update Sage to 0.14.1

MacOS/aarch64/Sage/LICENSE

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+MIT License
+
+Copyright (c) 2022 Michael Lazear
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

MacOS/aarch64/Sage/README.md

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+<img src="figures/logo.png" width="300">
+
+# Sage: proteomics searching so fast it seems like magic
+
+[![Rust](https://github.com/lazear/sage/actions/workflows/rust.yml/badge.svg)](https://github.com/lazear/sage/actions/workflows/rust.yml) [![Anaconda-Server Badge](https://anaconda.org/bioconda/sage-proteomics/badges/version.svg)](https://anaconda.org/bioconda/sage-proteomics)
+
+
+For more information please read [the online documentation!](https://sage-docs.vercel.app/docs)
+
+
+# Introduction
+
+Sage is, at it's core, a proteomics database search engine - 
+    a tool that transforms raw mass spectra from proteomics experiments into peptide identifications 
+    via database searching & spectral matching. 
+
+However, Sage includes a variety of advanced features that make it a one-stop shop: retention time prediction, quantification (both isobaric & LFQ), peptide-spectrum match rescoring, and FDR control. You can directly use results from Sage without needing to use other tools for these tasks.
+
+Additionally, Sage was designed with cloud computing in mind - massively parallel processing and the ability to directly stream compressed mass spectrometry data to/from AWS S3 enables unprecedented search speeds with minimal cost. 
+
+ Sage also runs just as well reading local files from your Mac/PC/Linux device!
+
+## Why use Sage instead of other tools?
+
+Sage is **simple to configure**, **powerful** and **flexible**. 
+It also happens to be well-tested, **mind-boggingly fast**, open-source (MIT-licensed) and free.
+
+## Features
+
+- Incredible performance out of the box
+- [Effortlessly cross-platform](https://sage-docs.vercel.app/docs/started#download-the-latest-binary-release) (Linux/MacOS/Windows), effortlessly parallel (uses all of your CPU cores)
+- [Fragment indexing strategy](https://sage-docs.vercel.app/docs/how_it_works) allows for blazing fast narrow and open searches (> 500 Da precursor tolerance)
+- [Isobaric quantification](https://sage-docs.vercel.app/docs/how_it_works#tmt-based) (MS2/MS3-TMT, or custom reporter ions)
+- [Label-free quantification](https://sage-docs.vercel.app/docs/how_it_works#label-free): consider all charge states & isotopologues *a la* FlashLFQ
+- Capable of searching for [chimeric/co-fragmenting spectra](https://sage-docs.vercel.app/docs/configuration/additional)
+- Wide-window (dynamic precursor tolerance) search mode - [enables WWA/PRM/DIA searches](https://sage-docs.vercel.app/docs/configuration/tolerance#wide-window-mode)
+- Retention time prediction models fit to each LC/MS run
+- [PSM rescoring](https://sage-docs.vercel.app/docs/how_it_works#machine-learning-for-psm-rescoring) using built-in linear discriminant analysis (LDA)
+- PEP calculation using a non-parametric model (KDE)
+- FDR calculation using target-decoy competition and picked-peptide & picked-protein approaches
+- Percolator/Mokapot [compatible output](https://sage-docs.vercel.app/docs/configuration#env)
+- Configuration by [JSON file](https://sage-docs.vercel.app/docs/configuration#file)
+- Built-in support for reading gzipped-mzML files
+- Support for reading/writing directly from [AWS S3](https://sage-docs.vercel.app/docs/configuration/aws)
+
+
+<!-- <img src="figures/TMT_Panel.png" width="800"> -->
+
+Check out the [blog post introducing Sage](https://lazear.github.io/sage/) for more information and full benchmarks!