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Bio-DB-Big-v1.0.1
River stage one • 1 direct dependent • 1 total dependent
++
/ Bio::DB::Big::File

NAME

Bio::DB::Big::File - Object representing a UCSC big file

DESCRIPTION

This object encapsulates the querying and logic associcated with working with a big file. Both BigWig and BigBed are supported through the same object. When a routine is run on the wrong type of file that routine will throw an exception informing you of the error.

CLASS METHODS

These methods are all called on the package name

Bio::DB::Big::File->test_big_bed('/path/to/big.file')

Returns a boolean response if the given path (local or remote) was a BigBed or not.

Bio::DB::Big::File->test_big_wig('/path/to/big.file')

Returns a boolean response if the given path (local or remote) was a BigWig or not.

my $bw = Bio::DB::Big::File->open_big_wig('/path/to/big.bw')

Opens a BigWig from a given path (local or remote) and returns a Bio::DB::Big::File object.

my $bb = Bio::DB::Big::File->open_big_bed('/path/to/big.bb')

Opens a BigBed from a given path (local or remote) and returns a Bio::DB::Big::File object.

GENERIC METHODS

These methods are available across all big files.

$bf->type()

Returns 0 if the file is a BigWig and 1 if the file is a BigBed

$bf->is_big_wig

Returns true if the file is a BigWig

$bf->is_big_bed

Returns true if the file is a BigBed

my $header_hash = $bf->header()

Returns a hash to the big file's header. Elements available are

version - Version of the file format
nLevels - Number of zoom levels available
nBasesCovered - Number of bases covered by the file (BigWig only)
minVal - Smallest value in the file (BigWig only)
maxVal - Largest value in the file (BigWig only)
sumData - Sum of all available values (BigWig only)
sumSquared - The sum of all squared values (BigWig only)
fieldCount - Number of columns in bed version (BigBed only)
definedFieldCount - Number of columns using bed standard definitions (BigBed only)

Ensure that these are used according to the file type.

my $chroms_hash = $bf->chroms();

  my $chroms_hash = $bf->chroms();
  foreach my $chrom (keys %{$chroms_hash}) {
    my $h = $chroms_hash->{$chrom};
    printf("%s - %d", $h->{name}, $h->{length});
  }

Returns a hash of chromsoomes keyed by the chromsome name. Each value is a hash with the keys name and length.

my $length = $bf->chrom_length('chr1')

Return the length of the specified chromosome

$bf->has_chrom('chr1')

Returns a boolean if the given chromosome was found in the given big file i.e. there was data recorded for it

BIGWIG METHODS

The following methods are available only for bigwig files

my $stats_array = $bf->get_stats($chromosome, $start, $end, $bins, $type, $full);

Used to calculate statistics from a BigWig file across a range specified in 0-based, half-open coordinates. Chromosome, start and end are required paramters. Bins defaults to 1 and type defaults to mean. Consult the later documentation on the available summary statistics you can request.

  my $stats = $bf->get_stats('chr1', 0, 100, 5, "max", 0);
  foreach my $v (@{$stats}) {
    printf("%f\n", $v);
  }

The full parameter is used to force libBigWig to use the true underlying values held in the BigWig file for a small speed penalty. If this is set to false (as is done by default) then the library will use the pre-computed summary statistic zoom levels to calculate your request from. More information is available from https://github.com/dpryan79/pyBigWig#a-note-on-statistics-and-zoom-levels.

my $all_stats = $bf->get_all_stats($chromosome, $start, $end, $bins, $full);

Calculate all available statistics and returns the elements back to you in a single array reference of Hashes.

  my $stats = $bf->get_all_stats('chr1', 0, 100, 5, 0);
  foreach my $v (@{$stats}) {
    printf("mean -- %f | min -- %f | max -- %f", $v->{mean}, $v->{min}, $v->{max});
    if(exists $v->{cov}) {
      printf(" | cov -- %f", $v->{cov});
    }
    print "\n";
  }

Each hash is keyed by the following elements.

mean - mean value across the requested region
min - smallest value across the requested region
max - largest value across the requested region
cov - number of bases covered by a value across the requested region
std - standard deviation of values across the region

If a statistic was not available then the key will not be available in the hash to differentiate between those values missing and those which were set explicitly to a value e.g. telling the difference quickly between 0 and a lack of a value.

Be aware that this code currently executes a seperate stats call for each type of statistic so the runtime of this method will be 5x slower than running get_stats() on the types you want. This performance may change if libBigWig supports this kind of operation.

my $values_array = $bf->get_values($chromosome, $start, $end);

Used to retrieve the original values for each base across a range specified in 0-based, half-open coordinates. Chromosome, start and end are required paramters. The returned array will contain an element for each base in the given range. Those without a value in the underlying BigWig file will be returned as undefined. You must check for these values when iterating the list.

  my $values = $bf->get_values('chr1', 0, 100);
  foreach my $v (@{$values}) {
    if(! defined $v) {
      print "X\n";
    }
    else {
      printf("%f\n", $v);
    }
  }

my $intervals_array = $bf->get_intervals($chromosome, $start, $end);

Used to retrieve the intervals that overlap a range specified in 0-based, half-open coordinates. Chromosome, start and end are required paramters. The returned array will contain a hash for each interval with the keys start (0 based), end (half-open) and value (a double).

  my $intervals = $bf->get_intervals('chr1', 0, 100);
  foreach my $i (@{$intervals}) {
    printf("%d - %d: %f\n", $i->{start}, $i->{end}, $i->{value});
  }

my $iter = $self->get_intervals_iterator($chromosome, $start, $end);

An iterator version of the get_intervals() code allowing you to walk through an entire BigWig file of data without loading all of it into memory.

  my $iter = $bf->get_intervals_iterator('chr1', 0, 100);
  while(my $intervals = $iter->next()) {
    foreach my $i (@{$intervals}) {
      printf("%d - %d: %f\n", $i->{start}, $i->{end}, $i->{value});
    }
  }

BIGBED METHODS

my $entries_array = $bf->get_entries($chromosome, $start, $end, $use_string);

Used to retrieve the intervals that overlap a range specified in 0-based, half-open coordinates. Chromosome, start and end are required paramters. The $use_string parameter controls if the call returns just the bounds of each bed record or returns the tab seperated Bed line along with the element. If you are using bed for most things apart from overlap calls then you want to set this to true.

The returned array will contain a hash for each entry with the keys start (0 based), end (half-open) and string (a string). If strings were not requested then the string key will be absent from the hash.

  my $entries = $bf->get_entries('chr1', 0, 100, 1);
  foreach my $e (@{$entries}) {
    printf("%d - %d: %s\n", $e->{start}, $e->{end}, $e->{string});
  }

my $iter = $bf->get_entries_iterator($chromosome, $start, $end, $use_string);

Iterator version of get_entries() allowing you to walk through an entire BigBed file of entries without loading all of it into memory.

  my $iter = $bf->get_entries_iterator('chr1', 0, 100, 1);
  while(my $entries = $iter->next()) {
    foreach my $e (@{$entries}) {
      printf("%d - %d: %s\n", $e->{start}, $e->{end}, $e->{string});
    }
  }

my $autosql = $bf->get_autosql_string();

Returns the AutoSQL held alongside a BigBed file. Will return undef if no AutoSQL was used in the file.

my $autosql_obj = $bf->get_autosql();

Returns a Bio::DB::Big::AutoSQL object representing the retrieved AutoSQL string. Will return undef if there is no AutoSQL assoicated with the big file. Can throw an exception if the AutoSQL string does not correctly parse.

AVAILABLE SUMMARY TYPES

The following strings can be used when calculating statistics over a BigWig file.

mean - Calculate a mean value for each bin
std - The deviation of values within a bin
dev - See std
max - The maximum value for a bin
min - The minimum value for a bin
cov - The fraction of bases covered
coverage - See cov

LICENSE

Copyright [2015-2017] EMBL-European Bioinformatics Institute

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.