Compression MIME addition and checksum identification expanded

[yashpatel6]

Description

Adding:

• application/gzip as an additional MIME type for GZIP compressed files
• separation of checksum file by whitespace to account for different separators (ex. tabs)

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Test Results

All tests still pass

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Checklist

File Commits

• This PR does NOT contain Protected Health Information (PHI). A repo may need to be deleted if such data is uploaded.
  Disclosing PHI is a major problem¹ - Even a small leak can be costly².

• This PR does NOT contain germline genetic data³, RNA-Seq, DNA methylation, microbiome or other molecular data⁴.

• This PR does NOT contain other non-plain text files, such as: compressed files, images (e.g. .png, .jpeg), .pdf, .RData, .xlsx, .doc, .ppt, or other output files.

  To automatically exclude such files using a .gitignore file, see here for example.

Code Review Best Practices

• I have read the code review guidelines and the code review best practice on GitHub check-list.

• I have set up or verified the main branch protection rule following the github standards before opening this pull request.

• The name of the branch is meaningful and well formatted following the standards, using [AD_username (or 5 letters of AD if AD is too long)]-[brief_description_of_branch].

• I have added the major changes included in this pull request to the CHANGELOG.md under the next release version or unreleased, and updated the date.

Testing

• I have added unit tests for the new feature(s).

• I modified the integration test(s) to include the new feature.

• All new and previously existing tests passed locally and/or on the cluster.

• The docker image built successfully on the cluster.

Footnotes

1. UCLA Health reaches $7.5m settlement over 2015 breach of 4.5m patient records ↩

2. The average healthcare data breach costs $2.2 million, despite the majority of breaches releasing fewer than 500 records. ↩

3. Genetic information is considered PHI.
   Forensic assays can identify patients with as few as 21 SNPs ↩

4. RNA-Seq, DNA methylation, microbiome, or other molecular data can be used to predict genotypes (PHI) and reveal a patient's identity. ↩

[nwiltsie]

Looks good!