public void Build(IEnumerable<ISequence> sequences)
{
// Size of Kmer List to grab, somewhat arbitrary but want to keep list size below large object threshold, which is ~85 kb
const int blockSize = 4096;
// When to add list to blocking collection, most short reads are <=151 bp so this should avoid needing to grow the list
const int addThreshold = blockSize - 151;
// When to pause adding
const int stopAddThreshold = 2000000 / blockSize;
if (sequences == null)
throw new ArgumentNullException("sequences");
if (KmerLength > KmerData32.MAX_KMER_LENGTH)
throw new ArgumentException(Properties.Resource.KmerLengthGreaterThan31);
// A dictionary kmers to debruijin nodes
KmerDictionary kmerManager = new KmerDictionary();
// Create the producer thread.
var kmerDataCollection = new BlockingCollection<List<KmerData32>>();
Task producer = Task.Factory.StartNew(() =>
{
try
{
List<KmerData32> kmerList = new List<KmerData32>(blockSize);
IAlphabet alphabet = Alphabets.DNA;
HashSet<byte> gapSymbols;
alphabet.TryGetGapSymbols(out gapSymbols);
// Generate the kmers from the sequences
foreach (ISequence sequence in sequences)
{
// if the sequence alphabet is not of type DNA then ignore it.
bool skipSequence = false;
if (sequence.Alphabet != Alphabets.DNA)
{
skipSequence = true;
}
else
{
// if the sequence contains any gap symbols then ignore the sequence.
foreach (byte symbol in gapSymbols)
{
for (long index = 0; index < sequence.Count; ++index)
{
if (sequence[index] == symbol)
{
skipSequence = true;
break;
}
}
if (skipSequence)
break;
}
}
if (skipSequence)
{
Interlocked.Increment(ref _skippedSequencesCount);
Interlocked.Increment(ref _processedSequencesCount);
continue;
}
// if the blocking collection count is exceeding 2 million kmers wait for 2 sec
// so that the task can remove some kmers and create the nodes.
// This will avoid OutofMemoryException
while (kmerDataCollection.Count > stopAddThreshold)
{
Task.Delay(TimeSpan.FromSeconds(2)).Wait();
}
// Convert sequences to k-mers
kmerList.AddRange(KmerData32.GetKmers(sequence, KmerLength));
// Most reads are <=150 basepairs, so this should avoid having to grow the list
// by keeping it below blockSize
if (kmerList.Count > addThreshold)
{
kmerDataCollection.Add(kmerList);
kmerList = new List<KmerData32>(4092);
}
Interlocked.Increment(ref _processedSequencesCount);
}
if (kmerList.Count <= addThreshold)
kmerDataCollection.Add(kmerList);
}
finally
{
kmerDataCollection.CompleteAdding();
}
});
// Consume k-mers by addding them to binary tree structure as nodes
Parallel.ForEach(kmerDataCollection.GetConsumingEnumerable(),newKmerList=>
{
foreach (KmerData32 newKmer in newKmerList)
{
// Create Vertex
DeBruijnNode node = kmerManager.SetNewOrGetOld(newKmer);
// Need to lock node if doing this in parallel
if (node.KmerCount <= 255)
{
lock (node)
{
node.KmerCount++;
}
}
}
});
// Ensure producer exceptions are handled.
producer.Wait();
// Done filling binary tree
kmerDataCollection.Dispose();
//NOTE: To speed enumeration make the nodes into an array and dispose of the collection
_nodeCount = kmerManager.NodeCount;
_nodes = kmerManager.GenerateNodeArray();
// Generate the links
GenerateLinks(kmerManager);
// Since we no longer need to search for values set left and right nodes of child array to null
// so that they are available for GC if no longer needed
foreach (DeBruijnNode node in _nodes)
{
node.Left = node.Right = null;
}
GraphBuildCompleted = true;
}
/// <summary>
/// Build graph nodes and edges from list of k-mers.
/// Creates a node for every unique k-mer (and reverse-complement)
/// in the read. Then, generates adjacency information between nodes
/// by computing pairs of nodes that have overlapping regions
/// between node sequences.
/// </summary>
/// <param name="sequences">List of input sequences.</param>
/// <param name="destroyKmerManagerAfterwards">MT Assembler specific flag
public void Build(IEnumerable <ISequence> sequences, bool destroyKmerManagerAfterwards = true)
{
if (sequences == null)
{
throw new ArgumentNullException("sequences");
}
// Build the dictionary of kmers to debruijin nodes
var kmerManager = new KmerDictionary();
var kmerDataCollection = new BlockingCollection <List <KmerData32> >();
// Create the producer task
Task theProducer = Task.Factory.StartNew(() =>
{
Thread.BeginCriticalRegion();
try
{
int i = 0;
var kmerList = new List <KmerData32>(BlockSize);
// Generate the kmers from the sequences
foreach (ISequence sequence in sequences)
{
#if DEBUG
i++;
if (i % 50000 == 0)
{
//TODO: This is reported each 5 minutes anyway.
Console.WriteLine("Parsed: " + i.ToString() + " reads");
}
#endif
// if the sequence alphabet is not of type DNA then ignore it.
bool skipSequence = false;
if (sequence.Alphabet != Alphabets.NoGapDNA || sequence.Count < _kmerLength)
{
skipSequence = true;
#if FALSE
Console.WriteLine(sequence.Alphabet.ToString());
var qs = sequence as Sequence;
var f = new Sequence(qs);
var s = f.ConvertToString();
byte[] acceptable = new byte[] { 65, 67, 71, 84 };
var s3 = new Sequence(qs.Alphabet, f.Where(x => !acceptable.Contains(x)).ToArray());
Console.WriteLine("BAD: " + s3.ConvertToString());
Console.WriteLine(f.ConvertToString());
// var b = sequence as Sequence;
//Console.WriteLine((sequence as Sequence).ConvertToString());
#endif
}
if (skipSequence)
{
Interlocked.Increment(ref this._skippedSequencesCount);
Interlocked.Increment(ref this._processedSequencesCount);
continue;
}
// If the blocking collection count is exceeding 2 million kmers wait for 5 sec
// so that the task can remove some kmers and create the nodes.
// This will avoid OutofMemoryException
while (kmerDataCollection.Count > StopAddThreshold)
{
Thread.Sleep(2);
}
// Convert sequences to k-mers
var kmers = KmerData32.GetKmers(sequence, this.KmerLength);
kmerList.AddRange(kmers);
// Most reads are <=150 basepairs, so this should avoid having to grow the list
// by keeping it below blockSize
if (kmerList.Count > AddThreshold)
{
kmerDataCollection.Add(kmerList);
kmerList = new List <KmerData32>(BlockSize);
}
Interlocked.Increment(ref this._processedSequencesCount);
Thread.EndCriticalRegion();
}
if (kmerList.Count <= AddThreshold)
{
kmerDataCollection.Add(kmerList);
}
}
finally
{
kmerDataCollection.CompleteAdding();
}
});
if (true)// (!Bio.CrossPlatform.Environment.RunningInMono)
{
// Consume k-mers by adding them to binary tree structure as nodes
Parallel.ForEach(kmerDataCollection.GetConsumingEnumerable(),
new ParallelOptions()
{
MaxDegreeOfParallelism = Environment.ProcessorCount
}, newKmerList =>
{
foreach (KmerData32 newKmer in newKmerList)
{
// Create Vertex
DeBruijnNode node = kmerManager.SetNewOrGetOld(newKmer);
Debug.Assert(newKmer.KmerData == node.NodeValue.KmerData);
}
});
}
else
{
foreach (var newKmerList in kmerDataCollection.GetConsumingEnumerable())
{
foreach (KmerData32 newKmer in newKmerList)
{
// Create Vertex
DeBruijnNode node = kmerManager.SetNewOrGetOld(newKmer);
Debug.Assert(newKmer.KmerData == node.NodeValue.KmerData);
}
}
}
// Done filling binary tree
theProducer.Wait(); // Make sure task is finished - also rethrows any exception here.
kmerDataCollection.Dispose();
// NOTE: To speed enumeration make the nodes into an array and dispose of the collection
this._nodeCount = kmerManager.NodeCount;
this._nodes = kmerManager.GenerateNodeArray();
// Generate the links
this.GenerateLinks(kmerManager);
if (destroyKmerManagerAfterwards)
{
// Since we no longer need to search for values delete tree structure, also set left and right nodes of child array to null
// So that they are available for GC if no longer needed
kmerManager = null;
foreach (DeBruijnNode node in _nodes)
{
node.Left = null;
node.Right = null;
}
}
else
{
KmerManager = kmerManager;
}
this.GraphBuildCompleted = true;
}
public void Build(IEnumerable <ISequence> sequences)
{
// Size of Kmer List to grab, somewhat arbitrary but want to keep list size below large object threshold, which is ~85 kb
const int blockSize = 4096;
// When to add list to blocking collection, most short reads are <=151 bp so this should avoid needing to grow the list
const int addThreshold = blockSize - 151;
// When to pause adding
const int stopAddThreshold = 2000000 / blockSize;
if (sequences == null)
{
throw new ArgumentNullException("sequences");
}
if (KmerLength > KmerData32.MAX_KMER_LENGTH)
{
throw new ArgumentException(Properties.Resource.KmerLengthGreaterThan31);
}
// A dictionary kmers to debruijin nodes
KmerDictionary kmerManager = new KmerDictionary();
// Create the producer thread.
var kmerDataCollection = new BlockingCollection <List <KmerData32> >();
Task producer = Task.Factory.StartNew(() =>
{
try
{
List <KmerData32> kmerList = new List <KmerData32>(blockSize);
IAlphabet alphabet = Alphabets.DNA;
HashSet <byte> gapSymbols;
alphabet.TryGetGapSymbols(out gapSymbols);
// Generate the kmers from the sequences
foreach (ISequence sequence in sequences)
{
// if the sequence alphabet is not of type DNA then ignore it.
bool skipSequence = false;
if (sequence.Alphabet != Alphabets.DNA)
{
skipSequence = true;
}
else
{
// if the sequence contains any gap symbols then ignore the sequence.
foreach (byte symbol in gapSymbols)
{
for (long index = 0; index < sequence.Count; ++index)
{
if (sequence[index] == symbol)
{
skipSequence = true;
break;
}
}
if (skipSequence)
{
break;
}
}
}
if (skipSequence)
{
Interlocked.Increment(ref _skippedSequencesCount);
Interlocked.Increment(ref _processedSequencesCount);
continue;
}
// if the blocking collection count is exceeding 2 million kmers wait for 2 sec
// so that the task can remove some kmers and create the nodes.
// This will avoid OutofMemoryException
while (kmerDataCollection.Count > stopAddThreshold)
{
Task.Delay(TimeSpan.FromSeconds(2)).Wait();
}
// Convert sequences to k-mers
kmerList.AddRange(KmerData32.GetKmers(sequence, KmerLength));
// Most reads are <=150 basepairs, so this should avoid having to grow the list
// by keeping it below blockSize
if (kmerList.Count > addThreshold)
{
kmerDataCollection.Add(kmerList);
kmerList = new List <KmerData32>(4092);
}
Interlocked.Increment(ref _processedSequencesCount);
}
if (kmerList.Count <= addThreshold)
{
kmerDataCollection.Add(kmerList);
}
}
finally
{
kmerDataCollection.CompleteAdding();
}
});
// Consume k-mers by addding them to binary tree structure as nodes
Parallel.ForEach(kmerDataCollection.GetConsumingEnumerable(), newKmerList =>
{
foreach (KmerData32 newKmer in newKmerList)
{
// Create Vertex
DeBruijnNode node = kmerManager.SetNewOrGetOld(newKmer);
// Need to lock node if doing this in parallel
if (node.KmerCount <= 255)
{
lock (node)
{
node.KmerCount++;
}
}
}
});
// Ensure producer exceptions are handled.
producer.Wait();
// Done filling binary tree
kmerDataCollection.Dispose();
//NOTE: To speed enumeration make the nodes into an array and dispose of the collection
_nodeCount = kmerManager.NodeCount;
_nodes = kmerManager.GenerateNodeArray();
// Generate the links
GenerateLinks(kmerManager);
// Since we no longer need to search for values set left and right nodes of child array to null
// so that they are available for GC if no longer needed
foreach (DeBruijnNode node in _nodes)
{
node.Left = node.Right = null;
}
GraphBuildCompleted = true;
}