Resistify

Fixed a regression where TIR HMM profiles were incorrectly handled.
Fixed a regression where input fasta files larger than 100k sequences were rejected - should have been sequences more than 100k in length!
Adjacent domains are now collapsed prior to classification (e.g., TNNL would now be TNL rather than TN).
Sequences classified as NLRs are now reported in `nlrs.fasta` for ease-of-use.
Improved `README.md`.

What's Changed
* 0.3.0 by SwiftSeal in https://github.com/SwiftSeal/resistify/pull/13
* Motif sequences are now included in output
* `motifs.tsv`: new col Downstream_sequence, Motif_sequence, Upstream_sequence
* Better input fasta handling
* \>100k inputs restricted
* Internal stop codons now cause error
* Refactoring
* `domains.tsv`: col E-value now E_value
* domain indexes are now zero-indexed
* Debugging now available with `--debug`


**Full Changelog**: https://github.com/SwiftSeal/resistify/compare/v0.2.2...v0.3.0

What's Changed
* 0.2.2 by SwiftSeal in https://github.com/SwiftSeal/resistify/pull/9


**Full Changelog**: https://github.com/SwiftSeal/resistify/compare/v0.2.1...v0.2.2

What's Changed
* `--ultra` - a new mode has been added which retains non-NLRs for motif searching.
* Better logging (Apparently emojis are "unprofessional" 🤔)
* Bug fixes

Conda distribution might be delayed slightly due to some problems on their end!

What's changed?

* Multithreading - there is now the option of running the jackhmmer process on multiple threads, providing a large performance increase
* Sensitivity - domain annotation thresholds were adjusted as a result of internal testing
* Reporting - The results table will now report the string of motifs identified per-sequence, aiding in spot checking problematic sequences. MADA and C-JID domains are now only reported in their respective TRUE/FALSE columns