# screen vs. tmux: Which Terminal Multiplexer Is Better? screen and tmux are both terminal multiplexers, programs that keep shell sessions alive on a server after your SSH connection drops, and the practical difference between them is that tmux gives you a more modern and scriptable interface while screen is simpler, older, and present on nearly every system already. The rule of thumb for bioinformatics is straightforward: if you control the server or use a modern cluster, learn tmux first because you will outgrow screen within a few months. If you are logging into a shared institutional server where tmux is not installed and you have no permission to install software, use screen, because a working multiplexer you are allowed to run beats an ideal one you are not. This article covers the screen vs. tmux question specifically for bioinformatics work, where sessions routinely need to survive overnight alignment jobs, multi-hour variant calling, transfers of tens of gigabytes, and long Monte Carlo or molecular dynamics runs. The comparison is grounded in the actual Linux commands you will type, the differences that decide real choices, and worked scenarios drawn from the kinds of pipelines that practicing bioinformaticians run every day. ## Why Terminal Multiplexers Matter in Linux for Bioinformatics A modern bioinformatics analysis is rarely a single command. Consider a published diagnostic workflow that sequenced 72 pediatric patients with two independent pipelines, genome sequencing at roughly 30 times mean depth and [exome sequencing](/blog/guides/exome-sequencing) from dried blood spots, then assessed report-level diagnostic yield, discordant findings, and secondary findings across both workflows [1]. That kind of paired comparison means keeping two parallel analysis tracks open at once, each with its own QC steps, log files, and long-running jobs. Similarly, a biomarker study on acute myocardial ischemia downloaded five GEO datasets, divided them into control and case groups, ran weighted gene co-expression network analysis, LASSO regression, and ROC analysis, then verified candidate markers by quantitative PCR in a mouse model [2]. Each of those steps is a separate terminal session at minimum. A diagnostic model study for primary Sjögren syndrome went further, combining [transcriptomics](/knowledge/bioinformatics/modern-transcriptomics-bulk-single-cell-spatial), methylation data, WGCNA, four variable-selection methods, and eight machine learning classifiers before predicting drug targets [3]. Work at that scale generates many simultaneous terminals: one for data download, one for quality control, one for model training, one for monitoring disk usage, and one for writing the manuscript. Without a multiplexer, a dropped SSH connection from a laptop on hotel Wi-Fi kills every one of those sessions mid-command. A terminal multiplexer solves this by running your shells inside a persistent server process on the remote machine. Your SSH connection becomes a disposable viewer attached to that process. Close your laptop, lose the network, fly across the country, and when you reconnect, your sessions, panes, and running commands are exactly where you left them. This single property is the main reason multiplexers are near-universal in Linux for bioinformatics. ## What a Terminal Multiplexer Actually Does A terminal multiplexer does three things, and it helps to keep them separate in your head. First, it detaches your work from your connection. The multiplexer runs as a server process under your user account on the remote host. Every shell you create inside it keeps running regardless of whether anyone is watching. When you reconnect, you reattach to the same session and find your job output still scrolling past. Second, it multiplies one physical terminal into many virtual ones. Inside a single SSH window you can have a dozen named windows (like browser tabs) and split each window into panes (like tiled panes in a text editor). This matters enormously for bioinformatics, where you constantly want a log file in one pane, a running process in another, and a shell for quick checks in a third. Third, it standardizes your environment across machines. Because the multiplexer manages windows and panes itself, your layout and keystrokes work identically on your department server, an HPC login node, and a cloud instance, as long as the multiplexer is installed. Two related but distinct tools are often confused with multiplexers. `nohup` and `&` run a single command in the background but give you no interactive recovery of that shell, no scrollback, and no panes. Batch schedulers such as Slurm queue work for cluster compute nodes but are a different layer, and you will still live in a multiplexer while you prepare, submit, and monitor those jobs. The multiplexer is the workspace, not the scheduler. ## screen Explained GNU screen is the older of the two tools, dating to 1987. Its design philosophy is economy: a small, stable program with a modest feature set. That age cuts both ways. screen is installed almost everywhere, including legacy servers, older HPC images, and minimal container environments, and its behavior has been stable for decades. On the other hand, development is infrequent, the default configuration feels dated, and several operations that tmux handles smoothly require awkward keystroke sequences in screen. Core screen commands for daily bioinformatics use: - `screen -S rnaseq` starts a new session named rnaseq. - `Ctrl-a d` detaches the current session, leaving everything running. - `screen -ls` lists your sessions on the host. - `screen -r rnaseq` reattaches to a named session. - `screen -x` attaches to a session that someone else (or you, in another window) already has open, which is how screen handles shared viewing. - `Ctrl-a c` creates a new window, `Ctrl-a n` and `Ctrl-a p` move between windows, and `Ctrl-a " "` (Ctrl-a followed by a double quote) shows a window list. - `Ctrl-a |` splits vertically and `Ctrl-a S` splits horizontally, `Ctrl-a Tab` moves focus between regions, and `Ctrl-a X` removes the current region. - `Ctrl-a [` enters copy mode, where you can scroll with arrow keys or vi-style keys, press `space` to start a selection, and press `space` again to copy. Type `?` in copy mode to search backward. - `Ctrl-a H` toggles logging of the current window to a file, which is a crude but useful way to capture a long run's output. - `Ctrl-a A` renames the current window. Configuration lives in `~/.screenrc`. A sensible minimal start for bioinformatics work sets a larger scrollback buffer with `defscrollback 100000` and turns on a caption line with `caption always`. The main ergonomic friction points in screen are scrollback and copy-paste. Copy mode works but feels stiff, selections do not integrate with the system clipboard in any modern way, and searching requires mode switches that take weeks of muscle memory to stop resenting. ## tmux Explained tmux was written in 2007 for OpenBSD and has since become the de facto standard multiplexer among developers and computational scientists. It retains the same core model, sessions containing windows containing panes, but rebuilds the interface around a consistent prefix key (Ctrl-b by default), a live customizable status bar, and a well-documented command interface that can be driven programmatically. Core tmux commands for daily bioinformatics use: - `tmux new -s rnaseq` starts a new session named rnaseq. - `Ctrl-b d` detaches. - `tmux ls` lists sessions. - `tmux attach -t rnaseq` reattaches. - `Ctrl-b c` creates a window, `Ctrl-b n` and `Ctrl-b p` cycle windows, and `Ctrl-b w` opens an interactive session and window chooser. - `Ctrl-b %` splits vertically and `Ctrl-b "` splits horizontally, `Ctrl-b arrow key` moves between panes, `Ctrl-b z` zooms the current pane to full window and back, and `Ctrl-b x` kills the current pane. Adding `set -g mouse on` to your config enables mouse-driven pane selection, resizing, and scrolling. - `Ctrl-b [` enters copy mode, where arrow or vi keys scroll, `/` searches forward, `?` searches backward, and selections paste into tmux's own paste buffer, which can be bridged to the system clipboard. - `tmux send-keys -t rnaseq 'bwa mem -t 8 ref.fa reads.fq > aln.sam' Enter` types a command into a session and runs it, entirely from a script. - `tmux new-session -d -s download` creates a session without attaching, so a script can set up an entire workspace invisibly. - `Ctrl-b :` opens the tmux command prompt, where you can run any tmux command interactively. Configuration lives in `~/.tmux.conf`. A common bioinformatics starter sets a large history with `set -g history-limit 100000`, enables the mouse, and lengthens the status bar. The status bar itself can display host name, load average, session name, and time, which is genuinely useful when you have five sessions across three servers and need to know at a glance which one you are typing into. The difference between screen and tmux is clearest in this scripting layer. tmux's object model (sessions, windows, panes, each addressable by name) and its `send-keys`, `capture-pane`, and `run-shell` commands make it a genuine automation tool, not just an interactive one. ## screen vs. tmux, Side by Side The table below is the core of the screen vs. tmux decision. Read the last column first if you are skimming, because it maps each difference onto bioinformatics reality. | Feature | screen | tmux | What it means for bioinformatics | |, - |, - |, - |, - | | Availability | Preinstalled on almost every Linux distribution and legacy server | Often not installed on locked-down institutional servers | On a department server you cannot modify, screen may be your only option | | Development activity | Infrequent, maintenance-oriented releases | Active development under the OpenBSD project | tmux gains features and fixes, screen stays frozen | | Default prefix key | Ctrl-a (conflicts with shell line editing) | Ctrl-b (conflicts less with shell habits) | tmux's default binds fewer muscle-memory battles | | Splits and panes | Works, but region handling is clumsy | First-class panes with mouse support, zoom, and easy resizing | Monitoring a pipeline next to its log file is much smoother in tmux | | Scrollback and search | Functional copy mode, dated interface | Comfortable copy mode, in-buffer search, clipboard integration possible | Digging through a 10,000-line BLAST or bcftools output is easier in tmux | | Status bar | Minimal hardstatus line by default | Rich, configurable status bar showing session, host, load, time | Useful when juggling sessions on several servers | | Scripting | Limited (`stuff` command, awkward quoting) | Strong object model, `send-keys`, `new-session -d`, `pipe-pane` | You can script entire workspace setup for a reproducible pipeline | | Shared sessions | `screen -x` works out of the box between users on the same account | Straightforward for same-user, requires care across users | Screen's simplest sharing is genuinely convenient for quick co-piloting | | Logging | Built-in window logging with Ctrl-a H | Via `pipe-pane` or shell redirection | Both work, tmux's approach composes better with scripts | | Config file | `~/.screenrc`, small surface | `~/.tmux.conf`, large surface | tmux rewards configuration, screen rewards acceptance of defaults | | License | GNU GPL | ISC (permissive) | Rarely decisive, occasionally relevant for specialized images | ## The Differences That Actually Decide the Choice ![Decision path asking whether tmux is installed, whether you can install software, and whether you need scripted workspaces, ending in tmux or screen.](/article-images/illustrations/screen-vs-tmux-bioinformatics-multiplexer-choice.webp) ### Session Handling and Reattachment Both tools detach and reattach reliably, and for the single most common bioinformatics need, surviving a dropped SSH connection, both are equally adequate. The divergence appears when sessions multiply. tmux's `Ctrl-b w` chooser and rich `tmux ls` output make managing eight sessions across a download, an alignment, and a model-training job easy to navigate. screen's window list works but communicates less, and screen sessions cannot be meaningfully nested or grouped. If your workflow regularly involves three or more parallel sessions, tmux's session management pays for the learning curve. ### Scrolling, Search, and Copy-Paste This is the difference you will feel every day. Bioinformatics output is verbose: a single `vcfstats` summary, a WGCNA module report, or a docking log can be thousands of lines, and published pipelines that interleave network analysis, LASSO regression, and ROC validation produce long, interleaved output streams [2]. In tmux, you enter copy mode with Ctrl-b [, search with `/`, and the status bar shows you the search position. In screen, the same task involves copy mode, less feedback, and a selection model that predates the modern clipboard era. Neither tool natively bridges to your laptop's clipboard over SSH without extra setup, but tmux's paste buffer and the community tooling around it (including OSC 52 escape-sequence support in modern terminal emulators) make the round trip to a local editor far less painful. ### Splitting the Terminal A typical interactive bioinformatics moment: a multi-step machine learning comparison is running in one pane, classifier AUC values are accumulating in a second pane, and you want a shell open to check disk usage [3]. In tmux this is three keypresses plus optional mouse support. In screen it works, but resizing regions, swapping focus, and closing panes feel like archaeology. If you currently open three separate SSH windows side by side on your laptop, tmux replaces that habit entirely and works when your laptop has only one terminal window available. ### Scripting and Automation For reproducible pipelines, this is tmux's decisive advantage. You can write a small shell script that creates a named session per pipeline stage, issues commands with `send-keys`, and logs panes with `pipe-pane`, so anyone on the team can reproduce the exact interactive environment. This matters for the category of work where many independent tools chain together, such as a published depression and influenza study that combined Mendelian randomization, differential expression across GEO datasets, PPI network analysis, enrichment analysis, immune infiltration, [single-cell RNA sequencing](/knowledge/bioinformatics/single-cell-rna-sequencing-from-bulk-to-resolution), virtual knockout simulation, [molecular docking](/knowledge/bioinformatics/docking-algorithms-autodock-glide-and-beyond), and molecular dynamics before any wet-lab validation [4]. No single terminal holds that workflow, but a scripted tmux workspace can hold its steering wheel. screen can be scripted in a limited fashion, but the quoting and session addressing are brittle enough that most people stop trying. ### Sharing Sessions Screen's `screen -x` deserves genuine credit: two people on the same server account can attach to one session and see the same screen instantly, which makes it a fast tool for pair-debugging a failing pipeline step with a colleague. tmux supports the same pattern for the same user, and cross-user sharing in tmux requires a socket-permission dance that most administrators discourage anyway. For quick co-piloting on a shared teaching account, screen's out-of-the-box behavior is simpler. ### Status Bar and Customization tmux's status bar is a real dashboard. Screen's default display tells you little. If you bounce between a cluster login node, a transfer server, and a cloud instance, tmux's at-a-glance host name and session label prevent the classic mistake of launching a 24-core job on the wrong machine. This is also where tmux's config culture shines, because community dotfiles give you a working, attractive setup in five minutes. ### Maintenance and Availability screen ships everywhere because it is old, small, and packaged in every distribution since the era of dial-up. tmux usually needs one installation step (`apt install tmux` or `conda install -c conda-forge tmux`), and on servers you cannot install software, that one step may be impossible. Check this before you commit to a preference: run `which screen tmux` on your actual server. The availability answer frequently decides the screen or tmux question before any feature comparison does. ## When to Use Screen The case for screen is concrete and narrow, and it is worth stating plainly rather than burying in the comparison. Use screen when tmux is not installed on a server you cannot modify. Locked-down institutional servers, shared imaging workstations, and old HPC images are common in academic settings, and screen's universal availability makes it the multiplexer of last resort, which on such servers means the multiplexer of only resort. Use screen when you want the smallest possible thing to learn. screen has fewer concepts, and a beginner can detach, reattach, and split windows within ten minutes. For a rotation student or a collaborator who needs exactly one long job to survive a connection drop and nothing more, teaching screen may be faster than teaching tmux. Use screen when quick same-account session sharing is the task. `screen -x` is a one-keystroke shared view that tmux does not quite match in simplicity. Use screen when you work on legacy systems where tmux's newer terminal handling might misbehave. This is increasingly rare but still appears with very old terminal servers and unusual hardware consoles. The honest framing: when to use screen is mostly a question of constraints rather than preferences. screen is a competent tool whose feature set stopped growing, and for the core job of persistent sessions it remains fully sufficient. ## When to Use tmux Use tmux whenever you have a choice, for these reasons. Use tmux when your analysis involves several parallel tracks. The published pattern of running genome sequencing and exome sequencing workflows in parallel on the same cohort, then reconciling report-level outcomes and discordant findings between them [1], maps directly onto named tmux sessions: one session per workflow, one window per pipeline stage, one pane per log. tmux's session naming and chooser make that structure navigable months later. Use tmux when reproducibility matters. A script that rebuilds your workspace with `new-session -d` and `send-keys` becomes part of your methods, the same way a pipeline version does. For studies that assemble many heterogeneous analyses, such as a food-science peptidomics workflow that combined LC-MS/MS identification, database screening, toxicity and allergenicity prediction, physicochemical profiling, and AutoDock Vina docking in one study [5], the ability to script and re-enter the working environment is a real quality control, not a luxury. Use tmux when you scroll, search, and copy constantly. Copy mode with in-buffer search, mouse support, zoomable panes, and clipboard bridging make tmux categorically better for reading long outputs. Use tmux on HPC clusters with modern software stacks. Most contemporary clusters offer tmux through environment modules or conda, and its stability with modern terminal emulators is better. Use tmux if you already know it from software development. The keystrokes transfer, and the bioinformatics layer sits on top of skills you already have. ## Worked Scenarios from Real Bioinformatics Workflows The scenarios below are composites of the workflow shapes visible in the recent literature, chosen because each stresses a different multiplexer capability. ### Scenario 1: Overnight Alignment on a Shared Server You are mapping RNA-seq reads on a departmental server over SSH from a laptop. The alignment will run for six hours. You start a screen session named `align`, launch the alignment, detach with Ctrl-a d, and close the laptop. On the train, your connection drops and nothing happens to the job. At home you type `screen -ls`, see `align`, reattach, and watch the tail of the log. This is the minimal, universal use case, and either tool handles it identically. If this is genuinely all you do, screen's simplicity is an advantage and the screen vs. tmux question is nearly moot for you. ### Scenario 2: Multi-Dataset Download, Network Analysis, and Machine Learning A biomarker-style project requires downloading five GEO datasets, harmonizing them into case and control groups, running WGCNA, then LASSO and ROC analysis, then qPCR validation support [2]. A related design adds methylation data, four feature-selection methods, and eight classifiers [3]. Here the workflow itself argues for tmux. You create one session per stage: `download` for the GEO retrieval, `qc` for sample checks, `wgcna` for the network analysis, `ml` for model training. Inside each session, windows hold the R console, the log, and a monitoring shell. A setup script named `setup_project.sh` recreates the entire layout with `tmux new-session -d -s download` and a series of `send-keys` calls, so when the analysis is revisited for revision, the workspace is rebuilt rather than remembered. Attempting this in screen is possible but every pane operation is slower, and there is no comfortable scripted rebuild. ### Scenario 3: Screening, Docking, and Simulation Campaigns A peptide-screening project identifies candidate compounds by LC-MS/MS, filters them through prediction databases, and runs AutoDock Vina docking on selected candidates [5]. A host-pathogen project chains Mendelian randomization, differential expression, enrichment, single-cell analysis, docking, and [molecular dynamics simulations](/knowledge/bioinformatics/molecular-dynamics-simulations-of-proteins-and-force-fields) [4]. Simulation and docking campaigns are the canonical long-running interactive-adjacent jobs: hundreds of independent docking poses, each minutes to hours, and simulation trajectories that run for days. tmux's strengths compound here. One pane watches the docking queue script, another tails a trajectory log, a third runs an interactive Python session inspecting intermediate results, and the whole layout persists across the multi-day campaign. Screen can hold the same panes, but the daily friction of navigating them is the tax you pay. ### Scenario 4: Simulation Studies and Statistical Work A methods-oriented project develops a Monte Carlo simulation comparing correction strategies across four threshold levels and multiple surrogate concentrations [6]. Monte Carlo work is often embarrassingly parallel: you launch many independent replicate batches, each writing its own log. A tmux session with one window per batch, or one pane per batch in a tiled layout, gives you a live wall of progress bars that survives disconnection. Screen handles the identical topology, and if parallel batches are managed by a shell script or GNU parallel anyway, the multiplexer's role reduces to supervising the supervisor, which again is within screen's comfort zone. ### Scenario 5: Collaborative Debugging on a Teaching Server A course or collaboration runs on a shared account. A student reports that a variant-calling step produces empty VCFs. You attach to their session with `screen -x`, watch them type, and point at the missing reference index. Screen's shared attach is the simplest tool for this exact interaction, and it is a legitimate reason to prefer screen on shared teaching infrastructure. On a server where tmux is standard, the same pattern works with a shared tmux session, but cross-user tmux sharing requires socket and permission configuration that shared teaching accounts often simplify away, which is why screen persists in teaching labs. ### Scenario 6: Interpretable Pipeline Comparisons A comparative immunology study combines differential expression screening, PPI network construction, enrichment analysis, ROC assessment, immune infiltration estimation with CIBERSORT and related methods, and regulatory network construction [7]. The recurring pattern across these scenarios is that each analytical stage is a distinct process producing distinct logs, and the multiplexer's job is to let a human supervise all of them from one connection. Both tools do this. tmux does it with less friction per pane operation, and across a career those keystrokes add up to real time. ## Integrating Multiplexers with the Rest of Linux for Bioinformatics A multiplexer is one layer in the stack, and it helps to know where its responsibilities end. Under the multiplexer sit the shell and the job itself. Long compute belongs in scripts you can rerun, not in interactive panes you must babysit. A sound pattern is to write each pipeline stage as a script, launch it inside a multiplexer pane, and have the script write to a log file, so that even if the session dies (for example, if an administrator reboots the host, which kills multiplexer sessions along with everything else), the log and the script survive. Above the multiplexer sits the scheduler. On clusters running Slurm or an equivalent, interactive multiplexer sessions belong on the login node for lightweight work, and heavy compute belongs in `sbatch` submissions to compute nodes. Multiplexer sessions on a login node do not make a job immune to policy limits or node reboots, and killing a login node's processes is a routine administrative action. The multiplexer protects you from your own dropped connection, not from the administrator. Beside the multiplexer sit version control and containers. None of these tools substitute for the others. A [reproducible bioinformatics](/blog/guides/reproducible-bioinformatics-files-environments-parameters-and-provenance) project typically has its scripts in git, its environment in conda or a container, its heavy jobs in a scheduler or in multiplexer panes depending on scale, and its interactive supervision in screen or tmux. One practical note on learning Linux commands for bioinformatics: the multiplexer is among the first tools worth learning, alongside `ssh`, `rsync`, and shell redirection, because everything else you learn compounds inside it. A student who learns tmux in week one runs every subsequent lesson inside persistent sessions and never loses work to a dropped connection again. ## Using screen and tmux Together They coexist without conflict, with one caveat. You can run tmux on one server and screen on another, and many bioinformaticians do exactly that, matching the tool to each server's availability. Running one multiplexer inside the other on the same host also works, but the prefix keys collide: Ctrl-a inside tmux is intercepted by tmux first unless you rebind it, and Ctrl-b inside screen has the mirror-image problem. If you must nest, rebind the inner multiplexer's prefix to a rarely used combination. Most people who try nesting conclude that it adds confusion without adding capability, and simply use whichever tool the host offers. Migration is unremarkable. A screen user learning tmux finds the concept map nearly one-to-one (session, window, pane, detach, reattach), and the main relearning is the prefix key and the copy mode. Budget an afternoon of deliberate use and the switch is done. ## Common Mistakes and Limitations These are the errors that cause real lost time, listed so you can avoid them once instead of discovering them one by one. - Running long jobs on a login node inside a multiplexer and assuming the scheduler rules do not apply. Administrators terminate runaway login-node processes, and a persistent session does not make a policy violation acceptable. - Killing a session instead of detaching. `exit` or Ctrl-d inside the last shell of a session ends that session, killing anything still running in it. Detach is Ctrl-a d in screen and Ctrl-b d in tmux. This single distinction causes the most lost work among beginners. - Confusing a multiplexer with a scheduler. Neither tool checkpoints or resumes a running process. If a host reboots, everything in every session dies. For jobs that must survive reboots, use the cluster's job scheduler or a job-level checkpointing mechanism, not the multiplexer. - Assuming your sessions are private. On a shared account, other users of that account can list and attach to your sessions. Do not leave credentials, tokens, or unpublished patient-level data visible in a pane on a shared machine, a concern that is acute in clinical genomics work where reported findings include secondary findings and variant-level detail [1]. - Ignoring scrollback limits. The default scrollback buffer in tmux is small enough that a day of verbose logging overflows it. Set `history-limit` high in `~/.tmux.conf` or rely on `pipe-pane` or shell redirection to files, because a scrollback buffer is not an archival system. - Writing one long interactive command with no log. If the only record of a step is a pane's scrollback, the step is not reproducible. Redirect output to files from the start. - Learning the wrong prefix reflex. Ctrl-a conflicts with bash line editing (Ctrl-a moves the cursor to the start of the line). New tmux users who remap the prefix to Ctrl-a must rebind the line-start function or will fight their own shell forever. The simplest path is to keep tmux's default Ctrl-b. - Over-configuring before learning defaults. Spend a week with stock tmux, then configure. Copying an elaborate dotfile on day one teaches you the dotfile, not the tool. The limitation to keep in view is that a multiplexer solves session persistence and nothing else. It does not checkpoint computations, it does not schedule resources, it does not version code, and it does not secure data. Those are separate layers with separate tools, and this article's comparison is deliberately confined to the layer the multiplexer occupies. ## Frequently Asked Questions ### Is tmux objectively better than screen? For most modern bioinformatics use, yes, because tmux offers better pane handling, better copy and search, a richer status bar, and scriptable session management. screen wins on universal availability, simplicity, and effortless same-session sharing, so the correct answer depends on what your server allows and how complex your workflow is. ### Can I use screen and tmux on the same server? Yes. Both can be installed and used side by side, and you can run one inside the other, though nested use causes prefix-key collisions unless you rebind keys. In practice most people pick one tool per server based on availability and habit. ### Do I still need screen or tmux if my cluster uses Slurm? Yes. Slurm schedules compute jobs on cluster nodes, but you will still use a multiplexer for interactive work on login nodes, for monitoring queued jobs, for editing files, and for coordinating multi-step preparation. The two tools solve different problems and are used together routinely. ### What happens to my running job if my SSH connection drops? Nothing. The multiplexer's server process keeps the job running on the remote host, and when you reconnect and reattach, you find the session as you left it, including any panes, scrollback, and running commands. ### Which should a beginner in bioinformatics learn first? Learn tmux first if it is available, because its concepts transfer everywhere and its scripting features compound over a career. Learn screen first if your institutional server offers only screen, since the core detach-and-reattach skills are nearly identical between the two. ### Does a terminal multiplexer keep my work safe if the server reboots? No. A reboot terminates all multiplexer sessions and every process inside them. Multiplexers protect against connection loss, not host loss, so jobs that must survive reboots belong in a scheduler with checkpointing or a restartable script. ## Sources 1. [Real-world comparison of genome- and exome-based diagnostic workflows in a pediatric Albanian rare disease cohort.](https://pubmed.ncbi.nlm.nih.gov/43004392/) 2. [[Screening and Identification of Biomarkers for Acute Myocardial Ischemia in Mice Based on Bioinformatics].](https://pubmed.ncbi.nlm.nih.gov/43000969/) 3. [[Explore the potential diagnostic markers of primary Sjögren syndrome by bioinformatics combined with machine learning].](https://pubmed.ncbi.nlm.nih.gov/42880922/) 4. [An integrated bioinformatics analysis reveals that targeted activation of IL7R may reduce influenza A virus infection risk in patients with depression.](https://pubmed.ncbi.nlm.nih.gov/43004330/) 5. [Identification and Virtual Screening of Umami Peptides in HPLC Fractions of Tauco by LC-MS/MS and Bioinformatics Tools.](https://pubmed.ncbi.nlm.nih.gov/43001566/) 6. [Quantification bias in non-targeted extractables and leachables screening: A Monte Carlo comparison of uncertainty-factor and response-factor corrections.](https://pubmed.ncbi.nlm.nih.gov/42956537/) 7. [Transcriptomic associations and biomarkers in ANCA-associated Glomerulonephritis and IgG4-related Disease: A bioinformatics and machine learning study.](https://pubmed.ncbi.nlm.nih.gov/42784621/)