feat: infer additional statistics from read lengths

[balajtimate]

Description

• Rewrite get_library_stats.py to infer mean, median and mode from the sample read length
• Add additional adapter fragment sequence
• Refactor htsinfer.py so the results print to STDOUT is now sorted in order of inference (instead of alphabetical)
• Update logging messages and README.md
• Downgrade Kallisto version as it was causing issues with CI

Fixes #132

Type of change

• [X] New feature (non-breaking change which adds functionality)

Checklist

• [X] I have performed a self-review of my own code
• [X] My code follows the existing coding style, lints and generates no new warnings
• [X] I have added type annotations to all function/method signatures, and I have added type annotations for any local variables that are non-trivial, potentially ambiguous or might otherwise benefit from explicit typing.
• [X] I have commented my code in hard-to-understand areas
• [X] I have added ["Google-style docstrings"] to all new modules, classes, methods/functions or updated previously existing ones
• [X] I have added tests that prove my fix is effective or that my feature works
• [X] New and existing unit tests pass locally with my changes and I have not reduced the code coverage relative to the previous state
• [X] I have updated any sections of the app's documentation that are affected by the proposed changes

[codecov[bot]]

Codecov Report

Patch coverage: 100.00% and no project coverage change.

Comparison is base (d6d892c) 99.80% compared to head (6774063) 99.80%.

Additional details and impacted files

```diff @@ Coverage Diff @@ ## dev #133 +/- ## ======================================= Coverage 99.80% 99.80% ======================================= Files 12 12 Lines 1024 1039 +15 ======================================= + Hits 1022 1037 +15 Misses 2 2 ``` | [Files Changed](https://app.codecov.io/gh/zavolanlab/htsinfer/pull/133?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=zavolanlab) | Coverage Δ | | |---|---|---| | [htsinfer/htsinfer.py](https://app.codecov.io/gh/zavolanlab/htsinfer/pull/133?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=zavolanlab#diff-aHRzaW5mZXIvaHRzaW5mZXIucHk=) | `100.00% <ø> (ø)` | | | [htsinfer/get\_library\_stats.py](https://app.codecov.io/gh/zavolanlab/htsinfer/pull/133?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=zavolanlab#diff-aHRzaW5mZXIvZ2V0X2xpYnJhcnlfc3RhdHMucHk=) | `100.00% <100.00%> (ø)` | | | [htsinfer/models.py](https://app.codecov.io/gh/zavolanlab/htsinfer/pull/133?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=zavolanlab#diff-aHRzaW5mZXIvbW9kZWxzLnB5) | `100.00% <100.00%> (ø)` | |

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