Provided by: tabix_1.9-10_amd64 bug


       tabix - Generic indexer for TAB-delimited genome position files


       tabix  [-0lf]  [-p  gff|bed|sam|vcf] [-s seqCol] [-b begCol] [-e endCol] [-S lineSkip] [-c
       metaChar] [region1 [region2 [...]]]


       Tabix indexes a TAB-delimited genome position file and creates  an  index  file
       (  or when region is absent from the command-line. The input
       data file must be position sorted and  compressed  by  bgzip  which  has  a  gzip(1)  like

       After indexing, tabix is able to quickly retrieve data lines overlapping regions specified
       in the format "chr:beginPos-endPos".  (Coordinates specified in  this  region  format  are
       1-based and inclusive.)

       Fast  data  retrieval  also  works over network if URI is given as a file name and in this
       case the index file will be downloaded if it is not present locally.


       -0, --zero-based
                 Specify that the position in the data file is 0-based (e.g. UCSC  files)  rather
                 than 1-based.

       -b, --begin INT
                 Column of start chromosomal position. [4]

       -c, --comment CHAR
                 Skip lines started with character CHAR. [#]

       -C, --csi Produce CSI format index instead of classical tabix or BAI style indices.

       -e, --end INT
                 Column  of end chromosomal position. The end column can be the same as the start
                 column. [5]

       -f, --force
                 Force to overwrite the index file if it is present.

       -m, --min-shift INT
                 set minimal interval size for CSI indices to 2^INT [14]

       -p, --preset STR
                 Input format for indexing. Valid values are: gff, bed, sam,  vcf.   This  option
                 should not be applied together with any of -s, -b, -e, -c and -0; it is not used
                 for data retrieval because this setting is stored in the index file. [gff]

       -s, --sequence INT
                 Column of sequence name. Option -s, -b, -e, -S, -c and -0 are all stored in  the
                 index file and thus not used in data retrieval. [1]

       -S, --skip-lines INT
                 Skip first INT lines in the data file. [0]


       -h, --print-header
              Print also the header/meta lines.

       -H, --only-header
              Print only the header/meta lines.

       -l, --list-chroms
              List the sequence names stored in the index file.

       -r, --reheader FILE
              Replace the header with the content of FILE

       -R, --regions FILE
              Restrict  to  regions  listed in the FILE. The FILE can be BED file (requires .bed,
              .bed.gz, .bed.bgz file name extension) or a TAB-delimited  file  with  CHROM,  POS,
              and,   optionally, POS_TO columns, where positions are 1-based and inclusive.  When
              this option is in use, the input file may not be sorted.

       -T, --targets FILE
              Similar to -R but the entire input will be read sequentially and regions not listed
              in FILE will be skipped.


       (grep ^"#" in.gff; grep -v ^"#" in.gff | sort -k1,1 -k4,4n) | bgzip > sorted.gff.gz;

       tabix -p gff sorted.gff.gz;

       tabix sorted.gff.gz chr1:10,000,000-20,000,000;


       It  is straightforward to achieve overlap queries using the standard B-tree index (with or
       without binning) implemented in all SQL databases, or the R-tree index in  PostgreSQL  and
       Oracle.  But there are still many reasons to use tabix. Firstly, tabix directly works with
       a lot of widely used TAB-delimited formats such as GFF/GTF and BED.  We  do  not  need  to
       design database schema or specialized binary formats. Data do not need to be duplicated in
       different formats, either. Secondly, tabix works on compressed data files while  most  SQL
       databases do not. The GenCode annotation GTF can be compressed down to 4%.  Thirdly, tabix
       is fast. The same indexing algorithm is known to work efficiently for an alignment with  a
       few  billion  short reads. SQL databases probably cannot easily handle data at this scale.
       Last but not the least, tabix supports remote data retrieval. One can put  the  data  file
       and  the index at an FTP or HTTP server, and other users or even web services will be able
       to get a slice without downloading the entire file.


       Tabix was written by Heng Li. The BGZF library was originally implemented by Bob Handsaker
       and modified by Heng Li for remote file access and in-memory caching.


       bgzip(1), samtools(1)