com.google.cloud.genomics.dataflow.functions.AlleleSimilarityCalculator Maven / Gradle / Ivy

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/*
 * Copyright (C) 2014 Google Inc.
 * 
 * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
 * in compliance with the License. You may obtain a copy of the License at
 * 
 * http://www.apache.org/licenses/LICENSE-2.0
 * 
 * Unless required by applicable law or agreed to in writing, software distributed under the License
 * is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */
package com.google.cloud.genomics.dataflow.functions;

import java.util.HashMap;
import java.util.Map;

import com.google.cloud.dataflow.sdk.transforms.DoFn;
import com.google.cloud.dataflow.sdk.values.KV;
import com.google.cloud.genomics.dataflow.utils.CallFilters;
import com.google.cloud.genomics.dataflow.utils.PairGenerator;
import com.google.cloud.genomics.utils.grpc.VariantUtils;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.Maps;
import com.google.genomics.v1.Variant;
import com.google.genomics.v1.VariantCall;

/**
 * For each pair of calls on any of the given variants, computes a score, a number between 0 and 1
 * (inclusive), which represents the degree of the similarity of the two calls. Then, it emits the
 * sum and number of the computed scores for each pair of call set names across all the given
 * variants.
 */
public class AlleleSimilarityCalculator extends
    DoFn, KV>> {

  private CallSimilarityCalculatorFactory callSimilarityCalculatorFactory;

  // HashMap, 
  private HashMap, KV> accumulator;
  // TODO consider using guava MultiSet instead

  public AlleleSimilarityCalculator(CallSimilarityCalculatorFactory callSimilarityCalculatorFactory) {
    this.callSimilarityCalculatorFactory = callSimilarityCalculatorFactory;
  }

  @Override
  public void startBundle(Context c) {
    accumulator = Maps.newHashMap();
  }

  @Override
  public void processElement(ProcessContext context) {
    Variant variant = context.element();
    CallSimilarityCalculator callSimilarityCalculator =
        callSimilarityCalculatorFactory.get(isReferenceMajor(variant));
    for (KV pair : PairGenerator.WITHOUT_REPLACEMENT.allPairs(
        getSamplesWithVariant(variant), VariantUtils.CALL_COMPARATOR)) {
      accumulateCallSimilarity(callSimilarityCalculator, pair.getKey(), pair.getValue());
    }
  }

  private void accumulateCallSimilarity(CallSimilarityCalculator callSimilarityCalculator,
      VariantCall call1, VariantCall call2) {
    KV callPair = KV.of(call1.getCallSetName(), call2.getCallSetName());
    KV callPairAccumulation = accumulator.get(callPair);
    if (callPairAccumulation == null) {
      callPairAccumulation = KV.of(0.0, 0);
      accumulator.put(callPair, callPairAccumulation);
    }
    accumulator.put(callPair, KV.of(
        callPairAccumulation.getKey() + callSimilarityCalculator.similarity(call1, call2),
        callPairAccumulation.getValue() + 1));
  }

  @Override
  public void finishBundle(Context context) {
    output(context, accumulator);
  }

  static ImmutableList getSamplesWithVariant(Variant variant) {
    return CallFilters.getSamplesWithVariantOfMinGenotype(variant, 0);
  }

  static boolean isReferenceMajor(Variant variant) {
    int referenceAlleles = 0;
    int alternateAlleles = 0;
    for (VariantCall call : variant.getCallsList()) {
      for (Integer i : call.getGenotypeList()) {
        if (i == 0) {
          ++referenceAlleles;
        } else if (i > 0) {
          ++alternateAlleles;
        }
      }
    }
    return referenceAlleles >= alternateAlleles;
  }

  static  void output(DoFn>.Context context, Map map) {
    for (Map.Entry entry : map.entrySet()) {
      context.output(KV.of(entry.getKey(), entry.getValue()));
    }
  }

}