What is a sequence index file?

We describe our sequence meta data in sequence index files. The index for data from the 1000 Genomes Project can be found in the 1000 Genomes data collection directory. Additional indices are present for data in other data collections. Our old index files which describe the data used in the main project can be found in the historical_data directory

Sequence index files are tab delimited files and frequently contain these columns:

Column Title Description
1 FASTQ_FILE path to fastq file on ftp site or ENA ftp site
2 MD5 md5sum of file
3 RUN_ID SRA/ERA run accession
4 STUDY_ID SRA/ERA study accession
5 STUDY_NAME Name of study
6 CENTER_NAME Submission centre name
7 SUBMISSION_ID SRA/ERA submission accession
8 SUBMISSION_DATE Date sequence submitted, YYYY-MM-DD
9 SAMPLE_ID SRA/ERA sample accession
10 SAMPLE_NAME Sample name
11 POPULATION Sample population, this is a 3 letter code as defined in
12 EXPERIMENT_ID Experiment accession
13 INSTRUMENT_PLATFORM Type of sequencing machine
14 INSTRUMENT_MODEL Model of sequencing machine
15 LIBRARY_NAME Library name
16 RUN_NAME Name of machine run
17 RUN_BLOCK_NAME Name of machine run sector (This is no longer recorded so this column is entirely null, it was left in so as not to disrupt existing sequence index parsers)
18 INSERT_SIZE Submitter specified insert size
19 LIBRARY_LAYOUT Library layout, this can be either PAIRED or SINGLE
20 PAIRED_FASTQ Name of mate pair file if exists (Runs with failed mates will have a library layout of PAIRED but no paired fastq file)
21 WITHDRAWN 0/1 to indicate if the file has been withdrawn, only present if a file has been withdrawn
22 WITHDRAWN_DATE This is generally the date the file is generated on
23 COMMENT comment about reason for withdrawal
24 READ_COUNT read count for the file
25 BASE_COUNT basepair count for the file
26 ANALYSIS_GROUP the analysis group of the sequence, this reflects sequencing strategy. For 1000 Genomes Project data, this includes low coverage, high coverage, exon targeted and exome to reflect the two non low coverage pilot sequencing strategies and the two main project sequencing strategies used by the 1000 Genomes Project.

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