Adam学习15之Fastq在Adam中的初始存储格式AlignmentRecord

1.参考2中提高了具体的，cp过来：

{"readNum": null, "contig": null, "start": null, "oldPosition": null, "end": null, "mapq": null, "readName": "chrUn_KN707606v1_decoy_1204_1728_0:0:0_1:0:0_0", "sequence": "CTCCTCGCCA", "qual": "2222222222", "cigar": null, "oldCigar": null, "basesTrimmedFromStart": 0, "basesTrimmedFromEnd": 0, "readPaired": false, "properPair": null, "readMapped": false, "mateMapped": false, "failedVendorQualityChecks": false, "duplicateRead": false, "readNegativeStrand": null, "mateNegativeStrand": null, "primaryAlignment": null, "secondaryAlignment": null, "supplementaryAlignment": null, "mismatchingPositions": null, "origQual": null, "attributes": null, "recordGroupName": null, "recordGroupSequencingCenter": null, "recordGroupDescription": null, "recordGroupRunDateEpoch": null, "recordGroupFlowOrder": null, "recordGroupKeySequence": null, "recordGroupLibrary": null, "recordGroupPredictedMedianInsertSize": null, "recordGroupPlatform": null, "recordGroupPlatformUnit": null, "recordGroupSample": null, "mateAlignmentStart": null, "mateAlignmentEnd": null, "mateContig": null, "inferredInsertSize": null}

2.创建代码：

/**
 * @author xubo
 * FastqFormat read
 */
package org.bdgenomics.adamLocal.algorithms.test

import org.apache.spark.SparkConf
import org.apache.spark.SparkContext
import org.bdgenomics.adam.rdd.ADAMContext
import org.bdgenomics.formats.avro.AlignmentRecord

object FastqFormat {
  def main(args: Array[String]) {
    val conf = new SparkConf().setAppName("FastaAndNucleotideContigFragment").setMaster("local")
    val sc = new SparkContext(conf)
    val ac = new ADAMContext(sc)
     val builder = AlignmentRecord.newBuilder()
    val fastq=builder.build()
    println(fastq);
    sc.stop
  }
}

3.结果：

{"readNum": 0, "contig": null, "start": null, "oldPosition": null, "end": null, "mapq": null, "readName": null, "sequence": null, "qual": null, "cigar": null, "oldCigar": null, "basesTrimmedFromStart": 0, "basesTrimmedFromEnd": 0, "readPaired": false, "properPair": false, "readMapped": false, "mateMapped": false, "failedVendorQualityChecks": false, "duplicateRead": false, "readNegativeStrand": false, "mateNegativeStrand": false, "primaryAlignment": false, "secondaryAlignment": false, "supplementaryAlignment": false, "mismatchingPositions": null, "origQual": null, "attributes": null, "recordGroupName": null, "recordGroupSequencingCenter": null, "recordGroupDescription": null, "recordGroupRunDateEpoch": null, "recordGroupFlowOrder": null, "recordGroupKeySequence": null, "recordGroupLibrary": null, "recordGroupPredictedMedianInsertSize": null, "recordGroupPlatform": null, "recordGroupPlatformUnit": null, "recordGroupSample": null, "mateAlignmentStart": null, "mateAlignmentEnd": null, "mateContig": null, "inferredInsertSize": null}

参考：

【1】https://github.com/xubo245/AdamLearning

【2】http://blog.csdn.net/xubo245/article/details/51288264

【3】https://github.com/bigdatagenomics/adam