "${OUTPUT}_cs219.index"
- echo "reorder databases for faster access"
- sort -k 3 -n "${OUTPUT}_cs219.index" | cut -f1 > "${OUTPUT}_sorted.tsv"
- for type in a3m hhm; do
- mmseqs createsubdb "${OUTPUT}_sorted.tsv" "${OUTPUT}_${type}" "${OUTPUT}_${type}_opt" -v 0
- mv -f "${OUTPUT}_${type}_opt" "${OUTPUT}_${type}.ffdata"
- LC_ALL=C sort -k1,1 "${OUTPUT}_${type}_opt.index" > "${OUTPUT}_${type}.ffindex"
- rm -f "${OUTPUT}_${type}_opt.index"
- done
- rm -f "${OUTPUT}_sorted.tsv"
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